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Relevant bibliographies by topics / Visual saliency / Dissertations / Theses

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Dissertations / Theses on the topic 'Visual saliency'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Figueroa, Flores Carola. "Visual Saliency for Object Recognition, and Object Recognition for Visual Saliency." Doctoral thesis, Universitat Autònoma de Barcelona, 2021. http://hdl.handle.net/10803/671964.

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Per als humans, el reconeixement d’objectes és un procés gairebé instantani, precís i extremadament adaptable. A més, tenim la capacitat innata d’aprendre classes d’objectes nous a partir d’uns pocs exemples. El cervell humà redueix la complexitat de les dades entrants filtrant part de la informació i processant només aquelles coses que ens capturen l’atenció. Això, barrejat amb la nostra predisposició biològica per respondre a determinades formes o colors, ens permet reconèixer en un simple cop d’ull les regions més importants o destacades d’una imatge. Aquest mecanisme es pot observar analit

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2

Suau, Pérez Pablo. "Information-theoretic visual saliency detection." Doctoral thesis, Universidad de Alicante, 2010. http://hdl.handle.net/10045/19624.

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3

Chilukamari, Jayachandra. "A computational model of visual attention." Thesis, Robert Gordon University, 2017. http://hdl.handle.net/10059/2443.

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Visual attention is a process by which the Human Visual System (HVS) selects most important information from a scene. Visual attention models are computational or mathematical models developed to predict this information. The performance of the state-of-the-art visual attention models is limited in terms of prediction accuracy and computational complexity. In spite of significant amount of active research in this area, modelling visual attention is still an open research challenge. This thesis proposes a novel computational model of visual attention that achieves higher prediction accuracy wit

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4

Zhang, Wei. "Visual saliency in image quality assessment." Thesis, Cardiff University, 2017. http://orca.cf.ac.uk/100239/.

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Advances in image quality assessment have shown the benefits of modelling functional components of the human visual system in image quality metrics. Visual saliency, a crucial aspect of the human visual system, is increasingly investigated recently. Current applications of visual saliency in image quality metrics are limited by our knowledge on the relation between visual saliency and quality perception. Issues regarding how to simulate and integrate visual saliency in image quality metrics remain. This thesis presents psychophysical experiments and computational models relevant to the percept

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5

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'u

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6

Ammar, Marwa. "Visual saliency extraction from compressed streams." Thesis, Evry, Institut national des télécommunications, 2017. http://www.theses.fr/2017TELE0012/document.

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Les fondements théoriques pour la saillance visuelle ont été dressés, il y a 35 ans, par Treisman qui a proposé "feature-integration theory" pour le système visuel humain: dans n’importe quel contenu visuel, certaines régions sont saillantes en raison de la différence entre leurs caractéristiques (intensité, couleur, texture, et mouvement) et leur voisinage. Notre thèse offre un cadre méthodologique et expérimental compréhensif pour extraire les régions saillantes directement des flux compressés (MPEG-4 AVC et HEVC), tout en minimisant les opérations de décodage. L’extraction de la saillance v

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Ammar, Marwa. "Visual saliency extraction from compressed streams." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2017. http://www.theses.fr/2017TELE0012.

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Les fondements théoriques pour la saillance visuelle ont été dressés, il y a 35 ans, par Treisman qui a proposé "feature-integration theory" pour le système visuel humain: dans n’importe quel contenu visuel, certaines régions sont saillantes en raison de la différence entre leurs caractéristiques (intensité, couleur, texture, et mouvement) et leur voisinage. Notre thèse offre un cadre méthodologique et expérimental compréhensif pour extraire les régions saillantes directement des flux compressés (MPEG-4 AVC et HEVC), tout en minimisant les opérations de décodage. L’extraction de la saillance v

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8

Rezazadegan, Tavakoli H. (Hamed). "Visual saliency and eye movement:modeling and applications." Doctoral thesis, Oulun yliopisto, 2014. http://urn.fi/urn:isbn:9789526205816.

