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Mukhopadhyay, Mahua. "Neuronal connectivity in the larval visual system of Drosophila melanogaster, cellular and molecular analyses." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/NQ51005.pdf.
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Bojner, Horwitz Eva. "Dance/Movement Therapy in Fibromyalgia Patients : Aspects and Consequences of Verbal, Visual and Hormonal Analyses." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4639.
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McGinnis, Klinton Charles-Jones. "Body-centered constructivism and lived religion in photojournalism: visual analyses and a creative case study." Thesis, University of Iowa, 2016. https://ir.uiowa.edu/etd/2243.
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The purpose of this study was to utilize the dual frameworks of Body-Centered Constructivism and Lived Religion to analyze the work of contemporary photojournalists and documentary photographers. Interviews were conducted with a targeted selection of professional and non-professional photojournalists whose experiences and work were relevant to the Body-Centered Constructivist framework. Informants were asked to comment on how physical factors including but not limited to new photographic technologies affected the use of their bodies while on assignment, their interpretation of stories, and their relationships with their subjects.
Next, visual analyses of works of photojournalism were conducted using a Lived Religion framework. These works were selected based on their relevance to the research questions presented, namely how photojournalists approach the mundane in coverage of religious stories.
An additional creative component operated as a case study for applying each framework to a work of visual journalism. Various media were employed based on relationships fostered between the media, the photographer’s body, and the subjects. Reflections and conclusions based on this project are included.
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Bickelmann, Constanze. "Visual pigment evolution and the paleobiology of early mammals." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2011. http://dx.doi.org/10.18452/16354.
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Auf der Basis von Fossilien wird angenommen, dass die ersten Säugetiere nachtaktiv waren. Diese Arbeit untersucht diese Hypothese mit bioinformatischen und molekularbiologischen Techniken. Der Fokus liegt auf dem Rhodopsin, ein Sehpigment im Wirbeltierauge, das für Sehen unter schlechten Lichtverhältnissen verantwortlich ist. Zunächst wurde das Rhodopsin der monotrematen Echidna, einem basalen Säugetier, sequenziert und mit zwei Mutanten mit Mutationen an Positionen 158 und 169 in vitro exprimiert. Die biochemische und funktionelle Charakterisierung ergab, dass das Echidna-Rhodopsin farbpigment-typische Charakteristika aufweist, was auf eine Expression auch in Zapfen hindeutet. Dies ist die erste Charakterisierung eines Rhodopsins eines nachtaktiven Tieres. Dann wurden anzestrale Rhodopsinsequenzen für die Knotenpunkte Amniota, Mammalia und Theria mithilfe der Maximum-Likelihood-Methode berechnet. Die in vitro Expression und biochemische und funktionelle Charakterisierung zeigt funktionale und rhodopsin-typische Sehpigmente. Das Mammalia- und Theria-Rhodopsin zeigen eine hohe Meta II Halbwertszeit. Dieses Ergebnis wird als eventuelle Anpassung an Sehen unter schlechten Lichtverhältnissen interpretiert, wobei, aufgrund von Unstimmigkeiten in der Literatur, Schlussfolgerungen auf ökologisch-bedingte Anpassungen basierend auf einzelnen Funktionstests problematisch sind, da die visuelle Signalkaskade ein sehr komplexes und durch viele Proteine vernetztes System darstellt. Zuletzt zeigen Selektionsanalysen, dass das Rhodopsin entlang der Theria-Linie positive Selektion auf nicht-synonyme Substitutionen erfahren hat, was zu Anpassungen in einem Protein führt. Der Fossilbericht belegt entlang dieser Linie mehrere Einnischungsevents in neue Lebensräume. Entlang der Mammalia-Linie wurde positive Selektion auf synonyme Substitutionen gemessen, was zu einer Zunahme an Rhodopsin-Molekülen führt und damit eine Anpassung an Sehen unter schlechten Lichtverhältnissen darstellt.<br>Based on information from the fossil record, the first mammals are thought to have been nocturnal. This thesis investigates this popular hypothesis using bioinformatic and molecular techniques, focusing on the rhodopsin, a visual pigment in the vertebrate eye that is responsible for vision at low-light levels. First, the rhodopsin gene of the monotreme echidna, a basal mammal, was sequenced and successfully expressed in vitro, together with two mutants with substitutions at sites 158 and 169. Biochemical and functional analyses revealed that the echidna rhodopsin displays cone-like characteristics, likely due to being also expressed in cones. With the echidna being nocturnal, this thesis comprises the first characterisation of a rhodopsin of a nocturnal animal. Second, ancestral rhodopsin sequences for the tetrapod nodes Amniota, Mammalia, and Theria were inferred using Maximum likelihood estimates. All expressed pigments were successfully expressed in vitro, functional and rod-like. Mammalia and Theria rhodopsins display a high meta II half life time, a pattern that is usually interpreted to facilitate better vision at low-light levels. However, due to inconsistency in the available data, the result also suggests that, with the visual signaling cascade being a complex and interconnected system, erecting ecological interpretations based on single biochemical and functional reactions is problematic. Third, selective constraint analyses performed on a set of tetrapod rhodopsin sequences indicate that positive selection on non-synonymous sites, was acting along the branch leading to Theria. This result reflects the rapid diversification into modern ecological habitats during the Triassic and Jurassic, as indicated by the fossil record. In addition, positive selection on synonymous sites, leading to an increase of rhodopsin molecules, was found along the branch leading to Mammalia and suggests adaptations to vision at low-light levels.
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Arise, Pavan Kumar. "A DEVELOPMENT OF A COMPUTER AIDED GRAPHIC USER INTERFACE POSTPROCESSOR FOR ROTOR BEARING SYSTEMS." UKnowledge, 2004. http://uknowledge.uky.edu/gradschool_theses/326.
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Rotor dynamic analysis, which requires extensive amount of data and rigorous analytical processing, has been eased by the advent of powerful and affordable digital computers. By incorporating the processor and a graphical interface post processor in a single set up, this program offers a consistent and efficient approach to rotor dynamic analysis. The graphic user interface presented in this program effectively addresses the inherent complexities of rotor dynamic analyses by linking the required computational algorithms together to constitute a comprehensive program by which input data and the results are exchanged, analyzed and graphically plotted with minimal effort by the user. Just by selecting an input file and appropriate options as required, the user can carry out a comprehensive rotor dynamic analysis (synchronous response, stability analysis, critical speed analysis with undamped map) of a particular design and view the results with several options to save the plots for further verification. This approach helps the user to modify the design of turbomachinery quickly, until an efficient design is reached, with minimal compromise in all aspects.
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Coutinho, Mariana Quintas de Azevedo. "O cartaz e o swiss style. Compromissos entre psicologia da forma e o design de comunicação." Master's thesis, Faculdade de Arquitectura de Lisboa, 2010. http://hdl.handle.net/10400.5/3341.
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Tese de Mestrado em Design de Comunicação<br>O estudo em vista irá incidir na área disciplinar do Design de Comunicação, mais concretamente, sobre o design gráfico. O primeiro, enquanto disciplina auxiliar na construção de mensagens, busca incessantemente diferentes formas de transmitir ideias a um público, seguindo, para tal, processos variados, inerentes à personalidade dos designers envolvidos no projecto. Contudo, apesar das suas variações e diferenças, os processos poder-se-ão essencialmente considerar subdivididos em duas etapas fundamentais: a primeira onde se dá o desenvolvimento e definição da ideia que se deseja transmitir, possuindo cariz conceptual; a segunda, de vertente prática constitui o território onde se dá a materialização da ideia. Ambas as etapas necessitam de métodos, mais ou menos universais ou flexíveis, a fim de garantir qualidade no resultado final. Porém, será a preocupação com o modo como a segunda etapa etapa referida condiciona o mesmo resultado que cosntitui uma das questões do nosso estudo, ou seja, a de melhor compreender a fase de execução do processo criativo. Um dos objectivos do presente estudo será resolver esta questão, contribuindo para isolar um conjunto de parâmetros que sirva para analisar metodicamente as soluções contempladas pelo Design na sua vertente de eficácia na comunicação de mensagens em cartazes. Adoptando a perspectiva de que a fase de execução do processo criativo requer um conhecimento prévio da reacção do público a determinadas formas e composições visuais, recorreu-se aos princípios da psicologia da forma para criar o atrás referido conjunto de parâmetros de análise. Assim, defeniu-se uma estrutura focando os seguintes tópicos: planos constituintes (figura-fundo); distribuição, organização e gestão de pesos visuais; orientação do olhar e forças perceptivas. Através da observação directa de casos de estudo, numa avaliação sistemática, tentaram-se extrapolar conclusões práticas. Os casos de estudo referidos pertencem exclusivamente ao Swiss Style, os quais, por se limitarem a utilizar apenas o "essencial" para comunicar uma ideia, nos permitiram uma análise de carácter, mais simples ou evidente. Nesta investigação, procurou-se, ainda, encontrar alguns pontos comuns entre a psicologia da forma e o Swiss Style. Os resultados do estudo desenvolvido poderão contribuir para apontar caminhos a alunos e profissionais na área do design gráfico, a fim de melhor desenvolverem os seus projectos com confiança nos momentos de decisão inerentes ao processo criativo.<br>This study verses on the disciplinary context of communication design, with a special interest on graphic design. The first, as an auxiliary discipline to the correct construction of messages, seeks to find new forms of communicating ideas to an audience through diffrent processes, related to the characters of the involved designers. However, despite their differences and variations, these processes can be essentially subdivided into two different stages: the first one, conceptual, is where the early developments and the definition of the idea occur; the second one, with a practical feature, is the territory where the materialization of the concept takes place. The above referred stages need more or less universal or flexible methods to guarantee quality in the final result. Nevertheless, one of the issues that is at the origin of this investigation is the concern with the way the secon stage determines the result, that is better understand the execution phase of the creative process. One of the aims of the present study will be to solve the question, contributing to isolate solutions used in the design activity, in its efficient communication of messages through the elaboration of posters. Through the adoption of a point of view based on the execution stage inherent to the creative process that requires a previous knowledge of audience's reaction to certain forms and visual compositional styles, the study used the principles of the gestalt theory to create the above referred set of analytical parameters. A structure was defined to organize the study, following some topics, such as: compositional planes (figure-ground); visual distribution, organization and weight management; eye orientation; and perpetual forces or tensions. The direct observation of examples and the effort to assess them systematically led to the extrapolation of some practical conclusions. The case studied belonged exclusively to Swiss Style. Using merely the "essential" to communicate an idea, they allowed us a simpler and more obvious analytical evaluation. In this investigation, there was some preocupation with establishing some common aspects between gestalt theory and Swiss Style. Results provided by this study will eventually contribute to show both to students and professionals, different decision moments intrinsic to the creative process.
