Relevant bibliographies by topics / Visual content modelling

Academic literature on the topic 'Visual content modelling'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Visual content modelling"

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Setyanto, Arief, and John Woods. "Hierarchical Visual Content Modelling and Query based on Trees." ELCVIA Electronic Letters on Computer Vision and Image Analysis 15, no. 2 (November 10, 2016): 40. http://dx.doi.org/10.5565/rev/elcvia.952.

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Bodrogi, Peter, Xue Guo, and Tran Quoc Khanh. "Brightness In The Photopic Range: Psychophysical Modelling With Blue-sensitive Retinal Signals." Light & Engineering, no. 05-2020 (October 2020): 9–24. http://dx.doi.org/10.33383/2020-018.

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The brightness perception of a large (41°) uniform visual field was investigated in a visual psychophysical experiment. Subjects assessed the brightness of 20 light source spectra of different chromaticities at two luminance levels, Lv=267.6 cd/m2 and Lv=24.8 cd/m2. The resulting mean subjective brightness scale values were modelled by a combination of the signals of retinal mechanisms: S-cones, rods, intrinsically photosensitive retinal ganglion cells (ipRGCs) and the difference of the L-cone signal and the M-cone signal. A new quantity, “relative spectral blue content”, was also considered for modelling. This quantity was defined as “the spectral radiance of the light stimulus integrated with the range (380–520) nm, relative to luminance”. The “relative spectral blue content” model could describe the subjective brightness perception of the observers with reasonable accuracy.
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Tchertov, Leonid. "On spatial modelling." Sign Systems Studies 43, no. 1 (June 10, 2015): 77–101. http://dx.doi.org/10.12697/sss.2015.43.1.04.

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Spatial modelling concerns both the case when spatial structures have a modelling function and the case when such structures become modelled objects. In the article, spatial models are considered as the means of human activity in both external and internal aspects. External spatial models are tangible objects which have structural similarity with something different from them and can represent it for a subject. These external models can be interpreted on various mental levels: sensorial, perceptual, apperceptual and conceptual ones. Each of them is connected with a peculiar way of internal modelling. Both external and internal spatial models can have a productive or a reproductive character, which depends on whether they serve as patterns for reproduction or if they are copies of originals. It is possible to consider external models as spatial texts if they can be divided into a plane of expression and a plane of content which are connected with each other by a semiotic system. In particular, such division can be revealed in depictions in which the two planes of both depicting and depicted spaces are open for the eye and their connection is regulated by indexes of a special perceptographic code. So, depictions can be treated as spatial texts interpreted firstly on the perceptual level of internal modelling and, secondly, on the higher mental levels by means of other visual-spatial codes.The article is divided into three parts. The first part contains a description of the basic concepts introduced in the author’s interpretation. In the second part, these concepts are applied to description of spatial modelling and its semiotic means. In the third part an important special case of spatial modelling – combination of mimetic and semiotic means in formation of depictions – is discussed.
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Wan, Quan, Ying Cai, Jason Samaha, and Bradley R. Postle. "Tracking stimulus representation across a 2-back visual working memory task." Royal Society Open Science 7, no. 8 (August 2020): 190228. http://dx.doi.org/10.1098/rsos.190228.

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How does the neural representation of visual working memory content vary with behavioural priority? To address this, we recorded electroencephalography (EEG) while subjects performed a continuous-performance 2-back working memory task with oriented-grating stimuli. We tracked the transition of the neural representation of an item ( n ) from its initial encoding, to the status of ‘unprioritized memory item' (UMI), and back to ‘prioritized memory item', with multivariate inverted encoding modelling. Results showed that the representational format was remapped from its initially encoded format into a distinctive ‘opposite' representational format when it became a UMI and then mapped back into its initial format when subsequently prioritized in anticipation of its comparison with item n + 2. Thus, contrary to the default assumption that the activity representing an item in working memory might simply get weaker when it is deprioritized, it may be that a process of priority-based remapping helps to protect remembered information when it is not in the focus of attention.
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Garcia, Noa, Mayu Otani, Chenhui Chu, and Yuta Nakashima. "KnowIT VQA: Answering Knowledge-Based Questions about Videos." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (April 3, 2020): 10826–34. http://dx.doi.org/10.1609/aaai.v34i07.6713.