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Abstract Humans are capable of narrowing their focus on the highlights of visual information in a fraction of time in order to handle enormous mass of data. Akin to human, computers should deal with a tremendous amount of visual information. To replicate such a focusing mechanism, computer vision relies on techniques that filter out redundant information. Consequently, saliency has recently been a popular subject of discussion in the computer vision community, though it is an old subject matter in the disciplines of cognitive sciences rather than computer science. The reputation of saliency te

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9

Hung, Hayley Shi Wen. "From visual saliency to video behaviour understanding." Thesis, Queen Mary, University of London, 2007. http://qmro.qmul.ac.uk/xmlui/handle/123456789/15027.

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In a world of ever increasing amounts of video data, we are forced to abandon traditional methods of scene interpretation by fully manual means. Under such circumstances, some form of automation is highly desirable but this can be a very open ended issue with high complexity. Dealing with such large amounts of data is a non-trivial task that requires efficient selective extraction of parts of a scene which have the potential to develop a higher semantic meaning, alone, or in combination with others. In particular, the types of video data that are in need of automated analysis tend to be outdoo

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10

Yuan, Yuchen. "Advanced Visual Computing for Image Saliency Detection." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/17039.

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Saliency detection is a category of computer vision algorithms that aims to filter out the most salient object in a given image. Existing saliency detection methods can generally be categorized as bottom-up methods and top-down methods, and the prevalent deep neural network (DNN) has begun to show its applications in saliency detection in recent years. However, the challenges in existing methods, such as problematic pre-assumption, inefficient feature integration and absence of high-level feature learning, prevent them from superior performances. In this thesis, to address the limitations abov

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11

Peng, Qinmu. "Visual attention: saliency detection and gaze estimation." HKBU Institutional Repository, 2015. https://repository.hkbu.edu.hk/etd_oa/207.

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Visual attention is an important characteristic in the human vision system, which is capable of allocating the cognitive resources to the selected information. Many researchers are attracted to the study of this mechanism in the human vision system and have achieved a wide range of successful applications. Generally, there are two tasks encountered in the visual attention research including visual saliency detection and gaze estimation. The former is normally described as distinctiveness or prominence as a result of a visual stimulus. Given images or videos as input, saliency detection methods

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12

Berga, Garreta David. "Understanding eye movements: psychophysics and a model of primary visual cortex." Doctoral thesis, Universitat Autònoma de Barcelona, 2019. http://hdl.handle.net/10803/667901.

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En aquesta tesi intentaré explicar (1) com movem els ulls, (2) com fer màquines que entenguin la informació visual i executar moviments oculars, i (3) com fer que aquestes màquines entenguin tasques per tal de decidir per aquets moviments oculars. (1) Hem analitzat del comportament dels moviments oculars provocat per les diferències de característiques de baix nivell amb una base de dades d’imatges composada per 230 patrons generats sintèticament. S’han generat un total de 15 tipus d’estímuls (p.e. orientació, brillantor, color, tamany, etc.), amb 7 contrastos per cada categoría de carac

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13

Neupane, Aashish. "Visual Saliency Analysis on Fashion Images Using Image Processing and Deep Learning Approaches." OpenSIUC, 2020. https://opensiuc.lib.siu.edu/theses/2784.

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ABSTRACTAASHISH NEUPANE, for the Master of Science degree in BIOMEDICAL ENGINEERING, presented on July 35, 2020, at Southern Illinois University Carbondale. TITLE: VISUAL SALIENCY ANALYSIS ON FASHION IMAGES USING IMAGE PROCESSING AND DEEP LEARNING APPROACHES.MAJOR PROFESSOR: Dr. Jun QinState-of-art computer vision technologies have been applied in fashion in multiple ways, and saliency modeling is one of those applications. In computer vision, a saliency map is a 2D topological map which indicates the probabilistic distribution of visual attention priorities. This study is focusing on analysis

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14

De, Franceschi Gioia. "Behavioural and neuronal correlates of visual saliency in mouse." Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10046073/.