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Beňo, Tomáš. "Odhalení klíčových faktorů vzniku neshodných kusů v sériové výrobě." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417476.
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The presented thesis deals with the issue of statistical quality control of a specific production process. The thesis presents a range of statistical tools that can be used to identify the factors causing a high proportion of non-standard pieces. The diploma thesis practically introduces the application of these quality management tools to the production process characterized by an increased proportion of non-standard pieces, in which the factors causing their occurrence are unknown, and as following the thesis in detail introduces the approach how to detect these factors. The last part of the work summarizes the recommendations handed over to the company in order to verify the conclusions of the thesis.
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Guttormsen, Schär Sissel [Verfasser]. "Multimedia Didactics : Studies on the learning effects of dynamic visual media, based on analyses of cognitive models and learning content characteristics / Sissel Guttormsen Schär." Aachen : Shaker, 2006. http://d-nb.info/1166514617/34.
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Thepparit, Tunyaporn. "Färg och minne i berättande bild." Thesis, Blekinge Tekniska Högskola, Institutionen för teknik och estetik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-15387.
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Mitt kandidatarbete går ut på att fastställa om det finns något samband mellan hur vi relaterar till färger i förhållande till platser och hur mycket våra tidigare erfarenheter som påverkar sambandet. Med hjälp av Donna Haraway´s arbeten om begreppet situerad kunskap och begreppet diffraktion av Karen Barad. I detta kandidatarbete används diffraktion som ett verktyg i skapandeprocess. Färg är någonting som vi ser hela tiden i vårt dagliga liv. Därför kopplar vårt minne ihop färg på både ett medvetet och omedvetet sätt, så som till platser, företagslogotyper, mat, hustyper, bilar och blommor. Eftersom mitt arbete handlar mycket om bilder, och färger, har jag använt mig av ett analysverktyg som heter Semiotisk analys, där jag får hjälp att tolka resultatet av färg och form i olika bilder. Slutsatsen kommer att handla om hur mycket tidigare erfarenheter kan påverka visuella arbetsminnet dvs. associationen mellan olika färger och olika platser, mycket, lite eller obetydligt. Resultatet kommer förmodligen att landa i någon form av påverkan.<br>With this Bachelor thesis, I want to enlighten if there are some connection between how we relate to colours in relations to separate places and how mush our previous experiences interfere with this relation. With the support of Donna Haraway´s works with the concept situated knowledge and with the concept diffraction of Karen Barad. In this Bachelor thesis, I use the concept diffraction as a tool in the design process. Colour is something as we see around us all the time in daily life. Therefor our memory connects colours together in a consciousness way and a unconsciousness way with a lot of different things as Places, Company Logos, food, different kind of Houses, Cars and Flowers among others. Because of my Bachelor thesis is about Pictures and colours, have I used a tool for analyses called Semiotic analyse, with this tool I got some support in the way of interpretation of colours and shapes in different Pictures. The conclusion is about how mush previous experience are going to affect the visual memory that is to say association between colours and separate places, a lot, little or almost nothing. The result is probably going to be some kind of influence.
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Costa, Patrícia Folgado Bargado. "Análise visual da paisagem. Caso de Estudo: concelho de Almada." Master's thesis, ISA, 2010. http://hdl.handle.net/10400.5/3111.
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Mestrado em Arquitectura Paisagista - Instituto Superior de Agronomia<br>The interest for the subject, “Visual Analysis of the Landscape in the Municipality of Almada”, emerged from the perception that projects don´t generally meet the needs of the populations, but instead they meet the personal preferences of the designer.
The aim of this work is to introduce public opinion as a tool in the design process.
Although the general public doesn´t possess the technical knowledge, making the intervention of the designer essential, they do possess the practical knowledge of the dynamics, needs and the most valuable assets of the landscape that surrounds the areas where they live or work.
As a case study I chose the Municipality of Almada, from which I took the seven most representative photos and then elaborated an inquiry to its population.
In an inquiry, these pictures were to be ordered by preference by the inquired, asking them to make the visual analysis of the municipality and revealing what kind of landscapes they most and least like.
It was possible to conclude that although the urban expansion engulfed the natural landscape, involving the population in an insalubrious environment, people still prefer landscapes with natural elements, like water or vegetation. Landscapes with cultural heritage are also of great importance, for they represent the identity of the population or of the nation itself.
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Qin, Lei. "Online machine learning methods for visual tracking." Thesis, Troyes, 2014. http://www.theses.fr/2014TROY0017/document.
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Nous étudions le problème de suivi de cible dans une séquence vidéo sans aucune connaissance préalable autre qu'une référence annotée dans la première image. Pour résoudre ce problème, nous proposons une nouvelle méthode de suivi temps-réel se basant sur à la fois une représentation originale de l’objet à suivre (descripteur) et sur un algorithme adaptatif capable de suivre la cible même dans les conditions les plus difficiles comme le cas où la cible disparaît et réapparait dans le scène (ré-identification). Tout d'abord, pour la représentation d’une région de l’image à suivre dans le temps, nous proposons des améliorations au descripteur de covariance. Ce nouveau descripteur est capable d’extraire des caractéristiques spécifiques à la cible, tout en ayant la capacité à s’adapter aux variations de l’apparence de la cible. Ensuite, l’étape algorithmique consiste à mettre en cascade des modèles génératifs et des modèles discriminatoires afin d’exploiter conjointement leurs capacités à distinguer la cible des autres objets présents dans la scène. Les modèles génératifs sont déployés dans les premières couches afin d’éliminer les candidats les plus faciles alors que les modèles discriminatoires sont déployés dans les couches suivantes afin de distinguer la cibles des autres objets qui lui sont très similaires. L’analyse discriminante des moindres carrés partiels (AD-MCP) est employée pour la construction des modèles discriminatoires. Enfin, un nouvel algorithme d'apprentissage en ligne AD-MCP a été proposé pour la mise à jour incrémentale des modèles discriminatoires<br>We study the challenging problem of tracking an arbitrary object in video sequences with no prior knowledge other than a template annotated in the first frame. To tackle this problem, we build a robust tracking system consisting of the following components. First, for image region representation, we propose some improvements to the region covariance descriptor. Characteristics of a specific object are taken into consideration, before constructing the covariance descriptor. Second, for building the object appearance model, we propose to combine the merits of both generative models and discriminative models by organizing them in a detection cascade. Specifically, generative models are deployed in the early layers for eliminating most easy candidates whereas discriminative models are in the later layers for distinguishing the object from a few similar "distracters". The Partial Least Squares Discriminant Analysis (PLS-DA) is employed for building the discriminative object appearance models. Third, for updating the generative models, we propose a weakly-supervised model updating method, which is based on cluster analysis using the mean-shift gradient density estimation procedure. Fourth, a novel online PLS-DA learning algorithm is developed for incrementally updating the discriminative models. The final tracking system that integrates all these building blocks exhibits good robustness for most challenges in visual tracking. Comparing results conducted in challenging video sequences showed that the proposed tracking system performs favorably with respect to a number of state-of-the-art methods
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Eriksson, Edlund Lova. "En visuell analys av en klimatkampanj från Greenpeace." Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-22491.
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Denna uppsats består av en bildanalys av en visuell kampanj bestående av fem bild-par med två bilder var, eller diptyker, skapad av Greenpeace. Genom att granska faktorer som visuellt arbetsminne, symbolisk interaktion, socialisering, retoriska tilltal samt bildspråk och applicera dessa på en visuell kommunikation kan en med större enkelhet se hur dessa arbetar och interagerar. På så sätt får vi veta hur avsändaren kan använda sig av olika kommunikationsmetoder för att förmedla ett budskap likväl som hur mottagaren kan tänkas ta emot och tolka detta. Greenpeace har använt sig av etos, logos och patos för att föra fram sitt budskap, samt en kunskap om sin målgrupps generella socialisering för att tilltala de konnotationer som målgruppen innehar gällande klimatkrisen och dess konsekvenser.Genom att inte inkludera någon text utan istället fokusera på dessa konnotationer och tala till betraktarens intellekt så uppmanar Greenpeace till personlig uppfattning och tolkning. De har även använt sig av starka färger, kontraster och intressanta kompositioner för att fånga åskådarens blick, uppmärksamhet och intresse.<br>This essay consists of a analysis of a visual campaign consisting of five pairs of images with two images each, so called diptychs, created by Greenpeace. By examining factors like visual working memories, symbolic interaction, socialization, communication methods and visual language and applying these onto a visual communication one could with more ease see how these work and interact. Like this we find out how the sender could make use of different methods of communication to mediate a message as well as how the recipient could come to receive and interpret this. Greenpeace has used ethos, logos and pathos to deliver their message, and a knowledge about their target audiences general socialization to appeal to those connotations that the audience have about the climate crisis and its consequences. By not including a text but instead focus on these connotations and speaking to the observers intellect, Greenpeace calls for personal perception and interpretation. They have also used bright colors, contrasts and interesting compositions to catch the observers eye, attention and interest.
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Jain, Varun. "Visual Observation of Human Emotions." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GRENM006/document.
