Relevant bibliographies by topics / Interpreting Interpretation Visual Images

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Interpreting Interpretation Visual Images'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

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Journal articles on the topic "Interpreting Interpretation Visual Images"

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Fajriah, Yustika Nur, Fuad Abdul Hamied, and Wawan Gunawan. "IMAGE-TEXT RELATION INTERPRETATION: TEACHERS’ VISUAL-VERBAL COMPETENCE IN TEACHING TEXTS." Jurnal Cakrawala Pendidikan 40, no. 1 (February 25, 2021): 208–17. http://dx.doi.org/10.21831/cp.v40i1.33755.

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Multimodal literacy instruction is such a new shift of the literacy in which the construction of knowledge is led to be more socially and contextually bounded. Due to the urgency that teachers have to own multimodal competencies, this study aimed to investigate EFL teachers’ competence in interpreting visual-verbal relations to teach multimodal texts. To collect the data, an online test through the Google form platform was distributed. As many as 43 responses were collected from junior and senior high school teachers in one of the cities in Indonesia. A semi-structured interview was also conducted with six purposive participants. The data in this research were then analysed based on Royce’s criteria of image-text relation. The analysis found that the teachers only partially possessed multimodal competencies. It means that that they had used images to help them teach the texts but had insufficient knowledge on how to utilize the images as meaning-making sources. Then, based on the finding, it is suggested that the teachers should improve their competences in interpreting multimodal meanings in texts, so images are used not only for making learning materials interesting but also for making more meanings from the texts.
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Denny, Kathryn Anne. "Recognising changes in visual representation of clothing in CCTV imaging." Journal of Criminological Research, Policy and Practice 1, no. 4 (December 7, 2015): 233–38. http://dx.doi.org/10.1108/jcrpp-08-2015-0033.

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Purpose – Closed circuit television (CCTV) imaging is an increasingly used technology and it is now common place for law enforcement to access CCTV footage as an investigative tool to assist in the nomination of a person of interest, or to aid in the prosecution of an offender. The purpose of this paper is to discuss the role of imaging practitioners in the analysis and interpretation of CCTV images within a law enforcement context. It explores and addresses the limitations of CCTV imaging in evidence with a focus on the interpretation of changes in the visual representation of clothing items. Design/methodology/approach – This paper demonstrates the variations observed in four dark toned garments imaged using one CCTV camera with two different recording settings – visible light and near infrared. The device used was installed and operated in a manner comparable to that used in the public domain, the resulting images indicative of those experienced in casework. Findings – The results display a noticeable change to the tonality of each clothing item between the varied recording conditions. These inconsistencies highlight the limitations of layperson analysis and identify the importance of the inclusion of imaging practitioners when interpreting and analysing such images as evidence. Originality/value – With an abundance of images in the society, layperson interpretation has become common place. Recognising the value of trained imaging practitioners who can assist law enforcement in analysis and interpretation is paramount to ensuring CCTV images as evidence are used appropriately.
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Svatonova, H. "ANALYSIS OF VISUAL INTERPRETATION OF SATELLITE DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 675–81. http://dx.doi.org/10.5194/isprsarchives-xli-b2-675-2016.

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Millions of people of all ages and expertise are using satellite and aerial data as an important input for their work in many different fields. Satellite data are also gradually finding a new place in education, especially in the fields of geography and in environmental issues. The article presents the results of an extensive research in the area of visual interpretation of image data carried out in the years 2013 - 2015 in the Czech Republic. The research was aimed at comparing the success rate of the interpretation of satellite data in relation to a) the substrates (to the selected colourfulness, the type of depicted landscape or special elements in the landscape) and b) to selected characteristics of users (expertise, gender, age). The results of the research showed that (1) false colour images have a slightly higher percentage of successful interpretation than natural colour images, (2) colourfulness of an element expected or rehearsed by the user (regardless of the real natural colour) increases the success rate of identifying the element (3) experts are faster in interpreting visual data than non-experts, with the same degree of accuracy of solving the task, and (4) men and women are equally successful in the interpretation of visual image data.
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Svatonova, H. "ANALYSIS OF VISUAL INTERPRETATION OF SATELLITE DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 675–81. http://dx.doi.org/10.5194/isprs-archives-xli-b2-675-2016.

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Millions of people of all ages and expertise are using satellite and aerial data as an important input for their work in many different fields. Satellite data are also gradually finding a new place in education, especially in the fields of geography and in environmental issues. The article presents the results of an extensive research in the area of visual interpretation of image data carried out in the years 2013 - 2015 in the Czech Republic. The research was aimed at comparing the success rate of the interpretation of satellite data in relation to a) the substrates (to the selected colourfulness, the type of depicted landscape or special elements in the landscape) and b) to selected characteristics of users (expertise, gender, age). The results of the research showed that (1) false colour images have a slightly higher percentage of successful interpretation than natural colour images, (2) colourfulness of an element expected or rehearsed by the user (regardless of the real natural colour) increases the success rate of identifying the element (3) experts are faster in interpreting visual data than non-experts, with the same degree of accuracy of solving the task, and (4) men and women are equally successful in the interpretation of visual image data.
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Behshad, Azam, and Saeed Ghaniabadi. "Visual Analysis of Magazine Covers." International Journal of Linguistics 7, no. 5 (October 19, 2015): 20. http://dx.doi.org/10.5296/ijl.v7i5.8445.