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While early parts of the brain’s sensory pathways convey signals about the entire environment, animal behaviour is usually devoted to one or just a few potential objects of interest at any given time. Objects that are more salient (more distinct) are usually prioritised, particularly if they are potential threats, but how and where salience is represented in the brain is not known. Here I examine how salience may be constructed in the visual pathways of mice. To highlight the importance of vision in mice I first show that vision can guide the selection of distinct defence behaviours in respons

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Muratov, Oleg. "Visual Saliency Detection and its Application to Image Retrieval." Doctoral thesis, Università degli studi di Trento, 2013. https://hdl.handle.net/11572/367674.

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People perceive any kind of information with different level of attention and involvement. It is due to the way how our brain functions, redundancy and importance of the perceived data. This work deals with visual information, in particular with images. Image analysis and processing is often requires running computationally expensive algorithms. The knowledge of which part of an image is important over other parts allows for reduction of data to be processed. Besides computational cost a broad variety of applications, including image compression, quality assessment, adaptive content display a

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Muratov, Oleg. "Visual Saliency Detection and its Application to Image Retrieval." Doctoral thesis, University of Trento, 2013. http://eprints-phd.biblio.unitn.it/892/1/Muratov_Thesis.pdf.

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People perceive any kind of information with different level of attention and involvement. It is due to the way how our brain functions, redundancy and importance of the perceived data. This work deals with visual information, in particular with images. Image analysis and processing is often requires running computationally expensive algorithms. The knowledge of which part of an image is important over other parts allows for reduction of data to be processed. Besides computational cost a broad variety of applications, including image compression, quality assessment, adaptive content display

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17

Craye, Céline. "Intrinsic motivation mecanisms for incremental learning of visual saliency." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLY006/document.

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La conception de systèmes de perception autonomes, tels que des robots capables d’accomplir un ensemble de tâches de manière sûre et sans assistance humaine, est l’un des grands déﬁs de notre siècle. Pour ce faire, la robotique développementale propose de concevoir des robots qui, comme des enfants, auraient la faculté d’apprendre directement par interaction avec leur environnement. Nous avons dans cette thèse exploré de telles possibilités en se limitant à l’apprentissage de la localisation des objets d’intérêt (ou objets saillants) dans l’environnement du robot.Pour ce faire, nous présentons

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Craye, Céline. "Intrinsic motivation mecanisms for incremental learning of visual saliency." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLY006.

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La conception de systèmes de perception autonomes, tels que des robots capables d’accomplir un ensemble de tâches de manière sûre et sans assistance humaine, est l’un des grands déﬁs de notre siècle. Pour ce faire, la robotique développementale propose de concevoir des robots qui, comme des enfants, auraient la faculté d’apprendre directement par interaction avec leur environnement. Nous avons dans cette thèse exploré de telles possibilités en se limitant à l’apprentissage de la localisation des objets d’intérêt (ou objets saillants) dans l’environnement du robot.Pour ce faire, nous présentons

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19

Bogler, Carsten. "Saliency processing in the human brain." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2014. http://dx.doi.org/10.18452/17025.

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Aufmerksamkeit auf visuelle Reize kann durch top-down Such- Strategien oder durch bottom-up Eigenschaften des visuellen Reizes gesteuert werden. Die Eigenschaft einer bestimmten Position, aus einer visuellen Szene heraus zu stechen, wird als Salienz bezeichnet. Es wird angenommen, dass auf neuronaler Ebene eine Salienzkarte existiert. Bis heute ist strittig, wo die Repräsentation einer solchen Karte im Gehirn lokalisiert sein könnte. Im Rahmen dieser Dissertation wurden drei Experimente durchgeführt, die verschiedene Aspekte von bottom-up Salienz-Verarbeitung mit Hilfe der funktionellen Magne

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20

Dunbar, Logan. "Using the Earth Mover's Distance for perceptually meaningful visual saliency." Master's thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/24293.

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Visual saliency is one of the mechanisms that guide our visual attention, or where we look. This topic has seen a lot of research in recent years, starting with biologicallyinspired models, followed by the information-theoretic and recently statistical-based models. This dissertation looks at a state-of-the-art statistical model and studies what effects the histogram construction method and histogram distance measures have on detecting saliency. Equi-width histograms, which have constant bin size, equi-depth histograms, which have constant density per bin, and diagonal histograms, whose bin wi

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21

Mahdi, Ali Majeed. "VISUAL SALIENCY ANALYSIS, PREDICTION, AND VISUALIZATION: A DEEP LEARNING PERSPECTIVE." OpenSIUC, 2019. https://opensiuc.lib.siu.edu/dissertations/1715.