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We propose a novel video understanding task by fusing knowledge-based and video question answering. First, we introduce KnowIT VQA, a video dataset with 24,282 human-generated question-answer pairs about a popular sitcom. The dataset combines visual, textual and temporal coherence reasoning together with knowledge-based questions, which need of the experience obtained from the viewing of the series to be answered. Second, we propose a video understanding model by combining the visual and textual video content with specific knowledge about the show. Our main findings are: (i) the incorporation of knowledge produces outstanding improvements for VQA in video, and (ii) the performance on KnowIT VQA still lags well behind human accuracy, indicating its usefulness for studying current video modelling limitations.
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Oszust, Mariusz. "A Regression-Based Family of Measures for Full-Reference Image Quality Assessment." Measurement Science Review 16, no. 6 (December 1, 2016): 316–25. http://dx.doi.org/10.1515/msr-2016-0040.

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Abstract The advances in the development of imaging devices resulted in the need of an automatic quality evaluation of displayed visual content in a way that is consistent with human visual perception. In this paper, an approach to full-reference image quality assessment (IQA) is proposed, in which several IQA measures, representing different approaches to modelling human visual perception, are efficiently combined in order to produce objective quality evaluation of examined images, which is highly correlated with evaluation provided by human subjects. In the paper, an optimisation problem of selection of several IQA measures for creating a regression-based IQA hybrid measure, or a multimeasure, is defined and solved using a genetic algorithm. Experimental evaluation on four largest IQA benchmarks reveals that the multimeasures obtained using the proposed approach outperform state-of-the-art full-reference IQA techniques, including other recently developed fusion approaches.
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Kasthuri Arachchi, Sandeli Priyanwada, Timothy K. Shih, and Noorkholis Luthfil Hakim. "Modelling a Spatial-Motion Deep Learning Framework to Classify Dynamic Patterns of Videos." Applied Sciences 10, no. 4 (February 21, 2020): 1479. http://dx.doi.org/10.3390/app10041479.

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Video classification is an essential process for analyzing the pervasive semantic information of video content in computer vision. Traditional hand-crafted features are insufficient when classifying complex video information due to the similarity of visual contents with different illumination conditions. Prior studies of video classifications focused on the relationship between the standalone streams themselves. In this paper, by leveraging the effects of deep learning methodologies, we propose a two-stream neural network concept, named state-exchanging long short-term memory (SE-LSTM). With the model of spatial motion state-exchanging, the SE-LSTM can classify dynamic patterns of videos using appearance and motion features. The SE-LSTM extends the general purpose of LSTM by exchanging the information with previous cell states of both appearance and motion stream. We propose a novel two-stream model Dual-CNNSELSTM utilizing the SE-LSTM concept combined with a Convolutional Neural Network, and use various video datasets to validate the proposed architecture. The experimental results demonstrate that the performance of the proposed two-stream Dual-CNNSELSTM architecture significantly outperforms other datasets, achieving accuracies of 81.62%, 79.87%, and 69.86% with hand gestures, fireworks displays, and HMDB51 datasets, respectively. Furthermore, the overall results signify that the proposed model is most suited to static background dynamic patterns classifications.
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Fingas, Merv, and Ben Fieldhouse. "HOW TO MODEL WATER-IN-OIL EMULSION FORMATION." International Oil Spill Conference Proceedings 2005, no. 1 (May 1, 2005): 647–54. http://dx.doi.org/10.7901/2169-3358-2005-1-647.

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ABSTRACT Water-in-oil mixtures were grouped into four states or classes: stable, mesostable, unstable, and entrained water. Only stable and mesostable states can be characterized as emulsions. These states were established according to lifetime, visual appearance, complex modulus, and differences in viscosity. Water-in-oil emulsions made from crude oils have different classes of stability as a result of the asp haltene and resin contents, as well as differences in the viscosity of the starting oil. In this paper a new numerical modelling scheme is proposed and is based on empirical data and the corresponding physical knowledge of emulsion formation. The density, viscosity, saturate, asphaltene and resin contents are used to compute a class index which yields either an unstable or entrained water-in-oil state or a meso-stable or stable emulsion. A prediction scheme is given to estimate the water content and viscosity of the resulting water-in-oil state and the time to formation with input of wave-height.
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Giovannini, E. C., M. Lo Turco, and A. Tomalini. "DIGITAL PRACTICES TO ENHANCE INTANGIBLE CULTURAL HERITAGE." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-M-1-2021 (August 28, 2021): 273–78. http://dx.doi.org/10.5194/isprs-archives-xlvi-m-1-2021-273-2021.