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<p>The aim of this paper is to look into ways in which modes are chosen if signs are produced for interpretation and presentation of theories and meanings. Magazine is a complex collection of signs that can be extensively decoded and analyzed by different factors. The most spectacular components are documentary photos, manipulated images and portrait photos. According to the results, many processes (action, symbolic, reaction, and analytical processes), and strategies (e.g. top vs. bottom strategies and margin vs. center), modality modification and color differentiation, are required in representing and interpreting concepts and meanings in this type of discourse. The discourse analysis used here is accomplished based on Halliday’s model of functional-systematic grammar (1976, 2004), which uses three meta functions to describe different communicational modes.</p>
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Lomax, Helen, and Janet Fink. "Interpreting Images of Motherhood: The Contexts and Dynamics of Collective Viewing." Sociological Research Online 15, no. 3 (August 2010): 26–44. http://dx.doi.org/10.5153/sro.2157.

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Our research is concerned with cultural representations of birth and mothering and, as part of this, we are engaged with debates concerning competing theoretical and methodological approaches to the analysis of visual images. In particular we are interested in how meanings of an image are reflexively produced, managed and negotiated. That is, whether and to what extent interpretation is influenced by personal experience, emotion and memory; the ways in which the context of viewing may mediate meaning; and how the relationship between researcher and research subject may shape the interpretative process. In order to explore such questions, this paper draws on the tape-recorded discussion of a group of women collectively viewing images of new mothers. These included photographs of mothers and their newborns taken by the Dutch photographer Rineke Dijkstra, and photographs of us, the authors, as new mothers, taken by our respective families. The paper blends the analytic framework of conversation analysis and discursive psychology in order to consider both our own and the discussants’ responses to these photographs as they emerge through the dynamic and discursive process of collective viewing. In addition we consider the significance of our own and the discussants’ biographies and reproductive experiences, as they are made visible in the talk-in-interaction, for the meanings generated by the group's engagement with the photographs. Through this reflexive approach we highlight the significance of the interplay between broader cultural narratives, genres, memories and experiences for the interpretive process and the analytical challenges posed by collective viewings of images in which meanings are discursively situated, negotiated and silenced.
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Grishchenko, Mikhail Yurievich, Nikolay Dmitrievich Goryunov, and Alla Sergeevna Turchaninova. "AVALANCHE DEPOSITS REVEALING ON THE BEZENGI GLACIER USING SENTINEL-2 SATELLITE IMAGES." GEOGRAPHY AND TOURISM, no. 47 (2019): 140–48. http://dx.doi.org/10.17721/2308-135x.2019.47.140-148.

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Purpose. The aim of the paper is to evaluate the interpretation properties of Sentinel-2 satellite images from the point of view of revealing avalanche deposits on glaciers. Scientific novelty. Despite the sometimes quite high significance of avalanche deposits in the glaciers nourishment, the assessment of the Sentinel-2 satellites images applicability for solving the problem of detecting avalanche deposits on glaciers has not yet been carried out. Methods. The paper describes the main methodological approaches of revealing by such images the boundaries of the glacier, avalanche paths and avalanche deposits. The methods of visual interpretation of images synthesized in various color renditions were used. Results. During the work, an assessment was made of the suitability of using the Sentinel-2 images in studies of the Caucasus valley glaciers avalanche nourishment, as well as the possibilities and limitations of using these images for interpreting avalanche deposits within the glaciers were described. The practical significance. The results will allow to more effectively evaluate the avalanche nourishment of glaciers.
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Kim, Incheol, Sivaramakrishnan Rajaraman, and Sameer Antani. "Visual Interpretation of Convolutional Neural Network Predictions in Classifying Medical Image Modalities." Diagnostics 9, no. 2 (April 3, 2019): 38. http://dx.doi.org/10.3390/diagnostics9020038.

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Deep learning (DL) methods are increasingly being applied for developing reliable computer-aided detection (CADe), diagnosis (CADx), and information retrieval algorithms. However, challenges in interpreting and explaining the learned behavior of the DL models hinders their adoption and use in real-world systems. In this study, we propose a novel method called “Class-selective Relevance Mapping” (CRM) for localizing and visualizing discriminative regions of interest (ROI) within a medical image. Such visualizations offer improved explanation of the convolutional neural network (CNN)-based DL model predictions. We demonstrate CRM effectiveness in classifying medical imaging modalities toward automatically labeling them for visual information retrieval applications. The CRM is based on linear sum of incremental mean squared errors (MSE) calculated at the output layer of the CNN model. It measures both positive and negative contributions of each spatial element in the feature maps produced from the last convolution layer leading to correct classification of an input image. A series of experiments on a “multi-modality” CNN model designed for classifying seven different types of image modalities shows that the proposed method is significantly better in detecting and localizing the discriminative ROIs than other state of the art class-activation methods. Further, to visualize its effectiveness we generate “class-specific” ROI maps by averaging the CRM scores of images in each modality class, and characterize the visual explanation through their different size, shape, and location for our multi-modality CNN model that achieved over 98% performance on a dataset constructed from publicly available images.
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Chapman, Mimi V., Shiyou Wu, and Meihua Zhu. "What is a picture worth? A primer for coding and interpreting photographic data." Qualitative Social Work 16, no. 6 (June 1, 2016): 810–24. http://dx.doi.org/10.1177/1473325016650513.

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Society is becoming increasingly image based. As individuals regularly record moments both mundane and momentous, images potentially lose or gain power to communicate important information. Social work scholars have argued that social work should incorporate images into both interventions ( Chapman and Hall, 2016 ; Chapman et al., 2014 ) and research ( Marshal et al., 2009 ). A recent review provides an overview of visual methodologies in social work ( Clark and Morriss, 2015 ). The most popular means of doing this has been through the incorporation of Photovoice ( Wang and Burris, 1997 ) into the social work research repertoire. Yet, in Photovoice, although images are central, text remains the unit of analysis. This paper aims to augment the existing literature in social work by focusing on ways in which images can be data in and of themselves and how image-based data interact with text-based data. We will begin with ethical considerations, proceed to step-by-step instructions for coding and analyzing image-based data in ATLAS.ti, and finally discuss interpretation. A case example drawing on a visually based project originally conducted with in-country Chinese migrant mothers will illustrate the outlined methods.
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Katz, Meighen. "A Paradigm of Resilience." Public Historian 36, no. 4 (November 1, 2014): 8–25. http://dx.doi.org/10.1525/tph.2014.36.4.8.