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Cette thèse a pour sujet le développement de méthodes et de techniques permettant d'inférer l'état affectif d'une personne à partir d'informations visuelles. Plus précisement, nous nous intéressons à l'analyse d'expressions du visage, puisque le visage est la partie la mieux visible du corps, et que l'expression du visage est la manifestation la plus évidente de l'affect. Nous étudions différentes théories psychologiques concernant affect et émotions, et différentes facons de représenter et de classifier les émotions d'une part et la relation entre expression du visage et émotion sousjacente d'autre part. Nous présentons les dérivées Gaussiennes multi-échelle en tant que descripteur dímages pour l'estimation de la pose de la tête, pour la détection de sourire, puis aussi pour la mesure de l'affect. Nous utilisons l'analyse en composantes principales pour la réduction de la dimensionalité, et les machines à support de vecteur pour la classification et la regression. Nous appliquons cette même architecture, simple et efficace, aux différents problèmes que sont l'estimation de la pose de tête, la détection de sourire, et la mesure d'affect. Nous montrons que non seulement les dérivées Gaussiennes multi-échelle ont une performance supérieure aux populaires filtres de Gabor, mais qu'elles sont également moins coûteuses en calculs. Lors de nos expérimentations nous avons constaté que dans le cas d'un éclairage partiel du visage les dérivées Gaussiennes multi-échelle ne fournissent pas une description d'image suffisamment discriminante. Pour résoudre ce problème nous combinons des dérivées Gaussiennes avec des histogrammes locaux de type LBP (Local Binary Pattern). Avec cette combinaison nous obtenons des résultats à la hauteur de l'état de l'art pour la détection de sourire dans le base d'images GENKI qui comporte des images de personnes trouvées «dans la nature» sur internet, et avec la difficile «extended YaleB database». Pour la classification dans la reconnaissance de visage nous utilisons un apprentissage métrique avec comme mesure de similarité une distance de Minkowski. Nous obtenons le résultat que les normes L1 and L2 ne fournissent pas toujours la distance optimale; cet optimum est souvent obtenu avec une norme Lp où p n'est pas entier. Finalement, nous développons un système multi-modal pour la détection de dépressions nerveuses, avec en entrée des informations audio et vidéo. Pour la détection de mouvements intra-faciaux dans les données vidéo nous utilisons de descripteurs de type LBP-TOP (Local Binary Patterns -Three Orthogonal Planes), alors que nous utilisons des trajectoires denses pour les mouvements plus globaux, par exemple de la tête ou des épaules. Nous avons trouvé que les descripteurs LBP-TOP encodés avec des vecteurs de Fisher suffisent pour dépasser la performance de la méthode de reférence dans la compétition «Audio Visual Emotion Challenge (AVEC) 2014». Nous disposons donc d'une technique effective pour l'evaluation de l'état dépressif, technique qui peut aisement être étendue à d'autres formes d'émotions qui varient lentement, comme l'humeur (mood an Anglais)<br>In this thesis we focus on the development of methods and techniques to infer affect from visual information. We focus on facial expression analysis since the face is one of the least occluded parts of the body and facial expressions are one of the most visible manifestations of affect. We explore the different psychological theories on affect and emotion, different ways to represent and classify emotions and the relationship between facial expressions and underlying emotions. We present the use of multiscale Gaussian derivatives as an image descriptor for head pose estimation, smile detection before using it for affect sensing. Principal Component Analysis is used for dimensionality reduction while Support Vector Machines are used for classification and regression. We are able to employ the same, simple and effective architecture for head pose estimation, smile detection and affect sensing. We also demonstrate that not only do multiscale Gaussian derivatives perform better than the popular Gabor Filters but are also computationally less expensive to compute. While performing these experiments we discovered that multiscale Gaussian derivatives do not provide an appropriately discriminative image description when the face is only partly illuminated. We overcome this problem by combining Gaussian derivatives with Local Binary Pattern (LBP) histograms. This combination helps us achieve state-of-the-art results for smile detection on the benchmark GENKI database which contains images of people in the "wild" collected from the internet. We use the same description method for face recognition on the CMU-PIE database and the challenging extended YaleB database and our results compare well with the state-of-the-art. In the case of face recognition we use metric learning for classification, adopting the Minkowski distance as the similarity measure. We find that L1 and L2 norms are not always the optimum distance metrics and the optimum is often an Lp norm where p is not an integer. Lastly we develop a multi-modal system for depression estimation with audio and video information as input. We use Local Binary Patterns -Three Orthogonal Planes (LBP-TOP) features to capture intra-facial movements in the videos and dense trajectories for macro movements such as the movement of the head and shoulders. These video features along with Low Level Descriptor (LLD) audio features are encoded using Fisher Vectors and finally a Support Vector Machine is used for regression. We discover that the LBP-TOP features encoded with Fisher Vectors alone are enough to outperform the baseline method on the Audio Visual Emotion Challenge (AVEC) 2014 database. We thereby present an effective technique for depression estimation which can be easily extended for other slowly varying aspects of emotions such as mood
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Shah, Neet. "Visual Field Analysis for Functional Visual Loss." Thesis, The University of Arizona, 2018. http://hdl.handle.net/10150/626887.
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Davis, Myers Abraham. "Visual vibration analysis." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107330.
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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 109-113).<br>This dissertation shows how regular cameras can be used to record and analyze the vibrations of visible objects. Through careful temporal analysis, we relate subtle changes in video to the vibrations of recorded surfaces, and use that information to reason about the physical properties of objects and the forces that drive their motion. We explore several applications of our approach to extracting vibrations from video - using it to recover sound from distant surfaces, estimate the physical properties of visible objects, and even predict how objects will respond to new, previously unseen forces. Our work impacts a variety of fields, ranging from computer vision, to long-distance structural health monitoring and nondestructive testing, surveillance, and even visual effects for film. By imaging the vibrations of objects, we offer cameras as low-cost vibration sensors with dramatically higher spatial resolution than the devices traditionally used in engineering. In doing so, we turn every camera into a powerful tool for vibration analysis, and provide an exciting new way to image the world.<br>by Myers Abraham Davis (Abe Davis)<br>Ph. D.
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Maczyta, Léo. "Dynamic visual saliency in image sequences." Thesis, Rennes 1, 2020. http://www.theses.fr/2020REN1S046.
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Les travaux de la thèse portent sur l'estimation de la saillance du mouvement dans des séquences d'images. Dans une première partie, nous avons traité un sujet très peu abordé: la détection des images présentant un mouvement saillant. Pour cela, nous nous appuyons sur un réseau de neurones convolutif et sur la compensation du mouvement de la caméra. Dans une seconde partie, nous avons conçu une méthode originale d'estimation de cartes de saillance du mouvement. Cette méthode ne requiert pas d'apprentissage. L'indice de saillance est obtenu par une étape d'inpainting du flot optique, suivie d'une comparaison avec le flot initial. Dans un troisième temps, nous nous sommes intéressés à l'estimation de la saillance de trajectoires pour appréhender une saillance progressive. Nous construisons une méthode faiblement supervisée s'appuyant sur un réseau auto-encodeur récurrent, qui représente chaque trajectoire avec un code latent. Toutes ces méthodes ont été validées sur des données de vidéo réelles<br>Our thesis research is concerned with the estimation of motion saliency in image sequences. First, we have defined an original method to detect frames in which a salient motion is present. For this, we propose a framework relying on a deep neural network, and on the compensation of the dominant camera motion. Second, we have designed a method for estimating motion saliency maps. This method requires no learning. The motion saliency cue is obtained by an optical flow inpainting step, followed by a comparison with the initial flow. Third, we consider the problem of trajectory saliency estimation to handle progressive saliency over time. We have built a weakly supervised framework based on a recurrent auto-encoder that represents trajectories with latent codes. Performance of the three methods was experimentally assessed on real video datasets
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McAulay, Ian Charles. "Visual descriptors : a design tool for visual impact analysis." Thesis, University of Plymouth, 1988. http://hdl.handle.net/10026.1/2401.
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This study is concerned with the development of a practical and effective form of computer-aided analysis of the visual impact of building development in rural areas. Its contribution is fourfold. Firstly, a conceptual model has been developed for the process of seeing in the context of visual impact analysis. Secondly, a mathematical model for a consistent series of visual descriptors has been devised. Thirdly, a suitable design tool has been devised to make use of visual descriptors in visual impact analysis. Fourthly, visual descriptors have actually been implemented as computer software. The concept of visual impact analysis is defined and placed within the wider context of landscape research. The problems faced by a designer in the context of visual impact analysis are identified and the concept of a 'design tool' is introduced and defined. A number of existing computer software packages, intended or used for visual impact analysis, are reviewed critically. The concept of 'visual descriptors' as measures to be used by designers is introduced and examined critically. A conceptual model is presented for the process of seeing in the context of visual impact analysis. A range of possible measures for use as visual descriptors is presented and developed further into a series of precise definitions. A method of implementing visual descriptors is presented together with formal algorithms for the derivation of eight visual descriptors. A software package incorporating these descriptors is presented and verification and case studies of its use carried out. Visual descriptors, as implemented, are assessed for their effectiveness as a design tool for visual impact analysis.
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Larsson, Petter. "Automatic Visual Behavior Analysis." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1980.
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<p>This work explores the possibilities of robust, noise adaptive and automatic segmentation of driver eye movements into comparable quantities as defined in the ISO 15007 and SAE J2396 standards for in-vehicle visual demand measurements. Driver eye movements have many potential applications, from the detection of driver distraction, drowsiness and mental workload, to the optimization of in-vehicle HMIs. This work focuses on SeeingMachines head and eye-tracking system SleepyHead (or FaceLAB), but is applicable to data from other similar eye-tracking systems. A robust and noise adaptive hybrid algorithm, based on two different change detection protocols and facts about eye-physiology, has been developed. The algorithm has been validated against data, video transcribed according to the ISO/SAE standards. This approach was highly successful, revealing correlations in the region of 0.999 between analysis types i.e. video transcription and the analysis developed in this work. Also, a real-time segmentation algorithm, with a unique initialization fefature, has been developed and validated based on the same approach.</p><p>This work enables real-time in-vehicle systems, based on driver eye-movements, to be developed and tested in real driving conditions. Furthermore, it has augmented FaceLAB by providing a tool that can easily be used when analysis of eye movements are of interest e.g. HMI and ergonomics studies, analysis of warnings, driver workload estimation etc.</p>
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Machado, Vinícius Fritzen. "Visual soccer match analysis." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2016. http://hdl.handle.net/10183/144074.