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In the recent years, a huge success has been accomplished in prediction of human eye fixations. Several studies employed deep learning to achieve high accuracy of prediction of human eye fixations. These studies rely on pre-trained deep learning for object classification. They exploit deep learning either as a transfer-learning problem, or the weights of the pre-trained network as the initialization to learn a saliency model. The utilization of such pre-trained neural networks is due to the relatively small datasets of human fixations available to train a deep learning model. Another relativel

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Talebzadeh, Shahrbabaki Shahrbanoo. "Contribution of colour in guiding visual attention and in a computational model of visual saliency." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAT093/document.

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Les études menées dans cette thèse portent sur le rôle de la couleur dans l'attention visuelle. Nous avons tenté de comprendre l'influence de l'information couleur dans les vidéos sur les mouvements oculaire, afin d'intégrer les attributs couleur dans un modèle de saillance visuelle. Pour cela, nous avons analysé différentes caractéristiques des mouvements oculaires d'observateurs regardant librement des vidéos en deux conditions: couleur et niveaux de gris. Nous avons également comparé les régions principales de regard sur des vidéos en couleur avec celles en niveaux de gris. Il est apparu qu

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23

Tadmeri, Narayan Vikram [Verfasser]. "Random center- surround approaches for modeling visual saliency / Vikram Tadmeri Narayan." Bielefeld : Universitaetsbibliothek Bielefeld, 2013. http://d-nb.info/1036111547/34.

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Engelke, Ulrich. "Modelling Perceptual Quality and Visual Saliency for Image and Video Communications." Doctoral thesis, Karlskrona : Blekinge Institute of Technology, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00470.

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The evolution of advanced radio transmission technologies for third and future generation mobile radio systems has paved the way for the delivery of mobile multimedia services. This is further enabled through contemporary video coding standards, such as H.264/AVC, allowing wireless image and video applications to become a reality on modern mobile devices. The extensive amount of data needed to represent the visual content and the scarce channel bandwidth constitute great challenges for network operators to deliver an intended quality of service. Appropriate metrics are thus instrumental for se

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Singh, Anurag. "Multi-Resolution Superpixels for Visual Saliency Detection in a Large Image Collection." Thesis, University of Louisiana at Lafayette, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3718565.

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<p> Finding what attracts attention is an important task for visual processing. The visual saliency detection finds location of focus of visual attention on the most important or stand-out object in an image or a video sequence. These stand-out objects are composed of regions or superpixels. Moreover, the fixations occur in clusters, which are simulated using superpixels, where superpixels are clusters of pixels bound by the Gestalt principle for perceptual grouping. The visual saliency detection algorithms presented in the dissertation build on the premise that salient regions are high in c

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Le, Huu Ton. "Improving image representation using image saliency and information gain." Thesis, Poitiers, 2015. http://www.theses.fr/2015POIT2287/document.

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De nos jours, avec le développement des nouvelles technologies multimédia, la recherche d’images basée sur le contenu visuel est un sujet de recherche en plein essor avec de nombreux domaines d'application: indexation et recherche d’images, la graphologie, la détection et le suivi d’objets... Un des modèles les plus utilisés dans ce domaine est le sac de mots visuels qui tire son inspiration de la recherche d’information dans des documents textuels. Dans ce modèle, les images sont représentées par des histogrammes de mots visuels à partir d'un dictionnaire visuel de référence. La signature d’u

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Murray, Naila. "Predicting Saliency and Aesthetics in Images: A Bottom-up Perspective." Doctoral thesis, Universitat Autònoma de Barcelona, 2012. http://hdl.handle.net/10803/117456.