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Taken by a host of talented photographers, the Farm Security Administration photographs have become the defining visual imagery of the Great Depression. Familiar, beautifully composed, and free from reproduction copyright, these photographs have become an essential tool for interpreting a number of facets of the 1930s, especially that of poverty. As useful as the images are, the nature of their creation and the embedded messages regarding hardship mean that they are not as universal as is sometimes presumed. This article examines how the images facilitate interpretation of Great Depression history, particularly that which pertains to the experience of poverty, and the repercussions and limitations of their use.
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Dissertations / Theses on the topic "Interpreting Interpretation Visual Images"

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Hill, Andrew. "Interpreting electroacoustic audio-visual music." Thesis, De Montfort University, 2013. http://hdl.handle.net/2086/9898.

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The basis of this research project stems from reflections upon the process of composition for electroacoustic audio-visual music. These are fixed media works in which sound and image materials are accessed, generated, explored and configured in creation of a musically informed audio-visual expression. Within the process of composition, the composer must decide how to effectively draw relationships between these time based media and their various abstract and mimetic materials. This process usually has no codified laws or structures and results in relationships that are singular to the individual artworks. The composer uses their own experience and intuition in assessing how best to associate sounds and images and they will use their own interpretation of the materials to evaluate the how successful they are in realising their intentions. But what is there to say that the interpretation made by the composer bares any resemblance to interpretations made by audiences? The current research sought to assess any trends or commonalities in how people interpret such works. Utilising a combination of empirical research, composition and scholarly study, the project investigated various theoretical approaches to interpretation and the occurrence of correlation between compositional intention and audience interpretation. Models from different theoretical disciplines were combined in order to build up a picture of the processes involved in making interpretations, and to aid in the rationalisation of empirical data. The application of three methodological approaches allowed for the topic to be considered from a diversity of perspectives, and for triangulation to take place in confirmation of the research outcomes. The way in which individuals build up interpretations from non-codified abstract and mimetic materials also provided a suitable case study for the critique and assessment of various theoretical approaches to interpretation. The project challenges structuralist approaches to interpretation, drawing together theoretical materials and empirical research findings in support of a post-structrualist model of interpretation that demonstrates the absolutely vital role played by context - the framing of the artwork in the consciousness of the individual audience member.
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Wang, Junpeng. "Interpreting and Diagnosing Deep Learning Models: A Visual Analytics Approach." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555499299957829.

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Cheng, Ming-hsien. "Culture and interpretation : a study of Taiwanese children's responses to visual images /." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu148640228826077.

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Davies, Alan. "Examining expertise through eye movements : a study of clinicians interpreting electrocardiograms." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/examining-expertise-through-eye-movements-a-study-of-clinicians-interpreting-electrocardiograms(43593216-6887-43ab-a404-00b00fa38e12).html.

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The electrocardiogram (ECG) is a graphical representation of the electrical activity of the heart. The 12-lead ECG shows this activity in 12 "views" called "leads", relative to the location of sensors attached to the body surface. The ECG is a routinely applied cost effective diagnostic medical test, utilised in healthcare settings around the world. Although more than three hundred million ECGs are recorded each year, correctly interpreting them is considered a complex task. Failure to make correct interpretations can lead to injury or death and costs vast sums in litigation payments. Many automated attempts at interpreting ECGs have been implemented and continue to be developed and improved. Despite this, automated methods are still considered to be less reliable than expert human interpretation. As ECG interpretation is both a cognitive and visual task, eye-tracking holds great potential as an investigative methodology. This thesis aims to identify any cues in visual behaviour that may indicate differences in subsequent ECG interpretation accuracy. This is the first work that uses eye-tracking to analyse how practitioners interpret ECGs as a function of accuracy. In order to investigate these phenomenon, several experiments were carried out using eye-movements captured from clinical practitioners that interpret ECGs as part of their usual clinical role. The findings presented in this thesis have advanced research in the understanding of ECG interpretation. Specifically: Clinical history makes a difference to how people look at ECGs; different gaze patterns are often found in accurate and inaccurate interpretation groups. Grouping data to account for within ECG lead behaviour (eye-movement patterns within a lead) is more revealing than analysis at the level of the lead (eye-movements between leads). Findings suggest analysing visual behaviour at this level is crucial in order to detect behaviour in ECG interpretation. Further to this the thesis presents eye-tracking techniques that can be applied to wider areas of task performance. These methods work over complex stimuli, are able to deal post hoc with differently sized groups and generate appropriate areas of interest on a stimulus. These methods detect important differences in eye-movement behaviour between groups that are missed when applying standard inferential statistical techniques.
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Fu, Linda, and n/a. "VISUAL COMMUNICATION ACROSS CULTURES A Semiotic Study of the Interpretation of Western Brand Images in China." University of Canberra. Communication, 2000. http://erl.canberra.edu.au./public/adt-AUC20090605.155440.