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Futebol é um esporte fascinante que capta a atenção de milhões de pessoas no mundo. Equipes de futebol profissionais, bem como os meios de comunicação, têm um profundo interesse na análise de partidas de futebol. Análise estatística é a abordagem mais usada para descrever um jogo de futebol, no entanto, muitas vezes eles não conseguem captar a evolução do jogo e as mudanças de estratégias que aconteceram. Neste trabalho, apresentamos Visual Soccer Match Analysis (VSMA), uma ferramenta para a compreensão dos diferentes aspectos relacionados com a evolução de um jogo de futebol. A nossa ferramenta recebe como entrada as coordenadas de cada jogador durante o jogo, bem como os eventos associados. Apresentamos um design visual que permite identificar rapidamente padrões relevantes em jogo. A abordagem foi desenvolvida em conjunto com colegas da área da educação física com experiência em análise de futebol. Validamos a utilidade da nossa abordagem utilizando dados de várias partidas, juntamente com avaliações de especialistas.<br>Soccer is a fascinating sport that captures the attention of millions of people in the world. Professional soccer teams, as well as the broadcasting media, have a deep interest in the analysis of soccer matches. Statistical summaries are the most-used approach to describe a soccer match. However, they often fail to capture the evolution of the game and changes of strategies that happen. In this work, we present the Visual Soccer Match Analysis (VSMA) system, a tool for understanding the different aspects associated with the evolution of a soccer match. Our tool receives as input the coordinates of each player throughout the match and related events. We present a visual design that allows to quickly identify relevant patterns in the match. Our approach was developed in conjunction with colleagues from the physical education field with expertise in soccer analysis. We validated the system utility using several matches together with expert evaluations.
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Jancsary, Dennis, Markus Höllerer, and Renate Meyer. "Critical analysis of visual and multimodal texts." SAGE, 2016. http://epub.wu.ac.at/6126/1/Dennis_etal_2016_SAGE%2Dcritical%2Danalysis.pdf.
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Zufelt, Darren Allan. "Toward a More Visually Literate Writing Classroom: An Analysis of Visual Communication Pedagogy and Practices." Diss., North Dakota State University, 2019. https://hdl.handle.net/10365/32046.
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“Toward a More Visually Literate Writing Classroom: An Analysis of Visual Communication Pedagogy and Practices” examines the teaching of visual communication in undergraduate professional and technical communication courses. Through an analysis of scholarship, textbooks, I argue that a situated visual communication pedagogy that integrates both analysis and reflection throughout the visual production and design process can better allow students to understand the ways in which the visual participates within larger social and cultural contexts. This understanding helps students develop abilities to potentially transform visual discourses emphasizing that all visual documents and texts, including the ones they produce, participate in shaping the ways in which meaning is made. By integrating visual communication and design into civic engagement pedagogies in the professional and technical communication classroom, instructors and students can begin to interrogate the view that professional and technical communication is a neutral, objective practice concerned only with prescriptive adherence to forms, conventions, workplace efficiency, and corporate success. Thus, in addition to helping students develop as communicators and thinkers, integrating visual communication into service-learning and throughout the duration of a course allows students to explore the civic dimensions of professional and technical communication, situating them as engaged designers and active members of their communities.
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Ardila, Jimenez Silvia. "Analysis of visual responses in the mouse early visual pathway." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/43376.
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Many animals, including humans, rely on visual input to guide their behaviour and interact with their environment. The study of the visual system is prevalent in neuroscience, however, given the highly complex nature of the brain, we are yet to understand the full functionality of the system. In this study, we set out to explore different aspects of visual processing in the mouse early visual pathway, and how they compare to those in other mammals. In this thesis, we study two major brain structures in the early visual pathway, the dorsal lateral geniculate nucleus (dLGN) in the thalamus, and the primary visual area (V1 or area 17) in the cortex. We aim to explore 3 different aspects of visual information processing in these areas. Firstly, the functional response characteristics of single neurons in the visual thalamus. Secondly, whether additional communication channels are used in thalamo-cortical interactions in the mouse. And lastly, the correlation of behaviour within neuronal population activity in visual cortex. We use data from two different experimental paradigms. One involves an anaesthetised preparation, recording extracellular potentials from the visual thalamus in isolation, or from the visual thalamus and the primary visual cortex simultaneously. The second involves an awake preparation in which animals were trained on a 'Go'/'NoGo' discrimination task and extracellular potentials were recorded from the primary visual cortex during behaviour. This project combines time-series analysis and information theoretical methods to analyse high dimensional multi-electrode array recordings. In addition to the analysis of experimental data, we also explore the practical and methodological implications of measuring communication through cross-frequency coupling and propose an alternative method to measure this phenomenon.
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Song, Guanghan. "Effect of sound in videos on gaze : contribution to audio-visual saliency modelling." Thesis, Grenoble, 2013. http://www.theses.fr/2013GRENT013/document.
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Les humains reçoivent grande quantité d'informations de l'environnement avec vue et l'ouïe . Pour nous aider à réagir rapidement et correctement, il existe des mécanismes dans le cerveau à l'attention de polarisation vers des régions particulières , à savoir les régions saillants . Ce biais attentionnel n'est pas seulement influencée par la vision , mais aussi influencée par l'interaction audio - visuelle . Selon la littérature existante , l'attention visuelle peut être étudié à mouvements oculaires , mais l'effet sonore sur le mouvement des yeux dans les vidéos est peu connue . L'objectif de cette thèse est d'étudier l'influence du son dans les vidéos sur le mouvement des yeux et de proposer un modèle de saillance audio - visuel pour prédire les régions saillants dans les vidéos avec plus de précision . A cet effet, nous avons conçu une première expérience audio - visuelle de poursuite oculaire . Nous avons créé une base de données d'extraits vidéo courts choisis dans divers films . Ces extraits ont été consultés par les participants , soit avec leur bande originale (condition AV ) , ou sans bande sonore ( état V) . Nous avons analysé la différence de positions de l'oeil entre les participants des conditions de AV et V . Les résultats montrent qu'il n'existe un effet du bruit sur le mouvement des yeux et l'effet est plus important pour la classe de la parole à l'écran . Ensuite , nous avons conçu une deuxième expérience audiovisuelle avec treize classes de sons. En comparant la différence de positions de l'oeil entre les participants des conditions de AV et V , nous concluons que l'effet du son est différente selon le type de son , et les classes avec la voix humaine ( c'est à dire les classes parole , chanteur , bruit humain et chanteurs ) ont le plus grand effet . Plus précisément , la source sonore a attiré considérablement la position des yeux uniquement lorsque le son a été la voix humaine . En outre , les participants atteints de la maladie de AV avaient une durée moyenne plus courte de fixation que de l'état de V . Enfin , nous avons proposé un modèle de saillance audio- visuel préliminaire sur la base des résultats des expériences ci-dessus . Dans ce modèle , deux stratégies de fusion de l'information audio et visuelle ont été décrits: l'un pour la classe de son discours , et l'autre pour la musique classe de son instrument . Les stratégies de fusion audio - visuelle définies dans le modèle améliore la prévisibilité à la condition AV<br>Humans receive large quantity of information from the environment with sight and hearing. To help us to react rapidly and properly, there exist mechanisms in the brain to bias attention towards particular regions, namely the salient regions. This attentional bias is not only influenced by vision, but also influenced by audio-visual interaction. According to existing literature, the visual attention can be studied towards eye movements, however the sound effect on eye movement in videos is little known. The aim of this thesis is to investigate the influence of sound in videos on eye movement and to propose an audio-visual saliency model to predict salient regions in videos more accurately. For this purpose, we designed a first audio-visual experiment of eye tracking. We created a database of short video excerpts selected from various films. These excerpts were viewed by participants either with their original soundtrack (AV condition), or without soundtrack (V condition). We analyzed the difference of eye positions between participants with AV and V conditions. The results show that there does exist an effect of sound on eye movement and the effect is greater for the on-screen speech class. Then, we designed a second audio-visual experiment with thirteen classes of sound. Through comparing the difference of eye positions between participants with AV and V conditions, we conclude that the effect of sound is different depending on the type of sound, and the classes with human voice (i.e. speech, singer, human noise and singers classes) have the greatest effect. More precisely, sound source significantly attracted eye position only when the sound was human voice. Moreover, participants with AV condition had a shorter average duration of fixation than with V condition. Finally, we proposed a preliminary audio-visual saliency model based on the findings of the above experiments. In this model, two fusion strategies of audio and visual information were described: one for speech sound class, and one for musical instrument sound class. The audio-visual fusion strategies defined in the model improves its predictability with AV condition
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Maushagen, Jan. "Visual Analysis of Publication Networks." Thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-27487.
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This thesis documents the development of a web-application attacking the problem of visualization of co-authorship networks. The visualization encompasses several views.Each of them shows different aspects of the data which is loaded from Academic Archive Online (DiVa), a library system which holds all publications released in the Linnaeus University. To detect relationships among authors, a new interactive layout for Node-Link Diagrams was developed which shows publications, authors and corresponding organizations (faculties, departments) in a radial manner. This Network-View is connected to another view showing the attributes (year, type) of the publications. In development, particular emphasis was placed on a rich support of user interaction in order to equip the user with a tool that allows graphical and explorative analysis of the underlying data.
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Tresadern, Phil. "Visual analysis of articulated motion." Thesis, University of Oxford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.436970.
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Turkmani, Aseel. "Visual analysis of viseme dynamics." Thesis, University of Surrey, 2008. http://epubs.surrey.ac.uk/804944/.
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Face-to-face dialogue is the most natural mode of communication between humans. The combination of human visual perception of expression and perception in changes in intonation provides semantic information that communicates idea, feelings and concepts. The realistic modelling of speech movements, through automatic facial animation, and maintaining audio-visual coherence is still a challenge in both the computer graphics and film industry.