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Abstract. The term “cultural heritage” has been enriched with multiple contents in the last decades, partly thanks to the protection instruments developed by UNESCO. Despite the past, the cultural heritage is not limited to monuments and collections of objects. The term nowadays includes tangible and intangible cultural heritage (ICH). ICH includes traditions or living expressions inherited from our ancestors and passed on to our descendants, such as oral traditions, performing arts, social practices, rituals, festive events, knowledge and practices concerning nature and the universe or the knowledge and skills to produce traditional crafts. Within this context, the Museum of “Passione di Sordevolo” preserves and spreads the cultural and social value of the largest representation of popular Christian theatre in Italy, called “La Passione di Sordevolo”. The paper presents the results of the research of the reconstructive modelling and visual storytelling project called "Digital historical scenic design". The project explores the use of digital technologies to create new content compatible with the Museum’s mission: dissemination, communication and valorization of the documentary heritage (photographs, sketches, drawings) and the systematic collection of the oral tradition of this theatrical tradition.
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Rohama, Martina, and Esty Aryani Safithry. "Layanan Penguasaan Konten Dengan Teknik Sosial Modeling Untuk Mengurangi Perilaku Off Task Peserta Didik." Suluh: Jurnal Bimbingan dan Konseling 3, no. 1 (August 24, 2017): 22–27. http://dx.doi.org/10.33084/suluh.v3i1.515.

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The purpose of this study was to determine the effectiveness of content mastery services with social modelling techniques to reduce off-task behaviour of Islamic students. The design of this study uses Single Subject Design (SSD) with multiple large cross variables. The subjects in this study were 5 class II MI HIdayatul students in the 2015/2016 academic year indicated as students who were off task behaving tending to be high and moderate, each of which was identified from the rubric of freedom of observation, intervention, and experimental control. Data analysis uses visual analysis by paying attention to changes in levels and trends.
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Dissertations / Theses on the topic "Visual content modelling"

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Setyanto, Arief. "Hierarchical visual content modelling and query based on trees." Thesis, University of Essex, 2016. http://repository.essex.ac.uk/16903/.

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In recent years, such vast archives of video information have become available that human annotation of content is no longer feasible; automation of video content analysis is therefore highly desirable. The recognition of semantic content in images is a problem that relies on prior knowledge and learnt information and that, to date, has only been partially solved. Salient analysis, on the other hand, is statistically based and highlights regions that are distinct from their surroundings, while also being scalable and repeatable. The arrangement of salient information into hierarchical tree structures in the spatial and temporal domains forms an important step to bridge the semantic salient gap. Salient regions are identified using region analysis, rank ordered and documented in a tree for further analysis. A structure of this kind contains all the information in the original video and forms an intermediary between video processing and video understanding, transforming video analysis to a syntactic database analysis problem. This contribution demonstrates the formulation of spatio-temporal salient trees the syntax to index them, and provides an interface for higher level cognition in machine vision.
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Buchanan, Philip Hamish. "Artistic Content Representation and Modelling based on Visual Style Features." Thesis, University of Canterbury. Computer Science and Software Engineering, 2013. http://hdl.handle.net/10092/9225.

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This thesis aims to understand visual style in the context of computer science, using traditionally intangible artistic properties to enhance existing content manipulation algorithms and develop new content creation methods. The developed algorithms can be used to apply extracted properties to other drawings automatically; transfer a selected style; categorise images based upon perceived style; build 3D models using style features from concept artwork; and other style-based actions that change our perception of an object without changing our ability to recognise it. The research in this thesis aims to provide the style manipulation abilities that are missing from modern digital art creation pipelines.
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Volkmer, Timo, and timovolkmer@gmx net. "Semantics of Video Shots for Content-based Retrieval." RMIT University. Computer Science and Information Technology, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20090220.122213.

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Content-based video retrieval research combines expertise from many different areas, such as signal processing, machine learning, pattern recognition, and computer vision. As video extends into both the spatial and the temporal domain, we require techniques for the temporal decomposition of footage so that specific content can be accessed. This content may then be semantically classified - ideally in an automated process - to enable filtering, browsing, and searching. An important aspect that must be considered is that pictorial representation of information may be interpreted differently by individual users because it is less specific than its textual representation. In this thesis, we address several fundamental issues of content-based video retrieval for effective handling of digital footage. Temporal segmentation, the common first step in handling digital video, is the decomposition of video streams into smaller, semantically coherent entities. This is usually performed by detecting the transitions that separate single camera takes. While abrupt transitions - cuts - can be detected relatively well with existing techniques, effective detection of gradual transitions remains difficult. We present our approach to temporal video segmentation, proposing a novel algorithm that evaluates sets of frames using a relatively simple histogram feature. Our technique has been shown to range among the best existing shot segmentation algorithms in large-scale evaluations. The next step is semantic classification of each video segment to generate an index for content-based retrieval in video databases. Machine learning techniques can be applied effectively to classify video content. However, these techniques require manually classified examples for training before automatic classification of unseen content can be carried out. Manually classifying training examples is not trivial because of the implied ambiguity of visual content. We propose an unsupervised learning approach based on latent class modelling in which we obtain multiple judgements per video shot and model the users' response behaviour over a large collection of shots. This technique yields a more generic classification of the visual content. Moreover, it enables the quality assessment of the classification, and maximises the number of training examples by resolving disagreement. We apply this approach to data from a large-scale, collaborative annotation effort and present ways to improve the effectiveness for manual annotation of visual content by better design and specification of the process. Automatic speech recognition techniques along with semantic classification of video content can be used to implement video search using textual queries. This requires the application of text search techniques to video and the combination of different information sources. We explore several text-based query expansion techniques for speech-based video retrieval, and propose a fusion method to improve overall effectiveness. To combine both text and visual search approaches, we explore a fusion technique that combines spoken information and visual information using semantic keywords automatically assigned to the footage based on the visual content. The techniques that we propose help to facilitate effective content-based video retrieval and highlight the importance of considering different user interpretations of visual content. This allows better understanding of video content and a more holistic approach to multimedia retrieval in the future.
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Rihl, Luiz Fernando. "Daylight and visual perception : an investigation of retrofitted building elements for the enhancement of daylight and the modelling of objects with reference to the Brazilian context." Thesis, Open University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284378.