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This thesis seeks to shed some light on the study and practice of visual communication across cultural boundaries, Using a semiotic approach, it examines how a selected range of Western brand images that are promoted in the People's Republic of China are 'read' and interpreted by the local urban population. The case studies include symbolic images, such as logomarks and logotypes, as well as iconic images such as photographic material in advertisements. The political, economic and social context, and cultural aspects, such as attitudes, values and various cultural codes, are considered as influencing factors tha t affect the decoding of the meaning of visual unages. The research indicates that the intended and perceived meanings of a branding image rarely match when there is a significant difference between the cultures in which the image is encoded and decoded. While in a few instances the local population interprets the Western brand images in the manner intended by the Western communicator, most are interpreted differently. Some images are interpreted with a positive, albeit different, connotation, others are seen as rather negative. In the worst-case scenario, the messages are severely misunderstood and totally rejected by the readers due to cultural incompatibility. Rather unexpectedly, symbolic images, acknowledged as arbitrary and culture-specific in nature, are more readily interpreted in a positive way and close to the intended meaning than are the iconic images. The latter tend to be interpreted almost exclusively in the reader's (rather than the author's) cultural context and thus may be prone to misunderstanding or even rejection. The thesis concludes that the challenge in communicating visually across cultural boundaries is to recognise cultural differences, and draw on cultural compatibility to generate shared meaning and avoid cultural clashes that cause negative interpretation
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Hamalainen, Bonnie. "Stories in Stone: Interpreting history in the context of a museum exhibition." VCU Scholars Compass, 2005. http://scholarscompass.vcu.edu/etd_retro/10.

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This project examines opportunities for history exhibition design practices. Research into museum studies and creative work in typography, photography, graphic design and architecture result in curation and design of a prototypical exhibit about the granite quarrying industry of Stonington, Maine.
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Dorfling, Aletta. "Beeld se gedagtes : 'n alternatiewe benadering tot die voorstellingsfunksie van die fotobeeld." Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/5401.

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Thesis (MA (Visual Art))--University of Stellenbosch, 2010.
AFRIKAANSE OPSOMMING: Hierdie tesis is bemoei met die wyse waarop die fotobeeld konvensioneel aan 'n mimetiese kode van "gedrag" onderhewig is, met die gevolg dat alternatiewe voorstellingsfunksies dikwels buite oorweging gehou word. 'n Interessante area van ondersoek word blootgestel wanneer die komplekse verhouding tussen die toeskouer en beeld betrek word om die broosheid van eersgenoemde se agentskap in die waarnemingproses te beklemtoon. Dit is dus vanuit hierdie gewaarwording dat ek my bespreking van die fotobeeld grotendeels binne 'n psigoanalitiese raamwerk situeer en aan die hand van konsepte soos Einfühlung, die Lacanian Real en John Dewey (2005) se teorie van kuns as ervaring, bespreek. Die skynbaar teenstrydige aard van die fotobeeld as (onder andere) beide mimetiese realiteitskopie en piktoriale fiksie, ooglopend onafhanklik van taal en eweveel deurspek met diskursiewe vertolkings, openbaar volgens my egter die ideale vertrekpunt vanwaar fotografie se voorstellingsfunksie heroorweeg kan word. Dié opponerende tweespalt, wat as kenmerkende karaktertrekke van die fotobeeld na vore tree, noop die toeskouer om die beeld met 'n verhoogde sensitiwiteit te benader – met die gevolg dat die foto se onlosmaaklike skakel met "haar"1 diskursiewe grense en aptyt vir die "onsêbare" as konstruktiewe koalisie gesien word. Die fotografiese werk van Lien Botha, veral haar Amendment–reeks (2006) en Parrot Jungle (2009), sal deurentyd as visuele bevestiging van my argumente betrek word.
ENGLISH ABSTRACT: This thesis is concerned with the way in which the photographic image has conventionally been subject to a mimetic code of "behaviour", resulting in the marginalization of alternative, representational functions. An interesting area of study is, however, laid bare when the complex relationship between the viewer and image initiates a discussion around the former's wavering position as autonomous agent within the observation process. Using this awareness as a point of departure, my discussion will be primarily situated within a psychoanalytic framework by focusing partly on concepts like Einfühlung, the Lacanian Real and John Dewey's theory of art as experience. An apparent dualistic rivalry, that situates the photo-image simultaneously as a mimetic agent of reality and pictorial fiction, apparently devoid of language and equally riddled with discursive interpretations, serves furthermore as an ideal complication of the photograph's conventional, representational function. These opposing "forces", recognizable as a typical characteristic of the photographic image, subtly challenges the viewer to regard it with a heightened sensitivity – resulting in an awareness that the photograph's inseparable bond with its discursive boundaries, and appetite for the "unrepresentational", does in fact represent a constructive coalition. The photographic work of Lien Botha, especially her Amendment-series (2006) and Parrot Jungle (2009) will serve as a visual emphasis of my arguments.
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Lundgren, Mathilda, and Karlsson Madeleine Sanchez. "#IDENTITETPÅINSTAGRAM : En kvalitativ studie om hur smyckesföretag reflekterar sin identitet genom bilder på Instagram." Thesis, Södertörns högskola, Företagsekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-38416.