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Purdie, Cameron L. "Computer aided visual impact analysis." Thesis, University of Strathclyde, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.385519.
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Chan, Y. M. "Depth perception in visual images." Thesis, University of Brighton, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.380238.
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Pålsson, Nicholas. "Guiding the viewer using visual components : Eye-tracking for visual analysis." Thesis, Luleå tekniska universitet, Institutionen för konst, kommunikation och lärande, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-74563.
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Are there ways to assess the objective value of the image? By first breaking down visual components and visual structure that are commonly used in image construction, this report will try to predict how a audience chooses to view an image. Through eye-tracking technology using a webcam to track the subjects' eye movement, these visual components validation will be tested. The result is presented as heatmaps; which illustrate the point of attention of the audience. The result is then compared with a hypothesis that was compiled in preparation for the examination. The result of the survey shows that potential off using eye-tracking for analysis, though the technology of using a web camera might not be the most suitable.
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Ferm, Andreas. "Visual attention analysis using eyetracker data." Thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-95333.
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Little research has been done on the task of how a person searches for images when presented with a set of images, typically those presented by image search engines. By investigating the properties we might be able to present the images in a different manner to ease the users search for the image he/she is looking for. The work was performed at Chiba University under the supervision of Norimichi Tsumura and Reiner Lenz. I created an experimental platform which first showed a target image and then a 7 × 4 grid in which the users task would be to locate the target image. The experiment data was recorded with a NAC EMR-8B eyetracker that saved the data as both a video and serial data stream. The data was later used to extract certain characteristics for different image sets, like how the eye fixates, and how different image sets affect the scan. The initial place where the user started his/her search was dependent on where the user previously was fixating. It was also more probable that subsequent fixations were placed in a close proximity to the previous fixation. My results also show that the search task was slightly faster when images where placed with a high contrast between neighboring images, i.e. dark images next to bright ones etc.
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Mannan, Sabira Khanam. "The visual analysis of complex scenes." Thesis, Imperial College London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321654.
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Wilson, Andrew David. "Learning visual behavior for gesture analysis." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/62924.
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Chung, HaeYong. "Designing Display Ecologies for Visual Analysis." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/52042.
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The current proliferation of connected displays and mobile devices from smart phones and tablets to wall-sized displays presents a number of exciting opportunities for information visualization and visual analytics. When a user employs heterogeneous displays collaboratively to achieve a goal, they form what is known as a display ecology. The display ecology enables multiple displays to function in concert within a broader technological environment to accomplish tasks and goals. However, since information and tasks are scattered and disconnected among separate displays, one of the inherent challenges associated with visual analysis in display ecologies is enabling users to seamlessly coordinate and subsequently connect and integrate information across displays. This research primarily addresses these challenges through the creation of interaction and visualization techniques and systems for display ecologies in order to support sensemaking with visual analysis.
This dissertation explores essential visual analysis activities and design considerations for visual analysis in order to inform the new design of display ecologies for visual analysis. Based on identified design considerations, we then designed and developed two visual analysis systems. First, VisPorter supports intuitive gesture interactions for sharing and integrating information in a display ecology. Second, the Spatially Aware Visual Links (SAViL) presents a cross-display visual link technique capable of guiding the user's attention to relevant information across displays. It also enables the user to visually connect related information over displays in order to facilitate synthesizing information scattered over separate displays and devices. The various aspects associated with the techniques described herein help users to transform and empower the multiple displays in a display ecology for enhanced visual analysis and sensemaking.<br>Ph. D.
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Oikonomopoulos, Antonios. "Spatiotemporal visual analysis of human actions." Thesis, Imperial College London, 2010. http://hdl.handle.net/10044/1/5871.
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In this dissertation we propose four methods for the recognition of human activities. In all four of them, the representation of the activities is based on spatiotemporal features that are automatically detected at areas where there is a significant amount of independent motion, that is, motion that is due to ongoing activities in the scene. We propose the use of spatiotemporal salient points as features throughout this dissertation. The algorithms presented, however, can be used with any kind of features, as long as the latter are well localized and have a well-defined area of support in space and time. We introduce the utilized spatiotemporal salient points in the first method presented in this dissertation. By extending previous work on spatial saliency, we measure the variations in the information content of pixel neighborhoods both in space and time, and detect the points at the locations and scales for which this information content is locally maximized. In this way, an activity is represented as a collection of spatiotemporal salient points. We propose an iterative linear space-time warping technique in order to align the representations in space and time and propose to use Relevance Vector Machines (RVM) in order to classify each example into an action category. In the second method proposed in this dissertation we propose to enhance the acquired representations of the first method. More specifically, we propose to track each detected point in time, and create representations based on sets of trajectories, where each trajectory expresses how the information engulfed by each salient point evolves over time. In order to deal with imperfect localization of the detected points, we augment the observation model of the tracker with background information, acquired using a fully automatic background estimation algorithm. In this way, the tracker favors solutions that contain a large number of foreground pixels. In addition, we perform experiments where the tracked templates are localized on specific parts of the body, like the hands and the head, and we further augment the tracker’s observation model using a human skin color model. Finally, we use a variant of the Longest Common Subsequence algorithm (LCSS) in order to acquire a similarity measure between the resulting trajectory representations, and RVMs for classification. In the third method that we propose, we assume that neighboring salient points follow a similar motion. This is in contrast to the previous method, where each salient point was tracked independently of its neighbors. More specifically, we propose to extract a novel set of visual descriptors that are based on geometrical properties of three-dimensional piece-wise polynomials. The latter are fitted on the spatiotemporal locations of salient points that fall within local spatiotemporal neighborhoods, and are assumed to follow a similar motion. The extracted descriptors are invariant in translation and scaling in space-time. Coupling the neighborhood dimensions to the scale at which the corresponding spatiotemporal salient points are detected ensures the latter. The descriptors that are extracted across the whole dataset are subsequently clustered in order to create a codebook, which is used in order to represent the overall motion of the subjects within small temporal windows.Finally,we use boosting in order to select the most discriminative of these windows for each class, and RVMs for classification. The fourth and last method addresses the joint problem of localization and recognition of human activities depicted in unsegmented image sequences. Its main contribution is the use of an implicit representation of the spatiotemporal shape of the activity, which relies on the spatiotemporal localization of characteristic ensembles of spatiotemporal features. The latter are localized around automatically detected salient points. Evidence for the spatiotemporal localization of the activity is accumulated in a probabilistic spatiotemporal voting scheme. During training, we use boosting in order to create codebooks of characteristic feature ensembles for each class. Subsequently, we construct class-specific spatiotemporal models, which encode where in space and time each codeword ensemble appears in the training set. During testing, each activated codeword ensemble casts probabilistic votes concerning the spatiotemporal localization of the activity, according to the information stored during training. We use a Mean Shift Mode estimation algorithm in order to extract the most probable hypotheses from each resulting voting space. Each hypothesis corresponds to a spatiotemporal volume which potentially engulfs the activity, and is verified by performing action category classification with an RVM classifier.
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Santarcangelo, Vito. "Visual Behavior Analysis in Retail Scenario." Doctoral thesis, Università di Catania, 2018. http://hdl.handle.net/10761/4135.
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The retail world is today highly competitive and has seen its logics completely revolutionized by the introduction of e-commerce that have prompted a reaction from the retail market, requiring greater attention to the consumer. We therefore moved from the world of traditional marketing (generic flyer) to that of 1to1 marketing (specific attention to the customer, profiling and personalization of the assortment offer). In this context the need arises to introduce innovative tools that can allow the physical sales spaces to be kept competitive, interacting more with the customer in order to create a more relevant commercial proposal. As a consequence, the computer vision represented one of the possible means to carry out the behavioral analysis of the consumer useful for dynamically adapting the assortment proposal.
DOOH (Digital Out Of Home) in its most widespread form of interactive point-of sale kiosks is one of the best tools to get in touch with the customer, create a synergy with him, listen to his needs in order to improve the offer, the level of service and therefore customer satisfaction. Next to DOOH, it is necessary to introduce further and time-continuous monitoring tools, which map the entire customer's shopping experience into the point of sale. For this purpose the egocentric vision is introduced through the use of cam narratives on board the trolleys, which allow a timely story of the consumer, called Visual Market Basket Analysis (evolution of Market Basket Analysis), which generates process functional alerts to the improvement of
the service offered. The story of these approaches is provided in this PhD thesis, which tells the three-year course carried out, its experiments and possible future developments.
This study has been conducted thanks to the support of Centro Studi S.r.l., a sister company of a privately owned consumer goods distribution company called Orizzonti Holding Group, located in southern Italy. The study has been implemented through an industrial application approach, in a real context (Futura Supermarkets). Consequently, the PhD thesis has considered the typical difficulties of a challenging environment, starting from the creation and acquisition of a dataset to the integration of the approach in the current business processes.
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RIZVI, SYED TAHIR HUSSAIN. "Visual Analysis Algorithms for Embedded Systems." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2707423.
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The main contribution of this thesis is the design and development of an optimized framework to realize the deep neural classifiers on the embedded platforms. Deep convolutional networks exhibit unmatched performance in image classification. However, these deep classifiers demand huge computational power and memory storage. That is an issue on embedded devices due to limited onboard resources. The computational demand of neural networks mainly stems from the convolutional layers. A significant improvement in performance can be obtained by reducing the computational complexity of these convolutional layers, making them realizable on embedded platforms.
In this thesis, we proposed a CUDA (Compute Unified Device Architecture)-based accelerated scheme to realize the deep architectures on the embedded platforms by exploiting the already trained networks. All required functions and layers to replicate the trained neural networks were implemented and accelerated using concurrent resources of embedded GPU. Performance of our CUDA-based proposed scheme was significantly improved by performing convolutions in the transform domain. This matrix multiplication based convolution was also compared with the traditional approach to analyze the improvement in inference performance.