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Leung, Raymond Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Scalable video compression with optimized visual performance and random accessibility." Awarded by:University of New South Wales. Electrical Engineering and Telecommunications, 2006. http://handle.unsw.edu.au/1959.4/24192.

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This thesis is concerned with maximizing the coding efficiency, random accessibility and visual performance of scalable compressed video. The unifying theme behind this work is the use of finely embedded localized coding structures, which govern the extent to which these goals may be jointly achieved. The first part focuses on scalable volumetric image compression. We investigate 3D transform and coding techniques which exploit inter-slice statistical redundancies without compromising slice accessibility. Our study shows that the motion-compensated temporal discrete wavelet transform (MC-TDWT) practically achieves an upper bound to the compression efficiency of slice transforms. From a video coding perspective, we find that most of the coding gain is attributed to offsetting the learning penalty in adaptive arithmetic coding through 3D code-block extension, rather than inter-frame context modelling. The second aspect of this thesis examines random accessibility. Accessibility refers to the ease with which a region of interest is accessed (subband samples needed for reconstruction are retrieved) from a compressed video bitstream, subject to spatiotemporal code-block constraints. We investigate the fundamental implications of motion compensation for random access efficiency and the compression performance of scalable interactive video. We demonstrate that inclusion of motion compensation operators within the lifting steps of a temporal subband transform incurs a random access penalty which depends on the characteristics of the motion field. The final aspect of this thesis aims to minimize the perceptual impact of visible distortion in scalable reconstructed video. We present a visual optimization strategy based on distortion scaling which raises the distortion-length slope of perceptually significant samples. This alters the codestream embedding order during post-compression rate-distortion optimization, thus allowing visually sensitive sites to be encoded with higher fidelity at a given bit-rate. For visual sensitivity analysis, we propose a contrast perception model that incorporates an adaptive masking slope. This versatile feature provides a context which models perceptual significance. It enables scene structures that otherwise suffer significant degradation to be preserved at lower bit-rates. The novelty in our approach derives from a set of "perceptual mappings" which account for quantization noise shaping effects induced by motion-compensated temporal synthesis. The proposed technique reduces wavelet compression artefacts and improves the perceptual quality of video.
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Renebo, Christine, Michelle Bergsell, and Agnes Göranzon. "Effekten av visuellt innehåll på sociala medier ur ett konsumentperspektiv." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-12659.