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Det allt mer digitaliserade samhället innebär att företag har valt att satsa på marknadsföring på sociala medier. Instagram som har blivit en mycket populär plattform för visuellt skapande och kan användas av företag för att förmedla sin identitet samt för att vinna konkurrensfördelar och marknadsandelar. Eftersom plattformen ofta används som ett tanklöst socialt medium har företagen inte lång tid på sig att fånga konsumenternas uppmärksamhet. Det blir därför av stor vikt för företag att sticka ut på plattformen och förmedla en stark identitet så de inte hamna i skuggan av andra bilder som publiceras på forumet varje dag.   Studien hade som mål att undersöka hur väl bilder på Instagram reflekterar smyckesföretags identitet, samt hur bilder kan medverka till att bygga identitet. Eftersom ett fåtal smyckesföretag har kapacitet eller personal att genomföra och utforma en effektiv designstrategi samt då de saknas tidigare studier inom detta område, är de viktigt att undersöka denna bransch. De smyckesföretag som studien behandlat är Sophie by Sophie, Malin Ljung Jewellery, Caroline Svedbom Jewellery, Drakenberg Sjölin och Guldfynd.   Metoden som användes är kvalitativ undersökning och inkluderade semi-strukturerade intervjuer. Intervjuerna bestod av två olika moment, där första momentet innebar att respondenterna fick svara på frågor gällande användningen av Instagram samt som marknadsföringsplattform. Under andra momenten fick respondenterna studera olika bilder av de fem smyckesföretagens Instagramkonton samtidigt som de fick besvara frågor.   Studien bidrog till slutsatser som att begreppet identitet var ett brett begrepp som var svårt att definiera. Respondenterna ansåg att enbart ett av företagen utstrålade sin identitet, de övriga lite eller inget alls. Det fanns flera likheter och skillnader i hur estetiken uppfattas men färger, personer och smycken på bilderna, vardagliga- och studiobilder, bildkomponering samt materialval var vad som oftast kommenterades.
The increasingly digitized society means that companies have chosen to invest in marketing on social media. Instagram has become a very popular visual creation platform and can be used by companies to convey their identity and gain competitive advantage and market share. Since the platform is often used as a thoughtless social medium, companies do not have much time to catch the consumers’ attention. It will be of great importance for companies to stand out on the platform and convey a strong identity so that they do not end up in the shadow of other images published on the forum every day. This thesis goal was to investigate how well images on Instagram reflect the identity of jewellery companies, and how images can contribute to building an identity. Since a few jewellery companies have the capacity or staff to implement an effective design strategy and since it lacks previous studies in this area, it is important to investigate this industry. The jewellery companies that are in this thesis is Sophie by Sophie, Malin Ljung Jewellery, Caroline Svedbom Jewellery, Drakenberg Sjölin and Guldfynd. The used method is qualitative examination and included semi-structured interviews. The interviews consisted of two different moments, where the first moment meant that the respondents answered questions regarding the use of Instagram and as a marketing platform. During other moment, the respondents were asked to study different images of the five jewellery companies' Instagram accounts while they answered questions. The thesis contributed to the conclusion that the concept of identity was a broad concept that was difficult to define. The respondents considered that only one of the companies expressed their identity, the others expressed little or nothing at all. There were several similarities and differences in how aesthetics perceived but colors, persons and jewellery in the pictures, every day and studio images, image composition and material selection were the most commented.
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Falcon, ANA-JOEL. "The Orient Imagined, Experienced and Remembered in the Work of Alexandre Gabriel Decamps (1803-1860): A Study of the Artist’s Personal Orient." Thesis, 2008. http://hdl.handle.net/1974/1625.

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Alexandre-Gabriel Decamps (1803-1863) set out on his only trip to Greece and Turkey in 1828 to return to France and produce visual images of the Orient at a time when no major European artist had traveled to the Near East and at a time when the Orient had yet to be experienced, understood, and interpreted. Decamps’ highly original and personal interpretation of the Orient in painting has been studied by present-day scholars exclusively within the context of Romantic Orientalist genre painting. Studying criticism written on his work throughout the 19th century and working closely with his paintings, certain issues in his Orientalist paintings question the longstanding categorization of his work as solely Romantic Orientalist genre paintings. The fact that the artist never returned to the Orient; the fact that he invested his Orientalist landscapes with a Rembrandesque rather than Oriental light; his constant inclusion of contrasting opposites in the ostensibly subdued compositions he produced; the striking differences between his Oriental visual expressions and those of his Romantic contemporaries; and his own sentiment of being a failed artist, reveal alternative, less settled, readings of his work. Studying Decamps’ Orientalist oeuvre in its social and political contexts and taking into account the artist’s personal ambitions demonstrates the lasting resonance of this work, of the artist’s highly original working methods, and of his innovative technique. This study provides an assessment of Decamps’ Oriental work; it also delineates its relevance and influence in movements beyond Romanticism and into trends that developed during the late 19th and early 20th centuries.
Thesis (Master, Art History) -- Queen's University, 2008-12-11 20:43:05.08
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WEN, YU YU, and 于玉文. "Action Research for Developing Instructional Strategies on Interpreting Images in Visual Culture." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/89541000808728935985.

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碩士
國立花蓮教育大學
視覺藝術教育研究所
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Abstract At this age of visual culture, visual image communication has replaced word communication. Humans now rely on visual aides to understand the world more than ever. We live in a world full of images; however, not all of images are real. As images are taken, they hold a certain purpose and meaning. Based on this premise, the interpretation of images in visual culture is essential to modern people. The goal of this action research is to investigate how teachers develop strategies to guide students in interpreting images. There are two main purposes of the study: (1) developing instructional strategies on interpreting images and (2) evaluating the professional growth of the instructor in visual culture education via the instructor’s reflection on their instruction and the students’ response. The findings are concluded as follows: 1) using daily images as teaching materials can shorten the distance between the learner’s concept and visual art itself; 2) the strategy “observance, understanding and re-creation” is developed and is transformed into the teaching approach “I saw, I knew, I thought.” By using the visual diary, the sensibility of art can be developed. Without giving any standard answers, the learner’s confidence and ability of interpreting images can be increased; 3) if the teaching theory can be successfully transformed into the teaching reality, the professional skills of the instructor will be improved.
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Books on the topic "Interpreting Interpretation Visual Images"

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Visual methods in psychology: Using and interpreting images in qualitative research. New York: Routledge, 2011.

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editor, Melion Walter S., Clifton James 1958 editor, and Weemans Michel editor, eds. Imago exegetica: Visual images as exegetical instruments, 1400-1700. Leiden: Brill, 2014.

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Recherches sociologiques sur les images. Paris: L'Harmattan, 2008.

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Images animées: Propositions pour la sémiologie des messages visuels. Paris: L'Harmattan, 2008.