The second part of this thesis focused on the optimization of the proposed framework. The flow of our CUDA-based framework was optimized using unified memory scheme and hardware-dependent utilization of computational resources. The proposed flow was evaluated over three different image classification networks on Jetson TX1 embedded board and Nvidia Shield K1 tablet. The performance of proposed GPU-only flow was compared with its sequential and heterogeneous versions. The results showed that the proposed scheme brought the higher performance and enabled the real-time image classification on the embedded platforms with lesser storage requirements. These results motivated us towards the realization of useful real-time classification and recognition problems on the embedded platforms.
Finally, we utilized the proposed framework to realize the neural network-based automatic license plate recognition (ALPR) system on a mobile platform. This highly-precise and computationally demanding system was deployed by simplifying the flow of trained deep architecture developed for powerful desktop and server environments. A comparative analysis of computational complexity, recognition accuracy and inference performance was performed.
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PATTI, DENIS. "Visual Analysis Algorithms for Embedded Systems." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2709452.
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Visual search systems are very popular applications, but on-line versions in 3G wireless environments suffer from network constraint like unstable or limited bandwidth that entail latency in query delivery, significantly degenerating the user’s experience. An alternative is to exploit the ability of the newest mobile devices to perform heterogeneous activities, like not only creating but also processing images. Visual feature extraction and compression can be performed on on-board Graphical Processing Units (GPUs), making smartphones capable of detecting a generic object (matching) in an exact way or of performing a classification activity.
The latest trends in visual search have resulted in dedicated efforts in MPEG standardization, namely the MPEG CDVS (Compact Descriptor for Visual Search) standard. CDVS is an ISO/IEC standard used to extract a compressed descriptor.
As regards to classification, in recent years neural networks have acquired an impressive importance and have been applied to several domains. This thesis focuses on the use of Deep Neural networks to classify images by means of Deep learning.
Implementing visual search algorithms and deep learning-based classification on embedded environments is not a mere code-porting activity. Recent embedded devices are equipped with a powerful but limited number of resources, like development boards such as GPGPUs. GPU architectures fit particularly well, because they allow to execute more operations in parallel, following the SIMD (Single Instruction Multiple Data) paradigm. Nonetheless, it is necessary to make good design choices for the best use of available hardware and memory.
For visual search, following the MPEG CDVS standard, the contribution of this thesis is an efficient feature computation phase, a parallel CDVS detector, completely implemented on embedded devices supporting the OpenCL framework. Algorithmic choices and implementation details to target the intrinsic characteristics of the selected embedded platforms are presented and discussed. Experimental results on several GPUs show that the GPU-based solution is up to 7× faster than the
CPU-based one. This speed-up opens new visual search scenarios exploiting entire real-time on-board computations with no data transfer.
As regards to the use of Deep convolutional neural networks for off-line image classification, their computational and memory requirements are huge, and this is an issue on embedded devices. Most of the complexity derives from the convolutional layers and in particular from the matrix multiplications they entail. The contribution of this thesis is a self-contained implementation to image classification providing common layers used in neural networks. The approach relies on a heterogeneous CPU-GPU scheme for performing convolutions in the transform domain. Experimental results show that the heterogeneous scheme described in this thesis boasts a 50× speedup over the CPU-only reference and outperforms a GPU-based reference by 2×, while slashing the power consumption by nearly 30%.
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Cerutti, Lisa. "Visual grounded analysis : developing and testing a method for preliminary visual research." Thesis, London Metropolitan University, 2017. http://repository.londonmet.ac.uk/1471/.
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Approaching a new design project by performing preliminary visual research is a common practice in educational and studio settings, particularly in Jewellery and Fashion Design. Collecting images around a given subject or theme - for better understanding its visual traits, or for future reference - could be seen as the counterpart, in visual terms, of a literature search. However, ‘visual research’ is an expression often used rather vaguely for indicating a spectrum of unstructured methodological approaches, whose procedures and underlying assumptions tend to remain unexplained, undisclosed or unquestioned in everyday studio practice. When creative practice becomes an integral part of academic research, though, there is an increased need for rigor and explicitness regarding every aspect about it, including all the work preliminary to it. This research aims to develop and test a systematic method for conducting and documenting visual research in the preliminary stages of the design process, contributing to new knowledge in the form of a new visual method, also applicable as a design tool. A reflection on the vagueness and implicitness of the Intuitive Approach (IA) to visual research adopted in the initial stage of this PhD motivated the search for an alternative method that could make transparent and rigorous the taken-for-granted, subjective assumptions behind the research initially conducted. The iterative and data-driven nature of the IA oriented the methodological quest towards established qualitative approaches in the Social Sciences, focusing on Emergent Methods and Grounded Theory. By translating and adapting some of their procedures to suit a visual context, a new method, Grounded Visual Analysis (GVA), has been developed and tested, revealing its suitability for achieving a higher degree of explicitness and systematicity in the process of data collection and analysis, and increasing the richness of the visual patterns elicited from the data, thus their potential for stimulating reflective practice. The development of GVA is offered as the major contribution to knowledge of this research, together with its application on a practical case as the demonstration of its double functioning, either as a reflective method for conducting visual research in the preparatory phase of the design process, and as a design tool for stimulating the generation of new ideas and design briefs.
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Economou, Dorothy. "Photos in the News: appraisal analysis of visual semiosis and verbal-visual intersemiosis." University of Sydney, 2009. http://hdl.handle.net/2123/5740.
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Doctor of Philosophy (PhD)<br>This thesis concerns the intersection of social semiotic theory and critical discourse analysis (CDA), applying systemic-functional (SF) theory to verbal-visual news media texts. The aim of the thesis is to develop social semiotic descriptions of visual meaning in order to facilitate analyses of evaluative stance in visual-verbal text. The texts studied are ‘factual’ daily broadsheet news photos and prominent visual-verbal ‘displays’ that incorporate these photos alongside headlines and captions. Such displays introduce investigative stories on the front page of broadsheet weekly news reviews and are referred to in the thesis as ‘standout’ texts. They are significant because they may also be read as independent texts and play a critical role in positioning a wide readership on the issues investigated in the story. The SF system of verbal appraisal was used in this thesis to develop a corresponding system of visual appraisal. The process involved applying general appraisal options to a corpus of news photos and proceeding to further delicacy in a repeated cycle of analysis and system-building. Once refined in this way the system was applied alongside the verbal appraisal system to account for evaluation in verbal-visual standouts. In the thesis four Australian and four Greek standouts introducing stories on asylum seekers were analysed in order to explore the potential for variation and the impact of context on evaluative meaning choices. The thesis contributes insights into SF theory, media discourse and CDA. The visual systems developed allow appraisal analysis to be extended to images and to verbalvisual texts. Visual appraisal analysis in the thesis provides new evidence for the ideological and evaluative power of news photos. Verbal-visual appraisal analysis shows how each semiotic contributes to evaluative meaning, and to its accumulation and spread across a text. In respect to media discourse, the thesis also provides evidence for the ‘standout’ as an orbital verbal-visual news genre. The comparison of evaluative stance in two sets of standouts demonstrates consistent editorial choices in texts within each context and contrasts across the two sites. The Australian texts display more evaluative complexity, greater emphasis on entertainment and offer two different stances, aligning a diverse target audience. The Greek texts are more straightforward and construct a single stance, aligning a narrower audience. By identifying the semiotic choices involved in the evaluative positioning of readers by visual-verbal texts, the thesis can contribute to more informed and reflective practice. Thus, as well as making theoretical advances, the findings have relevance for journalism and education at a time when the impact of images is changing our conception of literacy.
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Alameda-Pineda, Xavier. "Egocentric Audio-Visual Scene Analysis : a machine learning and signal processing approach." Thesis, Grenoble, 2013. http://www.theses.fr/2013GRENM024/document.