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Esta tesis investiga dos aspectos diferentes sobre cómo un observador percibe una imagen natural: (i) dónde miramos o, concretamente, qué nos atrae la atención, y (ii) qué nos gusta, e.g., si una imagen es estéticamente agradable, o no. Estas dos experiencias son objeto de crecientes esfuerzos de la investigación en visión por computador. Tanto la atención visual como la estética visual pueden ser modeladas como consecuencia de múltiples mecanismos en interacción, algunos bottom-up o involuntarios, y otros top-down o guiados por tareas. En este trabajo nos concentramos en una perspectiva bott

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Zhang, Lingyun. "A Baysian [sic] framework for saliency and a probabilistic model for visual search." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2007. http://wwwlib.umi.com/cr/ucsd/fullcit?p3283909.

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Thesis (Ph. D.)--University of California, San Diego, 2007.<br>Title from first page of PDF file (viewed December 3, 2007). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 84-91).

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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

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Wang, Junle. "From 2D to stereoscopic-3D visual saliency : revisiting psychophysical methods and computational modeling." Nantes, 2012. http://www.theses.fr/2012NANT2072.

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L’attention visuelle est l’un des mécanismes les plus importants mis en oeuvre par le système visuel humain (SVH) afin de réduire la quantité d’information que le cerveau a besoin de traiter pour appréhender le contenu d’une scène. Un nombre croissant de travaux est consacré à l’étude de l’attention visuelle, et en particulier à sa modélisation computationnelle. Dans cette thèse, nous présentons des études portant sur plusieurs aspects de cette recherche. Nos travaux peuvent être classés globalement en deux parties. La première concerne les questions liées à la vérité de terrain utilisée, la s

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31

Tavakoli, Fatemeh. "On Visual Attention in Natural Images." Thesis, Linnéuniversitetet, Institutionen för fysik och elektroteknik (IFE), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-48256.

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By visual attention process biological and machine vision systems are able to select the most relevant regions from a scene. The relevancy process is achieved either by top-down factors, driven by task, or bottom-up factors, the visual saliency, which distinguish a scene region that are different from its surrounding. During the past 20 years numerous research efforts have aimed to model bottom-up visual saliency with many successful applications in computer vision and robotics.In this thesis we have performed a comparison between a state-of-the-art saliency model and subjective test (human ey

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Zhang, Shijie. "Exploring visual saliency mechanisms for motion detection and object tracking with application to surveillance." Thesis, University College London (University of London), 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.499043.

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Davoudian, Navaz. "The impact of background lighting complexity on the visual saliency of urban objects at night." Thesis, University of Sheffield, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.522427.

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Rahman, Anis Ur. "Face perception in videos : contributions to a visual saliency model and its implementation on GPUs." Thesis, Grenoble, 2013. http://www.theses.fr/2013GRENT102/document.

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Les études menées dans cette thèse portent sur le rôle des visages dans l'attention visuelle. Nous avons cherché à mieux comprendre l'influence des visages dans les vidéos sur les mouvements oculaires, afin de proposer un modèle de saillance visuelle pour la prédiction de la direction du regard. Pour cela, nous avons analysé l'effet des visages sur les fixations oculaires d'observateurs regardant librement (sans consigne ni tâche particulière) des vidéos. Nous avons étudié l'impact du nombre de visages, de leur emplacement et de leur taille. Il est apparu clairement que les visages dans une sc

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Gao, Dashan. "A discriminant hypothesis for visual saliency computational principles, biological plausibility and applications in computer vision /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2008. http://wwwlib.umi.com/cr/ucsd/fullcit?p3320150.

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Thesis (Ph. D.)--University of California, San Diego, 2008.<br>Title from first page of PDF file (viewed September 22, 2008). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 145-162).

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Rasolzadeh, Babak. "Visual Attention in Active Vision Systems : Attending, Classifying and Manipulating Objects." Doctoral thesis, KTH, Datorseende och robotik, CVAP, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-53484.

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This thesis has presented a computational model for the combination of bottom-up and top-down attentional mechanisms. Furthermore, the use for this model has been demonstrated in a variety of applications of machine and robotic vision. We have observed that an attentional mechanism is imperative in any active vision system, machine as well as biological, since it not only reduces the amount of information that needs to be further processed (for say recognition, action), but also by only processing the attended image regions, such tasks become more robust to large amounts of clutter and noise i

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Ngo, Anh Cat Le. "Digital system for bio-inspired visual attention processing fast and efficient information theoretic modelling of saliency." Thesis, University of Nottingham, 2015. http://eprints.nottingham.ac.uk/30984/.