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Leconte, Bernard. Images animées: Propositions pour la sémiologie des messages visuels. Paris: L'Harmattan, 2008.

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Marc, Tamisier, and Costantini Michel, eds. Opinion, information, rumeur, propagande: Par ou avec les images : XIIèmes journées internationales de sémiotique de Blois, octobre 2007. Paris: L'Harmattan, 2009.

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University of Rochester. Memorial Art Gallery., ed. Better things: An annotated visual essay of photographs interpreting the collection of the Memorial Art Gallery of the University of Rochester. Rochester, NY: Clarellen, 2005.

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Saouter, Catherine. Images et sociétés: Le progrès, les médias et la guerre. Montréal: Presses de l'Université de Montréal, 2003.

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Birtwell, Alison C. Othello on the wide screen: The visual interpretation of Shakespeare's images and narrative, and the representation of space, location and character in Orson Welles' (1952) and Oliver Parker's (1995) adaptations. Birmingham: University of Birmingham, 1997.

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Saint-Martin, Fernande. Le sens du langage visuel: Essai de sémantique visuelle psychanalytique. Québec: Presses de l'Université du Québec, 2007.

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Book chapters on the topic "Interpreting Interpretation Visual Images"

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Bryson, Norman. "Semiology and Visual Interpretation." In Reading Images, 89–101. London: Macmillan Education UK, 2001. http://dx.doi.org/10.1007/978-1-137-08886-4_9.

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Ablameyko, Sergey, and Tony Pridmore. "Interpreting Images of Maps." In Machine Interpretation of Line Drawing Images, 143–62. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0789-7_8.

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Reavey, Paula, and Katherine Johnson. "Visual Approaches: Using and Interpreting Images." In The SAGE Handbook of Qualitative Research in Psychology, 354–73. 1 Oliver's Yard, 55 City Road London EC1Y 1SP: SAGE Publications Ltd, 2017. http://dx.doi.org/10.4135/9781526405555.n21.

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Klingensmith, William C. "Quantitative vs. Visual Interpretation of Images." In The Mathematics and Biology of the Biodistribution of Radiopharmaceuticals - A Clinical Perspective, 15–26. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26704-3_2.

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Boehme-Neßler, Volker. "Understanding Images – The Interpretation of Visual Legal Communication." In Pictorial Law, 183–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11889-0_6.

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Antonacopoulos, A., and F. Delporte. "Automated Interpretation of Visual Representations: Extracting Textual Information from WWW Images." In Visual Representations and Interpretations, 88–93. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0563-3_9.

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Holm, Gunilla, Monica Londen, and Jan-Erik Mansikka. "4.4 Interpreting Visual (and Verbal) Data: Teenagers’ Views on Belonging to a Language Minority Group in Finland." In International Handbook of Interpretation in Educational Research, 753–81. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9282-0_36.

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Bravo, Fernando. "Changing the Interval Content of Algorithmically Generated Music Changes the Emotional Interpretation of Visual Images." In Lecture Notes in Computer Science, 494–508. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12976-1_29.

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El Zant, Chawki, Quentin Charrier, Khaled Benfriha, and Patrick Le Men. "Enhanced Manufacturing Execution System “MES” Through a Smart Vision System." In Lecture Notes in Mechanical Engineering, 329–34. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70566-4_52.

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AbstractThe level of industrial performance is a vital issue for any company wishing to develop and acquire more market share. This article presents a novel approach to integrate intelligent visual inspection into “MES” control systems in order to gain performance. The idea is to adapt an intelligent image processing system via in-situ cameras to monitor the production system. The images are thus analyzed in real time via machine learning interpreting the visualized scene and interacting with some features of the MES system, such as maintenance, quality control, security, operations, etc. This novel technological brick, combined with the flexibility of production, contributes to optimizing the system in terms of autonomy and responsiveness to detect anomalies, already encountered, or even new ones. This smart visual inspection system is considered as a Cyber Physical System CPS brick integrated to the manufacturing system which will be considered an edge computing node in the final architecture of the platform. This smart CPS represents the 1st level of calculation and analysis in real time due to embedded intelligence. Cloud computing will be a perspective for us, which will represent the 2nd level of computation, in deferred time, in order to analyze the new anomalies encountered and identify potential solutions to integrate into MES. Ultimately, this approach strengthens the robustness of the control systems and increases the overall performance of industrial production.
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Emanuel, Richard C., and Siu Challons-Lipton. "Critical Thinking, Critical Looking." In Cases on Teaching Critical Thinking through Visual Representation Strategies, 335–53. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5816-5.ch013.

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Critical thinking involves the comprehension and expression of the meaning or significance of a wide variety of experiences, situations, data, events, judgments, conventions, beliefs, rules, procedures, and criteria. One important aspect of critical thinking is the analysis, interpretation, and understanding of images. This is generally known as visual literacy. Visual literacy may be initially demonstrated at the basic levels of recognition and understanding – recognizing an image, telling what a symbol means, indicating the name of a painting and/or its artist. As one becomes more skilled at analyzing and interpreting the meaning of visuals, they are maturing toward visual fluency. Studying a cultural artifact provides students an opportunity to put things in context and to practice critical thinking. Two works of art—the Coffee Cup print and The Death of Marat painting—are provided along with example analysis.
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Conference papers on the topic "Interpreting Interpretation Visual Images"

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HajNasser, Yesser. "MultiResU-Net: Neural Network for Salt Bodies Delineation and QC Manual Interpretation." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31169-ms.