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The constantly evolving use of social media as a marketing tool is commonly known, and the opportunities for companies to get feedback about how successful their marketing is, have grown just as much. Today's companies take great financial risks when choosing marketing material in the traditional marketing way, but as the social network Instagram is free to use, the biggest risk here is to lose followers, and thus potential customers. This study aims to investigate what consumers actually want to see in the direct marketing they themselves have chosen to receive; what the consumers find most appealing and what makes them feel the greatest desire to buy. For this study seven semi-structured interviews were held with seven women all in the age between 16 and 25. They shared their everyday habits on the social media platform Instagram and were shown 15 Instagram pictures from five major fashion companies. The women expressed their spontaneous feelings when the pictures were shown, just as if the images had been found in their own Instagram feed. The images shown consisted of two, by us, defined messages divided into a five-degree scale, where the scale was ranked accordingly: extremely rational, rational, mixed, emotional and extremely emotional messages. The interviewees also commented on their preferences regarding the content of the pictures, if it was up to their own choosing. After analyzing all interviews, we have come to the conclusion that both the rational and the emotional image categories are preferable to the others. These two stand out from the five-degree scale as both more appealing and creating a greater desire to buy. The extreme ends of each category does not suit marketing on Instagram for different reasons. With this information, we hope to help companies with their marketing strategy on Instagram. This thesis is written in Swedish.
Användningen av sociala medier som marknadsföringsverktyg växer ständigt, och så även möjligheterna för företag att få återkoppling angående hur framgångsrik deras marknadsföring är. Dagens företag tar stora ekonomiska risker när de väljer marknadsföringsmaterial på det traditionella sättet, men när det på sociala mediet Instagram är gratis att skapa ett konto blir den största risken att förlora följare och därmed potentiella kunder. Den här studien undersöker vad konsumenter faktiskt önskar att se i den direktreklam de självmant väljer att följa, vad som mest tilltalar dem och vad som får dem att känna mest köplust. Studien består av sju semistrukturerade intervjuer med kvinnor i åldrarna 16-25 som berättar om sina vanor på det sociala mediet Instagram. De sju kvinnorna visades 15 Instagrambilder från fem stora modeföretag och fick uttrycka sina spontana känslor inför dessa, likt ifall bilderna hade funnits i intervjupersonernas Instagramflöde. Bilderna bestod av två budskap som var uppdelade på en femgradig skala, där skalan rangordnades efter kategorierna extremt rationellt, rationellt, mixat, emotionellt och extremt emotionellt budskap. Intervjupersonerna kommenterade även vilka preferenser de hade angående bildernas innehåll ifall de själva fick välja. Efter att ha analyserat alla intervjuer menar vi att både de rationella och de emotionella bildkategorierna är att föredra, de står ut på den femgradiga skalan som både mer tilltalande och mer skapande av köplust. De extrema kategorierna av båda budskapen passar inte marknadsföring på Instagram av olika skäl. Med den här informationen hoppas vi kan hjälpa företag med deras marknadsföringsstrategi på Instagram.
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Matulík, Martin. "Modelování a animace biologických struktur." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-377662.

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Following work deals with subject matter of digital modelling and animation of biological structures. Software tools for computer generated images (CGI), well proven in common practice, are evaluated, as well as tools for specific activities, available inside chosen software environment. Among vast pool of modelling approaches are discussed tools suitable for creation and representation of selected structures, along with tools essential for their consequent animation. Possible rendering approaches and their parameters in relation to qualities of resulting computer-generated images are discussed as well. Above-mentioned approaches will be consequently utilized for modelling, physical simulation and animation of erythrocyte’s flow throughout blood vessel in following project. Resulting output of that work will be based on series of digital images, suitable for creating video-sequence containing abovementioned animation in end-user digestible form.
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Books on the topic "Visual content modelling"

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Cingari, Salvatore, ed. Cultura democratica e istituzioni rappresentative. Florence: Firenze University Press, 2007. http://dx.doi.org/10.36253/978-88-8453-561-0.

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Il volume è un testo interdisciplinare a più autori che effettua una comparazione fra le due differenti vie novecentesche alla modernizzazione di Italia e Romania - variamente ispirate da modelli esterni di riferimento -, dal punto di vista politologico, culturale-politico, politico-istituzionale e politico-economico, con particolare riferimento al problema della rappresentanza. Il volume si compone di sei saggi di diversa ispirazione metodologica ed ideologica ma accomunati dalla tematizzazione dei contesti culturali e giuridico-politici dei due paesi, intesi come sistemi in "transizione", sospesi fra ricerca delle proprie caratteristiche storiche e l'attenzione ai modelli più avanzati del mondo occidentale.
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Dacome, Lucia. Malleable Anatomies. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198736189.001.0001.

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Malleable Anatomies examines the early stages of the practice of anatomical modelling. It investigates the ‘mania’ for anatomical displays that swept the Italian peninsula in the mid-eighteenth century, and traces the fashioning of anatomical models as important social, cultural, and political as well as medical tools. Anatomical models offered special insights into the inner body. Being coloured, soft, and malleable, they fostered anatomical knowledge in delightful ways. But how did anatomical models inscribe and mediate bodily knowledge? How did they change the way in which anatomical knowledge was created and communicated? And how did they affect the lives of those involved in their production, display, viewing, and handling? Examining the circumstances surrounding the making and early viewing of anatomical displays in Bologna, Naples, and Palermo, Malleable Anatomies addresses these questions by reconstructing how anatomical modelling developed at the intersection of medical knowledge, religious ritual, antiquarian and artistic cultures, and Grand Tour display. While doing so, it investigates the development of anatomical modelling in the context of the diverse visual and material practices that characterized the representation and display of the body. Drawing attention to the artisanal dimension of anatomical practice, and the role of women as both makers and users, it considers how anatomical models lay at the centre of a composite world of social interactions that led to the fashioning of modellers as anatomical celebrities. Moreover, it examines how anatomical displays transformed the proverbially gruesome practice of anatomy into an enthralling experience that engaged audiences’ senses and affects.
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Book chapters on the topic "Visual content modelling"

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Papushoy, Alex, and Adrian G. Bors. "Content Based Image Retrieval Based on Modelling Human Visual Attention." In Computer Analysis of Images and Patterns, 137–48. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23192-1_12.