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Visual attention is a biological mechanism of human vision systems to cope with rich and fast-changing visual information in surrounding environments. Visual saliency is a strategy, which recommends attentive spots to be visited in descending orders of interest or information amounts. This thesis aims to utilize information theory in computational saliency models, assumed that more attention is drawn toward more informative locations. As visual media, i.e. images and videos, are high-dimensional data, information estimation is often computationally infeasible due to enormous requirement of com

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Rigo, Gustavo Vrech. "Modelando a atenção seletiva e a saliência visual através de redes complexas." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/76/76132/tde-27072010-104212/.

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A atenção seletiva é uma característica central do sistema visual humano, uma vez que todo o cérebro é otimizado de modo a perceber as informações ao seu redor da forma mais rápida possível. Porém, em geral os trabalhos nesta área apenas verificam quais são as regiões de maior freqüência da atenção seletiva, dando pouca importância para a sua mecânica. A presente dissertação propõe um modelo que represente a atenção seletiva como uma rede complexa, combinando naturalmente as áreas de redes complexas, cadeias de Markov, análise de imagens, atenção seletiva e saliência visual num modelo biologic

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Banach, Artur. "Visual navigation in minimally invasive surgery." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/228730/1/Artur_Banach_Thesis.pdf.

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This thesis investigates how to maximise spatial information from surgical camera images for robotic navigation. Image enhancement and depth estimation techniques are extended to not only improve the visual navigation capability in robotic surgery, but enable more accurate clinical diagnosis. Targeted applications include bronchoscopy and arthroscopy, with trials using real and synthetic data demonstrating potential for improved clinical outcomes of minimally invasive surgery.

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Carlén, Stefan. "Estimation of visual focus for control of a FOA-based image coder." Thesis, Linköping University, Department of Electrical Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2032.

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<p>A major feature of the human eye is the compressed sensitiveness of the retina. An image coder, which makes use of this, can heavily encode the parts of the image which is not close to the focus of our eyes. Existing image coding schemes require that the gaze direction of the viewer is measured. However, a great advantage would be if an estimator predicts the focus of attention (FOA) regions in the image. </p><p>This report presents such an implementation, which is based on a model that mimics many of the biological features of the human visual system (HVS). For example, it uses a center-su

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Serhat, Gulhan. "Efficient Detection And Tracking Of Salient Regions For Visual Processing On Mobile Platforms." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12611036/index.pdf.

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Visual Attention is an interesting concept that constantly widens its application areas in the field of image processing and computer vision. The main idea of visual attention is to find the locations on the image that are visually attractive. In this thesis, the visually attractive regions are extracted and tracked in video sequences coming from the vision systems of mobile platforms. First, the salient regions are extracted in each frame and a feature vector is constructed for each one. Then Scale Invariant Feature Transform (SIFT) is applied only to the salient regions to extract more stabl

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Murabito, Francesca. "Deeply Incorporating Human Capabilities into Machine Learning Models for Fine-Grained Visual Categorization." Doctoral thesis, Università di Catania, 2019. http://hdl.handle.net/10761/4144.

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Artificial intelligence and machine learning have long attempted to emulate human visual system. With the recent advances in deep neural networks, which take inspiration from the architecture of the primate visual hierarchy, human-level visual abilities are now coming within reach of artificial systems. However, the existing computational models are designed with engineering goals, loosely emulating computations and connections of biological neurons, especially in terms of intermediate visual representations. In this thesis we aim at investigating how human skills can be integrated into compu

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Verma, Milan. "A biological plausible model for visual saliency with applications in the generation of on-demand experimental stimuli and interactive rendering." Thesis, Queen Mary, University of London, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.518254.

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Startsev, Mikhail [Verfasser], Michael [Akademischer Betreuer] Dorr, Erhardt [Gutachter] Barth, Michael [Gutachter] Dorr, and Klaus [Gutachter] Diepold. "Computationally Modelling Human Visual Perception: Eye Movements and Saliency / Mikhail Startsev ; Gutachter: Erhardt Barth, Michael Dorr, Klaus Diepold ; Betreuer: Michael Dorr." München : Universitätsbibliothek der TU München, 2020. http://d-nb.info/1223616851/34.