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Abstract Accurate delineation of salt bodies is essential for the characterization of hydrocarbon accumulation and seal efficiency in offshore reservoirs. The interpretation of these subsurface features is heavily dependent on visual picking. This in turn could introduce systematic bias into the task of salt body interpretation. In this study, we introduce a novel machine learning approach of a deep neural network to mimic an experienced geophysical interpreter's intellect in interpreting salt bodies. Here, the benefits of using machine learning are demonstrated by implementing the MultiResU-Net network. The network is an improved form of the classic U-Net. It presents two key architectural improvements. First, it replaces the simple convolutional layers with inception-like blocks with varying kernel sizes to reconcile the spatial features learned from different seismic image contexts. Second, it incorporates residual convolutional layers along the skip connections between the downsampling and the upsampling paths. This aims at compensating for the disparity between the lower-level features coming from the early stages of the downsampling path and the much higher-level features coming from the upsampling path. From the primary results using the TGS Salt Identification Challenge dataset, the MultiResU-Net outperformed the classic U-Net in identifying salt bodies and showed good agreement with the ground truth. Additionally, in the case of complex salt body geometries, the MultiResU-Net predictions exhibited some intriguing differences with the ground truth interpretation. Although the network validation accuracy is about 95%, some of these occasional discrepancies between the neural network predictions and the ground truth highlighted the subjectivity of the manual interpretation. Consequently, this raises the need to incorporate these neural networks that are prone to random perturbations to QC manual geophysical interpretation. To bridge the gap between the human interpretation and the machine learning predictions, we propose a closed-loop-machine-learning workflow that aims at optimizing the training dataset by incorporating both the consistency of the neural network and the intellect of an experienced geophysical interpreter.
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Chu, Chen-Chau, N. Nandhakumar, and J. K. Aggarwal. "Interpreting Segmented Laser Radar Images Using a Knowledge-Based System." In 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, edited by Paul S. Schenker. SPIE, 1990. http://dx.doi.org/10.1117/12.969985.

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Carlini, Lucas Pereira, Tatiany M. Heideirich, Rita C. X. Balda, Marina C. M. Barros, Ruth Guinsburg, and Carlos Eduardo Thomaz. "Visual Perception of Pain in Neonatal Face Images." In XV Workshop de Visão Computacional. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/wvc.2019.7625.

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More than 500 painful intervetions are carried out during the hospitalization of a newborn baby in an intensive medical care unit. In these situations, there is, however, a challenging difficulty to identify pain, owing to the unlikeliness of direct and objective verbal communication commonly used among adults. This work is part of an on-going research that aims to develop a computational framework to interpreting and recognizing patterns on face images for automatic assessment of neonatal procedural pain. We believe that such investigation might provide relevant information to understand the relation between neonatal facial features and procedural pain and, consequently, helping health professionals in the corresponding clinical practice.
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Svatonova, Hana. "Aerial and satellite images in crisis management: Use and visual interpretation." In 2015 International Conference on Military Technologies (ICMT). IEEE, 2015. http://dx.doi.org/10.1109/miltechs.2015.7153705.

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Chen, Yan, Alastair Gale, Leng Dong, Qiang Tang, and Daniella Bernardi. "Analysis of visual search behaviour from experienced radiologists interpreting digital breast tomosynthesis (DBT) images: a pilot study." In Image Perception, Observer Performance, and Technology Assessment, edited by Robert M. Nishikawa and Frank W. Samuelson. SPIE, 2018. http://dx.doi.org/10.1117/12.2293615.

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Hilasaca, Gladys M., and Fernando V. Paulovich. "A visual approach for user-guided feature fusion." In XXXII Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sibgrapi.est.2019.8313.

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Dimensionality Reduction transforms data from high-dimensional space into visual space preserving the existing relationships. This abstract representation of complex data enables exploration of data similarities, but brings challenges about the analysis and interpretation for users on mismatching between their expectations and the visual representation. A possible way to model these understandings is via different feature extractors, because each feature has its own way to encode characteristics. Since there is no perfect feature extractor, the combination of multiple sets of features has been explored through a process called feature fusion. Feature fusion can be readily performed when machine learning or data mining algorithms have a cost function. However, when such a function does not exist, user support needs to be provided otherwise the process is impractical. In this project, we present a novel feature fusion approach that employs data samples and visualization to allow users to not only effortlessly control the combination of different feature sets but also to understand the attained results. The effectiveness of our approach is confirmed by a comprehensive set of qualitative and quantitative experiments, opening up different possibilities for user-guided analytical scenarios. The ability of our approach to provide real-time feedback for feature fusion is exploited in the context of unsupervised clustering techniques, where users can perform an exploratory process to discover the best combination of features that reflects their individual perceptions about similarity. A traditional way to visualize data similarities is via scatter plots, however, they suffer from overlap issues. Overlapping hides data distributions and makes the relationship among data instances difficult to observe, which hampers data exploration. To tackle this issue, we developed a technique called Distance-preserving Grid (DGrid). DGrid employs a binary space partitioning process in combination with Dimensionality Reduction output to create orthogonal regular grid layouts. DGrid ensures non-overlapping instances because each data instance is assigned only to one grid cell. Our results show that DGrid outperforms the existing state-of-the-art techniques, whereas requiring only a fraction of the running time and computational resources rendering DGrid as a very attractive method for large datasets.
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Gong, Bo, Ela Manuel, Youfang Liu, David Forand, Tom Malizia, Vahid Tohidi, and Alex Saldana. "INTERPRETATION OF LWD ACOUSTIC BOREHOLE IMAGE LOGS: CASE STUDIES FROM NORTH AMERICAN SHALE PLAYS." In 2021 SPWLA 62nd Annual Logging Symposium Online. Society of Petrophysicists and Well Log Analysts, 2021. http://dx.doi.org/10.30632/spwla-2021-0085.