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Qureshi, Haroon, and Nicolas Tizon. "Visual Attention Modelling in a 3D Context." In Novel 3D Media Technologies, 97–117. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-2026-6_6.

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Postle, Bradley R. "Cognitive Neuroscience of Visual Working Memory." In Working Memory, 333–57. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198842286.003.0012.

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This chapter takes the perspective that ‘working memory’ refers to a class of behaviours that can be accomplished by the coordinated recruitment of sensory-, representational-, action-, and control-related mechanisms and representations. There is no working memory system, per se. This idea is illustrated with findings from cognitive neuroscience, with an emphasis on studies of human working memory with functional magnetic resonance imaging and electroencephalography, and on simulations of human behaviour with recurrent neural network modelling. Understanding principles of attention and oculomotor control are central to understanding the selection of stimulus information and its retention ‘in’ working memory, as well as for the moment-to-moment prioritization of subsets of the contents of working memory. Recent research from a dynamical systems perspective suggests a principled framework for understanding how, and under what circumstances, knowledge from long-term memory is recruited to support working memory performance. An important challenge for contemporary cognitive neuroscience is to develop an accepted procedure for assessing when multiple regions can be shown to represent stimulus-specific information, whether these regions are all supporting the same function, or perhaps different functions that nonetheless all entail the active representation of the same information.
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Cookson, Richard, Susan Griffin, Ole F. Norheim, and Anthony J. Culyer. "Designing a distributional cost-effectiveness analysis." In Distributional Cost-Effectiveness Analysis, edited by Richard Cookson, Susan Griffin, Ole F. Norheim, and Anthony J. Culyer, 44–68. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198838197.003.0003.

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This chapter is a guide to designing a distributional cost-effective analysis (DCEA) for research commissioners and producers. It describes the main components of DCEA and how they can be combined in different ways to inform decision-making in various contexts. The appropriate design of a DCEA will depend on the objectives of the relevant decision-making authorities; the political, economic, and institutional environment, and the prevailing social norms in the population being served; as well as the resources available for the analysis. We start by reviewing key questions about the decision-making context and illustrate how the answers to those questions can shape the study design, using our training example of nicotine replacement therapy in England. We then present the equity-efficiency impact plane, a visual tool for illustrating the relationship between the impact of a decision on efficiency (e.g. net health benefit) and equity (e.g. reduction in unfair health inequality). We then go through the main components of DCEA, including simple, low-cost forms of equity analysis that may be useful when detailed bespoke modelling of distributional consequences is not a practical option.
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Casey, John, Kevin Brosnan, Wolfgang Greller, Allen Masson, Aine MacNeil, and Colette Murphy. "Designing for Change." In Handbook of Visual Languages for Instructional Design, 413–38. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-729-4.ch021.

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This chapter looks at the possible uses of visual forms of Instructional Design (ID) languages as possible ‘change agents’ for design practice in the public post-secondary education sector. A lot of work is being done in the technical realm of the standardisation and interoperability for Educational Modelling Languages (EMLs), but this is largely restricted to existing ID specialists that use ‘dialects’ of ID languages and schemes. This is important work but it does not address the vast majority of educators working in the post-secondary public educational sector whose design work is highly individualised and deeply embedded in rich institutional contexts. The challenge for visual ID languages and EMLs in general is how they can move beyond their current specialist niche applications to be useful to mainstream educators. In this chapter we argue that this development needs to happen along 2 related dimensions: (i) changes in the organisation of the educational workplace and related training – what might be termed ‘push factors’; and, (ii) the use of tools such as visual ID languages to support that change process at individual and group levels – what might be termed ‘pull’ factors. We shall be concentrating on this second dimension. Specifically, in this chapter we shall be looking at ideas for how we might apply visual ID languages as a support mechanism in helping educators externalise and share their design models and ideas in order to develop them into semi-formal abstractions that might be developed to feed into the use of EMLs. To ground these ideas, we shall be looking at the experiences of those who have tried these types of approaches in practice. Finally we discuss the effect this type of perspective might have on the future development of visual ID languages and related tools.
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Patnaik, K. Sridhar, and Itu Snigdh. "Modelling and Designing of IoT Systems Using UML Diagrams." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 36–61. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7790-4.ch003.