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Sina, Md Ibne. "Satellite Image Processing with Biologically-inspired Computational Methods and Visual Attention." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23122.

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The human vision system is generally recognized as being superior to all known artificial vision systems. Visual attention, among many processes that are related to human vision, is responsible for identifying relevant regions in a scene for further processing. In most cases, analyzing an entire scene is unnecessary and inevitably time consuming. Hence considering visual attention might be advantageous. A subfield of computer vision where this particular functionality is computationally emulated has been shown to retain high potential in solving real world vision problems effectively. In this

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Mendonça, Ricardo André Martins. "A learning approach to swarm-based path detection and tracking." Master's thesis, Faculdade de Ciências e Tecnologia, 2012. http://hdl.handle.net/10362/8226.

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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores<br>This dissertation presents a set of top-down modulation mechanisms for the modulation of the swarm-based visual saliency computation process proposed by Santana et al. (2010) in context of path detection and tracking. In the original visual saliency computation process, two swarms of agents sensitive to bottom-up conspicuity information interact via pheromone-like signals so as to converge on the most likely location of the path being sought. The behaviours ruling the agents’motion are composed of a

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Liu, Xi. "Improving the performance of airport luggage inspection by providing cognitive and perceptual supports to screeners." Thesis, Loughborough University, 2008. https://dspace.lboro.ac.uk/2134/19048.

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Recently concern about aviation security has focused on the work of airport security screeners who detect threat items in passengers' luggage. An effective method of training and screening is required for improving screeners' detection abilities and performance to cope with the unreliable human performance of screening. The overall aim of this thesis is to understand and define the potential visual and cognitive factors in the task of inspecting airport passengers' X-ray luggage images, examine usability of perceptual feedback in this demanding task and develop a new method of salient regions

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Wang, Xi [Verfasser], Marc [Akademischer Betreuer] Alexa, Marc [Gutachter] Alexa, Gordon [Gutachter] Wetzstein, and Kenneth [Gutachter] Holmqvist. "Exploring perception through the eyes : from eye tracking to visual saliency and mental imagery / Xi Wang ; Gutachter: Marc Alexa, Gordon Wetzstein, Kenneth Holmqvist ; Betreuer: Marc Alexa." Berlin : Technische Universität Berlin, 2020. http://d-nb.info/1213803470/34.

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Kachurka, Viachaslau. "Contribution à la perception et l’attention visuelle artificielle bio-inspirée pour acquisition et conceptualisation de la connaissance en robotique autonome." Thesis, Paris Est, 2017. http://www.theses.fr/2017PESC1072/document.

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La présente thèse du domaine de la « Perception Bio-inspirée » se focalise plus particulièrement sur l’Attention Visuelle Artificielle et la Saillance Visuelle. Un concept de l’Attention Visuelle Artificielle inspiré du vivant, conduisant un modèle d’une telle attention artificielle bio-inspirée, a été élaboré, mis en œuvre et testé dans le contexte de la robotique autonome. En effet, bien qu’il existe plusieurs dizaines de modèles de la saillance visuelle, à la fois en termes de contraste et de cognition, il n’existe pas de modèle hybridant les deux mécanismes d’attention : l’aspect visuel et

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Fraihat, Hossam. "Contribution à la perception visuelle multi-résolution de l’environnement 3D : application à la robotique autonome." Thesis, Paris Est, 2017. http://www.theses.fr/2017PESC1065/document.

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Le travail de recherche effectué dans le cadre de cette thèse concerne le développement d’un système de perception de la saillance en environnement 3D en tirant l’avantage d’une représentation pseudo-3D. Notre contribution et concept issue de celle-ci part de l'hypothèse que la profondeur de l’objet par rapport au robot est un facteur important dans la détection de la saillance. Sur ce principe, un système de vision saillante de l’environnement 3D a été proposé, conçu et validée sur une plateforme comprenant un robot équipé d’un capteur pseudo-3D. La mise en œuvre du concept précité et sa conc

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