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Logging-while-drilling (LWD) acoustic imaging technology emerged in the past few years as a low-cost solution to detect and characterize fractures in high-angle and horizontal wells. This type of imaging tool works in either water-based or oil-based drilling fluids, making it a competitive choice for logging unconventional shale wells, which are often drilled with oil-based mud. With high-resolution acoustic amplitude and travel-time images, fractures, bedding planes and other drilling-related features can be identified, providing new insights for reservoir characterization and wellbore geomechanics. The quality of LWD acoustic images however is directly affected by drilling parameters and borehole conditions, as the received signal is sensitive to formation property and wellbore changes at the same time. As a result, interpretation can be quite challenging, and caution needs to be taken to differentiate actual formation property changes from drilling-related features or image artifacts. This paper demonstrates the complexity of interpreting LWD acoustic images through multiple case studies. The examples were collected from vertical and horizontal wells in multiple shale plays in North America, with the images logged and processed by different service companies. Depending on the geology and borehole conditions, various features and artifacts were observed from the images, which can be used as a reference for geologists and petrophysicists. Images acquired with different drilling parameters were compared to show the effect of drilling conditions on image quality. Recommendations and best practices of using this new type of image log are also shared.
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Biring, Sajal. "Auto-Metrology on TEM Images of FinFET." In ISTFA 2014. ASM International, 2014. http://dx.doi.org/10.31399/asm.cp.istfa2014p0327.

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Abstract The FinFET has been introduced in the last decade to provide better transistor performance as the device size shrinks. The performance of FinFET is highly sensitive to the size and shape of the fin, which needs to be optimized with tighter control. Manual measurement of nano-scale features on TEM images of FinFET is not only a time consuming and tedious task, but also prone to error owing to visual judgment. Here, an auto-metrology approach is presented to extract the measured values with higher precision and accuracy so that the uncertainty in the manual measurement can be minimized. Firstly, a FinFET TEM image is processed through an edge detecting algorithm to reveal the fin profile precisely. Finally, an algorithm is utilized to calculate out the required geometrical data relevant to the FinFET parameters and summarizes them to a table or plots a graph based on the purpose of data interpretation. This auto-metrology approach is expected to be adopted by academia and/or industry for proper data analysis and interpretation with higher precision and efficiency.
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Chen, Yong-Hua, Richard Bloemenkamp, Peter Schlicht, Lin Liang, and Laetitia Comparon. "INVERSION-BASED MEASUREMENT INTERPRETATION OF A NEW THROUGH-THE-BIT OBM PHOTOREALISTIC BOREHOLE IMAGER." In 2021 SPWLA 62nd Annual Logging Symposium Online. Society of Petrophysicists and Well Log Analysts, 2021. http://dx.doi.org/10.30632/spwla-2021-0080.

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A new 2 1/8-in. outer-diameter photorealistic imager for oil-based muds (OBM) has recently started field testing in unconventional formations in North America. To obtain the best interpretation of its measurements, a two-step quantitative inversion workflow has been developed with a performance similar to the existing inversion workflows for the regular high-definition OBM imagers. The new inversion workflow provides borehole resistivity images, borehole rugosity images, and borehole dielectric permittivity images as well as multiple quality curves. The modeling of the new borehole imager is performed with a 2D axisymmetric finite element code. An efficient forward model is developed by fitting the tool response tables into fourth-order polynomials in terms of the sensor standoff, formation, and mud impedivities for broad ranges of model parameters. The fast forward model based on the polynomial fitting is calibrated against the actual tool measurements in a laboratory setup and applied in the inversion algorithms. The inversion workflow is tested with synthetic data and the inverted model parameters are compared with their true values to study and analyze their corresponding measurement sensitivity and optimize the inversion input parameters. It is used to invert several field test datasets in unconventional wells. The results show that the inversion results provide critical added value for formation evaluation, showing geological features that would otherwise be missed, such as fracture properties. Projection-based formation impedivity images, as available for the regular high-definition OBM imagers, are ideal for conductive formations but suffer from a rollover effect in resistive formations. In comparison, the image formed from the inverted formation resistivity does not roll over and is more consistent for resistive formations. The image formed by the inverted standoff reflects surface conditions of the borehole and can be used to interpret whether the fractures and the faults are open, closed, or damaged in the drilling process. Multiple image examples are given from unconventional wells to demonstrate that the inverted standoff image can reveal fractures when there is insufficient or even no contrast in medium properties. The inverted standoff image also serves as a diagnostic tool for interpreting borehole and tool conditions during the measurements. The inverted permittivity may have a larger dynamic range than the resistivity especially for unconventional formations, thus providing an alternative and potentially clearer borehole image.
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Donadello, Ivan, Luciano Serafini, and Artur d'Avila Garcez. "Logic Tensor Networks for Semantic Image Interpretation." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/221.

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Semantic Image Interpretation (SII) is the task of extracting structured semantic descriptions from images. It is widely agreed that the combined use of visual data and background knowledge is of great importance for SII. Recently, Statistical Relational Learning (SRL) approaches have been developed for reasoning under uncertainty and learning in the presence of data and rich knowledge. Logic Tensor Networks (LTNs) are a SRL framework which integrates neural networks with first-order fuzzy logic to allow (i) efficient learning from noisy data in the presence of logical constraints, and (ii) reasoning with logical formulas describing general properties of the data. In this paper, we develop and apply LTNs to two of the main tasks of SII, namely, the classification of an image's bounding boxes and the detection of the relevant part-of relations between objects. To the best of our knowledge, this is the first successful application of SRL to such SII tasks. The proposed approach is evaluated on a standard image processing benchmark. Experiments show that background knowledge in the form of logical constraints can improve the performance of purely data-driven approaches, including the state-of-the-art Fast Region-based Convolutional Neural Networks (Fast R-CNN). Moreover, we show that the use of logical background knowledge adds robustness to the learning system when errors are present in the labels of the training data.
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