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Despite the rapid growth in IoT research, a general principled software engineering approach for the systematic development of IoT systems and applications is still missing. Software engineering as a discipline provides the necessary platform to carry on the underlying design, coding, implementation, as well as maintenance of such systems. UML diagrams present a visually comprehensible outlay of the construction of IoT systems. The chapter covers the modelling of IoT systems using UML diagrams. Starting with the architectural design of any IoT system to behavioral aspects is covered in this chapter using a case study of IoT-based remote patient health monitoring system. The diagrams shown in this chapter are the sample diagrams for understanding IoT-based complex systems. The chapter focuses on the work carried out by Franco Zambonelli in context of developing abstract model of an IoT system using software engineering concepts. The chapter also focus on the pioneer work carried by J. F. Peters in intelligent system design patterns for robotic devices using pattern classification.
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Conference papers on the topic "Visual content modelling"

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Urban, Maria, and Daina Vasilevska. "“Conflict of Goals” as a Barrier for Effective Use of Visual Models in Primary Math Education." In 14th International Scientific Conference "Rural Environment. Education. Personality. (REEP)". Latvia University of Life Sciences and Technologies. Faculty of Engineering. Institute of Education and Home Economics, 2021. http://dx.doi.org/10.22616/reep.2021.14.025.

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The formation of the ability to solve non-trivial life problems is one of the tasks of school education in the context of achieving sustainable development goals. In the process of teaching mathematics, one of the most effective ways to find solutions to problems is modelling – a teaching method that not only helps students to consciously assimilate mathematical content, but also forms the basis for selfstudy throughout life. Visual models, which reflect the essential characteristics of mathematical concepts by pictorial means, play a special role in the process of initial teaching of mathematics. Teachers can use active and passive techniques for working with visual models in mathematics lessons, which differ in the degree of children’s participation in building a visual model. The main goal of this article is to identify which techniques teachers prefer working with visual models in practice in mathematics lessons. To achieve this goal, the questionnaire method, the multi-criteria assessment method, and the moderation method were applied. This article presents the results of a study devoted to identifying teachers’ preferred methods of working with visual models when conducting mathematics lessons, identifying their theoretical ideas about the value of each group of techniques, as well as establishing the reasons for the revealed discrepancy between the practical preferences of teachers and their theoretical ideas.
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Košak, Karin, Deja Muck, Marjeta Čuk, and Tanja Nuša Kočevar. "3D printed jewellery design process based on sculpture inspiration." In 10th International Symposium on Graphic Engineering and Design. University of Novi Sad, Faculty of technical sciences, Department of graphic engineering and design,, 2020. http://dx.doi.org/10.24867/grid-2020-p57.

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In the article we present the educational process in which design students were guided through their design process, creating 3D printed jewellery inspired by the Forma Viva sculptures of the outdoor gallery Kostanjevica na Krki. The assignment was part of the international project Cumulus Re/Forma Viva, whose main goal was to implement digitization using 3D technology in the field of education for the preservation of cultural heritage. The task given to the 1st year masters students of Fashion and Textile Design at the Department of Textiles, Graphic arts and Design at the University of Ljubljana was to select a wooden sculpture and transform the visual and conceptual idea into a 3D printed jewellery collection. The curriculum of the course includes teaching the theoretical basics of 3D printing, 3D print design – fashion accessories and new production, business and marketing models as "disruptive" changes that result from this. In the practical part, students will learn the advanced design process of fashion accessory objects, including 3D technologies such as 3D modelling and 3D printing. Students are guided through a process in which selected visual and conceptual content is translated into fine jewellery that can be created using various 3D printing technologies. In this way, students tested themselves in two new areas that allowed them to expand their design knowledge and experience in 3D modelling and jewellery design with the goal of better "arming" themselves with the latest technologies for today's competitive world.
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Sheshkus, Alexander, and Vladimir Lovovich Arlazarov. "Space Symbol Detection On Complex Background Using Visual Context." In 29th Conference on Modelling and Simulation. ECMS, 2015. http://dx.doi.org/10.7148/2015-0532.

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Oliveira, Natalia, and Michele Carvalho. "Linguagem de Programação Visual dentro do Contexto BIM: Mapeamento Sistemático da Literatura." In 3º Congresso Português de 'Building Information Modelling'. Porto: FEUP, 2020. http://dx.doi.org/10.24840/978-972-752-272-9_0697-0706.