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Depuis les vingt dernières années, l'industrie a développé plusieurs produits commerciaux dotés de capacités auditives et visuelles. La grand majorité de ces produits est composée d'un caméscope et d'un microphone embarqué (téléphones portables, tablettes, etc). D'autres, comme la Kinect, sont équipés de capteurs de profondeur et/ou de petits réseaux de microphones. On trouve également des téléphones portables dotés d'un système de vision stéréo. En même temps, plusieurs systèmes orientés recherche sont apparus (par exemple, le robot humanoïde NAO). Du fait que ces systèmes sont compacts, leurs capteurs sont positionnés près les uns des autres. En conséquence, ils ne peuvent pas capturer la scène complète, mais qu'un point de vue très particulier de l'interaction sociale en cours. On appelle cela "Analyse Égocentrique de Scènes Audio-Visuelles''.Cette thèse contribue à cette thématique de plusieurs façons. D'abord, en fournissant une base de données publique qui cible des applications comme la reconnaissance d'actions et de gestes, localisation et suivi d'interlocuteurs, analyse du tour de parole, localisation de sources auditives, etc. Cette base a été utilisé en dedans et en dehors de cette thèse. Nous avons aussi travaillé le problème de la détection d'événements audio-visuels. Nous avons montré comme la confiance en une des modalités (issue de la vision en l'occurrence), peut être modélisée pour biaiser la méthode, en donnant lieu à un algorithme d'espérance-maximisation visuellement supervisé. Ensuite, nous avons modifié l'approche pour cibler la détection audio-visuelle d'interlocuteurs en utilisant le robot humanoïde NAO. En parallèle aux travaux en détection audio-visuelle d'interlocuteurs, nous avons développé une nouvelle approche pour la reconnaissance audio-visuelle de commandes. Nous avons évalué la qualité de plusieurs indices et classeurs, et confirmé que l'utilisation des données auditives et visuelles favorise la reconnaissance, en comparaison aux méthodes qui n'utilisent que l'audio ou que la vidéo. Plus tard, nous avons cherché la meilleure méthode pour des ensembles d'entraînement minuscules (5-10 observations par catégorie). Il s'agit d'un problème intéressant, car les systèmes réels ont besoin de s'adapter très rapidement et d'apprendre de nouvelles commandes. Ces systèmes doivent être opérationnels avec très peu d'échantillons pour l'usage publique. Pour finir, nous avons contribué au champ de la localisation de sources sonores, dans le cas particulier des réseaux coplanaires de microphones. C'est une problématique importante, car la géométrie du réseau est arbitraire et inconnue. En conséquence, cela ouvre la voie pour travailler avec des réseaux de microphones dynamiques, qui peuvent adapter leur géométrie pour mieux répondre à certaines tâches. De plus, la conception des produits commerciaux peut être contrainte de façon que les réseaux linéaires ou circulaires ne sont pas bien adaptés<br>Along the past two decades, the industry has developed several commercial products with audio-visual sensing capabilities. Most of them consists on a videocamera with an embedded microphone (mobile phones, tablets, etc). Other, such as Kinect, include depth sensors and/or small microphone arrays. Also, there are some mobile phones equipped with a stereo camera pair. At the same time, many research-oriented systems became available (e.g., humanoid robots such as NAO). Since all these systems are small in volume, their sensors are close to each other. Therefore, they are not able to capture de global scene, but one point of view of the ongoing social interplay. We refer to this as "Egocentric Audio-Visual Scene Analysis''.This thesis contributes to this field in several aspects. Firstly, by providing a publicly available data set targeting applications such as action/gesture recognition, speaker localization, tracking and diarisation, sound source localization, dialogue modelling, etc. This work has been used later on inside and outside the thesis. We also investigated the problem of AV event detection. We showed how the trust on one of the modalities (visual to be precise) can be modeled and used to bias the method, leading to a visually-supervised EM algorithm (ViSEM). Afterwards we modified the approach to target audio-visual speaker detection yielding to an on-line method working in the humanoid robot NAO. In parallel to the work on audio-visual speaker detection, we developed a new approach for audio-visual command recognition. We explored different features and classifiers and confirmed that the use of audio-visual data increases the performance when compared to auditory-only and to video-only classifiers. Later, we sought for the best method using tiny training sets (5-10 samples per class). This is interesting because real systems need to adapt and learn new commands from the user. Such systems need to be operational with a few examples for the general public usage. Finally, we contributed to the field of sound source localization, in the particular case of non-coplanar microphone arrays. This is interesting because the geometry of the microphone can be any. Consequently, this opens the door to dynamic microphone arrays that would adapt their geometry to fit some particular tasks. Also, because the design of commercial systems may be subject to certain constraints for which circular or linear arrays are not suited
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Colotti, Alessandro. "Stability and Regions of Attraction of Image-Based Visual Servoing Systems." Electronic Thesis or Diss., Ecole centrale de Nantes, 2023. http://www.theses.fr/2023ECDN0046.
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L’asservissement visuel est un domaine mature dont le formalisme est bien établi. L’un de ses principaux objectifs est lecontrôle d’un robot à l’aide des informations visuelles provenant d’une caméra, qui est généralement montée sur l’effecteur du robot. Même si l’asservissement visuel a conduit à de nombreuses applications réussies, son analyse de stabilité reste une question théorique ouverte, en particulier pour l’asservissement visuel basé image. Dans cette thèse, nous avons exploré en profondeur les propriétés de stabilité de ces systèmes, à la fois en développant de nouveaux outils théoriquesqui nous permettent d’étudier la stabilité des systèmes à énergie décroissante et en définissant une stratégie qui rend le calcul de l’ensemble complet des équilibres résolvable dans le contexte de l’asservissement visuel. Grâce à notre nouvelle méthodologie, qui s’inspire des théories de Lyapunov et de Morse, nous avons pu caractériser rigoureusement l’interconnexion entre les équilibres de ces systèmes et proposer les régions d’attraction indépendante des contrôleurs des équilibres stables, ce qui a permis d’éclairer d’un jour nouveau le comportement de ces systèmes. De plus, les outils que nous avons développés nous ont permis de synthétiser un nouveau paradigme de contrôle, que nous appelons meta-contrôleur, qui fournit une amélioration substantielle de la taille de la région, d’attraction de la pose souhaitée, mettant enévidence l’importance de la compréhension de la stabilité de ces systèmes, et l’importance des points selles pour son analyse<br>Visual servoing is a mature area whose formalism is well established. One of its main aims is the control of a robot using the visual information coming from a camera, which is typically mounted as the end effector of the robot. Even if visual servoing has lead to many successful applications, its stability analysis is still an open theoretical issue, in particular for image-based visual servoing. In this thesis, we deeply explored the stability properties of these systems, both by developing new theoreticaltools that allow us to study the stability of energy-decreasing systems and by creating a strategy that makes the computation of the full set of equilibria tractable in the context of visual servoing. Thanks to our new methodology, which is inspired by Lyapunov and Morse theories, we were able to rigorously characterize the interconnection between the equilibria of these systems and to propose the controller-independent regions of attraction of the stable ones, shining a new light on the behaviorof these systems. Moreover, the tools that we developed allowed us to synthesize a new control paradigm, that we call metacontroller, which provides a substantial improvement in size for the desired pose’s region of attraction, showcasing the importance of understanding the stability of these systems and the importance of saddles in their analysis
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Vohra, Neeru Rani. "Three dimensional statistical graphs, visual cues and clustering." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ56213.pdf.
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Yang, Di. "Analysis guided visual exploration of multivariate data." Worcester, Mass. : Worcester Polytechnic Institute, 2007. http://www.wpi.edu/Pubs/ETD/Available/etd-050407-005925/.
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Brusque, Corinne. "Métrique du bruit visuel en site urbain nocturne pour l'optimisation des signaux routiers." Saint-Etienne, 1994. http://www.theses.fr/1994STET4006.
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Les scènes urbaines, en raison de la richesse de leur contenu, présentent l'inconvénient de générer un flux d'informations visuelles qui sollicite en permanence le système visuel de l'automobiliste. On identifie, sous la terminologie de bruit visuel, la nuisance générée par un tel environnement pour détecter les signaux routiers. L'objectif de la thèse est la définition d'une métrique, automatique et objective, du bruit visuel des scènes urbaines nocturnes. On a fait l'hypothèse qu'il était possible d'estimer l'intensité du bruit visuel généré, par un environnement urbain nocturne, à l'aide d'un paramètre physique quantifiant sa complexité visuelle. On a recherché, parmi les techniques de traitements d'images, celles qui permettaient au mieux d'estimer la complexité visuelle d'un environnement urbain. Les méthodes suivantes de traitement d'images ont été étudiées : l'analyse de l'histogramme des luminances, des techniques d'analyse de texture et l'analyse par ondelettes. On a, également, proposé une méthode, inspirée du calcul de la luminance de voile, pour décrire la répartition radiale de zones à forte luminance autour du signal. Une méthodologie statistique associant l'analyse factorielle et l'analyse typologique, a été retenue pour comparer le pouvoir de discrimination de la complexité visuelle, offert par chacune de ces méthodes. La métrique du bruit visuel proposée regroupe l'ensemble de ces outils. On a ensuite validé l'hypothèse initiale en comparant l'évaluation subjective, par des observateurs, du niveau du bruit visuel généré par un environnement et l'évaluation objective et automatique proposée
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Pister, Alexis. "Visual Analytics for Historical Social Networks : Traceability, Exploration, and Analysis." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG081.