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de Morais, Cleber Matos, Patricia Endo, Sergej Svorobej, and Theo Lynn. "A Modelling Language for Defining Cloud Simulation Scenarios in RECAP Project Context." In 2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). IEEE, 2018. http://dx.doi.org/10.1109/vlhcc.2018.8506544.

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Malikova, Evgeniya, Valery Adzhiev, Oleg Fryazinov, and Alexander Pasko. "Visual-auditory Volume Rendering of Scalar Fields." In ICAD 2019: The 25th International Conference on Auditory Display. Newcastle upon Tyne, United Kingdom: Department of Computer and Information Sciences, Northumbria University, 2019. http://dx.doi.org/10.21785/icad2019.004.

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This paper describes a novel approach to visual-auditory volume rendering of continuous scalar fields. The proposed method uses well-established similarities in light transfer and sound propagation modelling to extend the visual scalar field data analysis with auditory attributes. We address the visual perception limitations of existing volume rendering techniques and show that they can be handled by auditory analysis. In particular, we describe a practical application to demonstrate how the proposed approach may keep the researcher aware of the visual perception issues in colour mapping and help track and detect geometrical features and symmetry break, issues that are important in the context of interpretation of the physical phenomena.
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Zhou, Yunzhan, Tian Feng, Shihui Shuai, Xiangdong Li, Lingyun Sun, and Henry B. L. Duh. "An Eye-Tracking Dataset for Visual Attention Modelling in a Virtual Museum Context." In VRCAI '19: The 17th International Conference on Virtual-Reality Continuum and its Applications in Industry. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3359997.3365738.

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Setiawati, NP, Darmawijoyo, and Y. Hartono. "Learning Mathematical Modelling: How to design visual-formed Student’s Worksheet Using Traditional Food Context." In 1st International Conference on Mathematics and Mathematics Education (ICMMEd 2020). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210508.063.

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Narayanan, Chidambaram, Siju Thomas, and Djamel Lakehal. "Statistical Modelling of Bubble Nucleation and Heat Transfer Using Interface Tracking in TransAT CMFD Code." In ASME 2010 8th International Conference on Nanochannels, Microchannels, and Minichannels collocated with 3rd Joint US-European Fluids Engineering Summer Meeting. ASMEDC, 2010. http://dx.doi.org/10.1115/fedsm-icnmm2010-30139.

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This paper presents results of numerical simulations of various processes that demonstrate phase change heat transfer at high heat fluxes using the level-set method. The model used for the purpose has been first validated for the growth of an evaporating bubble in infinite medium, and fim boiling in 2D and 3D. It has then been applied to simulate the nucleation and departure of a single bubble from a solid body subject to conductive heat transfer. Unlike our previous investigations where phase change induced evaporation rate was incorporated like a sub-grid scale heat transfer model applied to the triple contact line, the present work reports simulations with direct phase change modelling by integrating energy fluxes at the interface. The effect of the conductive heat transfer in the solid from which the bubble departs is also taken into account. Comparison with visual images suggests that accounting for conjugate heat transfer is important to capturing micro-hydrodynamics in nucleate boiling, at least qualitatively.
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Tanasi, Davide, Ilenia Gradante, and Mariarita Sgarlata. "3D DIGITAL TECHNOLOGIES TO RECORD EXCAVATION DATA: THE CASE OF THE CATACOMBS OF ST. LUCY (SIRACUSA, SICILY)." In ARQUEOLÓGICA 2.0 - 8th International Congress on Archaeology, Computer Graphics, Cultural Heritage and Innovation. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/arqueologica8.2016.3002.

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Between 2013 and 2015, Arcadia University in partnership with the Pontifical Commission for Sacred Archaeology and the University of Catania undertook new excavation campaigns in the Catacombs of St. Lucy at Siracusa. The research focuses on some very problematic parts of Region C of the complex, including Oratory C, the so-called Pagan Shrine and Crypt VI. These areas document most effectively the long life of this Christian hypogeum, which incorporated previous structures and artefacts related to the Greek period and continued to be used until the Middle Ages. During the excavation an array of 3D digital techniques (3D scanning, 3d Modelling, Image-based 3D modelling) was used for the daily recording of the archaeological units, but also to create high-resolution virtual replicas of certain districts of the catacombs. Furthermore, the same techniques were applied to support the study of certain classes of materials, such as frescoes and marble architectural elements that could otherwise only be studied in the dark environment of the catacombs, making the visual analysis of such complex artifacts difficult and sometimes misleading, not to mention that the frequent use of strong sources of light for study can also endanger them. The virtual archaeology research undertaken at the Catacombs of St. Lucy represents the first systematic application of 3D digital technologies to the study of such a special archaeological context in Sicily.
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