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Cette thèse vise à identifier théoriquement et concrètement comment l'analyse visuelle peut aider les historiens dans leur processus d'analyse de réseaux sociaux. L'analyse de réseaux sociaux est une méthode utilisée en histoire sociale qui vise à étudier les relations sociales au sein de groupes d'acteurs (familles, institutions, entreprises, etc.) en reconstruisant les relations du passé à partir de documents historiques, tels que des actes de mariages, des actes de naissances, ou des recensements. L'utilisation de méthodes visuelles et analytiques leurs permet d'explorer la structure sociale formant ces groupes et de relier des mesures structurelles à des hypothèses sociologiques et des comportements individuels. Cependant, l'inspection, l'encodage et la modélisation des sources menant à un réseau finalisé donnent souvent lieu à des erreurs, des distorsions et des problèmes de traçabilité, et les systèmes de visualisation actuels présentent souvent des défauts d'utilisabilité et d'interprétabilité. En conséquence, les historiens ne sont pas toujours en mesure de faire des conclusions approfondies à partir de ces systèmes : beaucoup d'études se limitent à une description qualitative d'images de réseaux, surlignant la présence de motifs d'intérêts (cliques, îlots, ponts, etc.). Le but de cette thèse est donc de proposer des outils d'analyse visuelle adaptés aux historiens afin de leur permettre une meilleur intégration de leur processus global et des capacités d'analyse guidées. En collaboration avec des historiens, je formalise le processus d'une analyse de réseau historique, de l'acquisition des sources jusqu'à l'analyse finale, en posant comme critère que les outils utilisés dans ce processus devraient satisfaire des principes de traçabilité, de simplicité et de réalité documentaire (i.e., que les données présentées doivent être conformes aux sources) pour faciliter les va-et-vient entre les différentes étapes et la prise en main par l'utilisateur et ne pas distordre le contenu des sources. Pour satisfaire ces propriétés, je propose de modéliser les sources historiques en réseaux sociaux bipartis multivariés dynamiques avec rôles. Ce modèle intègre explicitement les documents historiques sous forme de nœuds, ce qui permet aux utilisateurs d'encoder, de corriger et d'analyser leurs données avec les mêmes outils. Je propose ensuite deux interfaces d'analyse visuelle permettant, avec une bonne utilisabilité et interprétabilité, de manipuler, d'explorer et d'analyser ce modèle de données. Le premier système ComBiNet offre une exploration visuelle de l'ensemble des dimensions du réseau à l'aide de vues coordonnées et d'un système de requêtes visuelles permettant d'isoler des individus ou des groupes et de comparer leurs structures topologiques et leurs propriétés. L'outil permet également de détecter les motifs inhabituels et ainsi de déceler les éventuelles erreurs dans les annotations. Le second système, PK-Clustering, est une proposition d'amélioration de l'utilisabilité et de l'efficacité des mécanismes de clustering dans les systèmes de visualisation de réseaux sociaux. L'interface permet de créer des regroupements pertinents à partir des connaissances a priori de l'utilisateur, du consensus algorithmique et de l'exploration du réseau dans un cadre d'initiative mixte. Les deux systèmes ont été conçus à partir des besoins et retours continus d'historiens, et visent à augmenter la traçabilité, la simplicité, et la réalité documentaire des sources dans le processus d'analyse de réseaux historiques. Je conclus sur la nécessité d'une meilleure intégration des systèmes d'analyse visuelle dans le processus de recherche des historiens. Cette intégration nécessite des outils plaçant les utilisateurs au centre du processus avec un accent sur la flexibilité et l'utilisabilité, limitant ainsi l'introduction de biais et les barrières d'utilisation des méthodes quantitatives, qui subsistent en histoire<br>This thesis aims at identifying theoretically and concretely how visual analytics can support historians in their social network analysis process. Historical social network analysis is a method to study social relationships between groups of actors (families, institutions, companies, etc.) through a reconstruction of relationships of the past from historical documents, such as marriage acts, migration forms, birth certificates, and censuses. The use of visualization and analytical methods lets social historians explore and describe the social structure shaping those groups while explaining sociological phenomena and individual behaviors through computed network measures. However, the inspection and encoding of the sources leading to a finalized network is intricate and often results in inconsistencies, errors, distortions, and traceability problems, and current visualization tools typically have usability and interpretability issues. For these reasons, social historians are not always able to make thorough historical conclusions: many studies consist of qualitative descriptions of network drawings highlighting the presence of motifs such as cliques, components, bridges, etc. The goal of this thesis is therefore to propose visual analytics tools integrated into the global social historians' workflow, with guided and easy-to-use analysis capabilities. From collaborations with historians, I formalize the workflow of historical network analysis starting at the acquisition of sources to the final visual analysis. By highlighting recurring pitfalls, I point out that tools supporting this process should satisfy traceability, simplicity, and document reality principles to ease bask and forth between the different steps, provide tools easy to manipulate, and not distort the content of sources with modifications and simplifications. To satisfy those properties, I propose to model historical sources into bipartite multivariate dynamic social networks with roles as they provide a good tradeoff of simplicity and expressiveness while modeling explicitly the documents, hence letting users encode, correct, and analyze their data with the same abstraction and tools. I then propose two interactive visual interfaces to manipulate, explore, and analyze this data model, with a focus on usability and interpretability. The first system ComBiNet allows an interactive exploration leveraging the structure, time, localization, and attributes of the data model with the help of coordinated views and a visual query system allowing users to isolate interesting groups and individuals, and compare their position, structures, and properties. It also lets them highlight erroneous and inconsistent annotations directly in the interface. The second system, PK-Clustering, is a concrete proposition to enhance the usability and effectiveness of clustering mechanisms in social network visual analytics systems. It consists in a mixed-initiative clustering interface that let social scientists create meaningful clusters with the help of their prior knowledge, algorithmic consensus, and interactive exploration of the network. Both systems have been designed with continuous feedback from social historians, and aim to increase the traceability, simplicity, and document reality of visual analytics supported historical social network research. I conclude with discussions on the potential merging of both tools, and more globally on research directions towards better integration of visual analytics systems on the whole workflow of social historians. Systems with a focus on those properties---traceability, simplicity, and document reality---can limit the introduction of bias while lowering the requirements for the use of quantitative methods for historians and social scientists which has always been a controversial discussion among practitioners
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Zhou, Hong. "Visual clustering in parallel coordinates and graphs /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?CSED%202009%20ZHOU.
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Contreras, R. Sandra V. "Strategic aesthetics in advertising campaigns : implications for art direction education." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/53222/1/Sandra_Romero_Thesis.pdf.
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For over half a century art directors within the advertising industry have been adapting to the changes occurring in media, culture and the corporate sector, toward enhancing professional performance and competitiveness. These professionals seldom offer explicit justification about the role images play in effective communication. It is uncertain how this situation affects advertising performance, because advertising has, nevertheless, evolved in parallel to this as an industry able to fabricate new opportunities for itself. However, uncertainties in the formalization of art direction knowledge restrict the possibilities of knowledge transfer in higher education.
The theoretical knowledge supporting advertising art direction has been adapted spontaneously from disciplines that rarely focus on specific aspects related to the production of advertising content, like, for example: marketing communication, design, visual communication, or visual art. Meanwhile, in scholarly research, vast empirical knowledge has been generated about advertising images, but often with limited insight into production expertise. Because art direction is understood as an industry practice and not as an academic discipline, an art direction perspective in scholarly contributions is rare. Scholarly research that is relevant to art direction seldom offers viewpoints to help understand how it is that research outputs may specifically contribute to art direction practices. This thesis is dedicated to formally understanding the knowledge underlying art direction and using it to explore models for visual analysis and knowledge transfer in higher education.
The first three chapters of this thesis offer, firstly, a review of practical and contextual aspects that help define art direction, as a profession and as a component in higher education; secondly, a discussion about visual knowledge; and thirdly, a literature review of theoretical and analytic aspects relevant to art direction knowledge. Drawing on these three chapters, this thesis establishes explicit structures to help in the development of an art direction curriculum in higher education programs. Following these chapters, this thesis explores a theoretical combination of the terms ‘aesthetics’ and ‘strategy’ as foundational notions for the study of art direction. The theoretical exploration of the term ‘strategic aesthetics’ unveils the potential for furthering knowledge in visual commercial practices in general.
The empirical part of this research explores ways in which strategic aesthetics notions can extend to methodologies of visual analysis. Using a combination of content analysis and of structures of interpretive analysis offered in visual anthropology, this research discusses issues of methodological appropriation as it shifts aspects of conventional methodologies to take into consideration paradigms of research that are producer-centred. Sampled out of 2759 still ads from the online databases of Cannes Lions Festival, this study uses an instrumental case study of love-related advertising to facilitate the analysis of content. This part of the research helps understand the limitations and functionality of the theoretical and methodological framework explored in the thesis.
In light of the findings and discussions produced throughout the thesis, this project aims to provide directions for higher education in relation to art direction and highlights potential pathways for further investigation of strategic aesthetics.
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Ranise, Cécile. "Musées, accessibilité et handicap : l’accessibilité des musées nationaux de Budapest (Hongrie) et l’accueil des visiteurs en situation de handicap (tous handicaps) : Etudes de cas de trois musées emblématiques : états des lieux, analyses de l’existant, conception et réalisation de projets de mise en accessibilité." Thesis, Aix-Marseille, 2012. http://www.theses.fr/2012AIXM3086.
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L'accessibilité des musées hongrois aux personnes en situation de handicap, entendue au sens large, c'est-à-dire l'accessibilité du cadre bâti, l'accès à l'information, à la communication, l'accès à l'offre culturelle et aux pratiques artistiques, constitue aujourd'hui non seulement une obligation légale mais surtout une opportunité d'élargissement des publics. Grâce à une politique volontariste d'accueil des publics en situation de handicap dans les musées et à une adaptation spécifique du cadre bâti, des supports d'informations et de communication, des prestations et animations culturelles ou encore des outils et supports pédagogiques grâce aux innovations technologiques en perpétuelle innovation, il est possible de prendre en compte tous les types de visiteurs en situation de handicap dans les musées et de leur faire bénéficier de services et d'offres adaptés à leurs attentes et à leurs besoins. Pour autant, dans la pratique, la réalité sur le terrain hongrois n'est pas toujours si évidente, les rapports entre les personnes en situation de handicap et les musées hongrois étant un fait relativement récent. Pour aborder ce sujet, trois musées nationaux de Budapest ont été choisis par rapport à leurs critères particuliers en tant qu'études de cas afin d'analyser la situation de l'accessibilité et de mettre en place dans ces musées des projets de mise en accessibilité pour l'accueil des publics en situation de handicap. Les conclusions issues de la mise en place de ces divers projets développés dans ces trois musées permettent de dresser des recommandations, des préconisations et des pistes d'actions destinées plus particulièrement aux professionnels des musées<br>The accessibility of the Hungarian museums for people with disabilities - i.e. in a broader sense accessibility of the building, access to information and communication and access to cultural and artistic practices - represents today not only a legal obligation but actually a substantial contribution to the enlargement of the public. Thanks to the voluntarist politics in the museums regarding services of handicapped people, thanks to the special adjustment of the buildings, to the information and communication appliences, to the cultural services and even to the pedagogical means and methods in a constant technological development and innovation, it is possible to take into consideration all types of visitors with disabilities and to provide them with services adjusted to their expectations and needs. Nevertheless in practice this is not always so obvious in Hungary, the dialogue between handicapped people and the Hungarian museums started just recently. In order to investigate this subject matter, three national museums have been selected in Budapest to be examined in a case study. The aim was to see and analyse their conditions of accessibility and implement the projects related to accesibility and to the actions how to welcome a public with disabilities. The conclusions drawn from the different projects developped in these three museums make it possible to set up recommendations and suggestions and to propose action plans particularly to the professionals working in the museums
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Parameswaran, Vasudev. "View-invariance in visual human motion analysis." College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/1408.
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Thesis (Ph. D.) -- University of Maryland, College Park, 2004.<br>Thesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Liu, Zhicheng. "Network-based visual analysis of tabular data." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43687.
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Tabular data is pervasive in the form of spreadsheets and relational databases. Although tables often describe multivariate data without explicit network semantics, it may be advantageous to explore the data modeled as a graph or network for analysis. Even when a given table design conveys some static network semantics, analysts may want to look at multiple networks from different perspectives, at different levels of abstraction, and with different edge semantics.
This dissertation is motivated by the observation that a general approach for performing multi-dimensional and multi-level network-based visual analysis on multivariate tabular data is necessary. We present a formal framework based on the relational data model that systematically specifies the construction and transformation
of graphs from relational data tables. In the framework, a set of relational operators provide the basis for rich expressive power for network modeling.
Powered by this relational algebraic framework, we design and implement a visual analytics system called Ploceus. Ploceus supports flexible construction and transformation of networks through a direct manipulation interface, and integrates dynamic network manipulation with visual exploration for a seamless analytic experience.