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13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) / International Conference on Computer Vision Theory and Applications (VISAPP)

作者： Martini, Chiara Noceti, Nicoletta Chessa, Manuela Barla, Annalisa Cella, Alberto Rollandi, Gian Andrea Pilotto, Alberto Verri, Alessandro Odone, Francesca Univ Genoa Dept Informat Bioengn Robot & Syst Engn Genoa Italy EO Osped Galliera Genoa Italy

ISBN: (纸本)9789897583063

The accurate estimation of frailty is an important objective to assess the overall well-being and to predict the risk of mortality of elderly. Such evaluation is commonly based on subjective quantities both from self-reported outcomes and occasional physicians evaluations, leading to possibly biased results. An objective and continuous frailty screening tool may be more appropriate for routine assessment. In this paper, we present a data driven method to evaluate one of the main aspect contributing to the frailty estimation, i.e. the motility of the subject. To this aim, we define a motility index, estimated following a visual computing approach analysing streams of RGB-D data. We provide an extensive experimental assessment performed on two sets of data acquired in a sensorised facility located within a local hospital. The results are in good agreement with the assessment manually performed by the physicians, nicely showing the potential of our approach.

关键词： visual computing Skeleton Data Motility Index Frailty Aging

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Scalable Distributed visual computing for Line-Rate Video Streams 18

Scalable Distributed Visual Computing for Line-Rate Video St...

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9th ACM Multimedia Systems Conference (MMSys)

作者： Song, Chen Chen, Jiacheng Shea, Ryan Sun, Andy Shriraman, Arrvindh Liu, Jiangchuan Simon Fraser Univ Burnaby BC Canada

ISBN: (纸本)9781450351928

The past decade has witnessed significant breakthroughs in the world of computer vision. Recent deep learning-based computer vision algorithms exhibit strong performance on recognition, detection, and segmentation. While the development of vision algorithms elicits promising applications, it also presents immense computational challenge to the underlying hardware due to its complex nature, especially when attempting to process the data at line-rate. To this end we develop a highly scalable computer vision processing framework, which leverages advanced technologies such as Spark Streaming and OpenCV to achieve line-rate video data processing. To ensure the greatest flexibility, our framework is agnostic in terms of computer vision model, and can utilize environments with heterogeneous processing devices. To evaluate this framework, we deploy it in a production cloud computing environment, and perform a thorough analysis on the system's performance. We utilize existing real-world live video streams from Simon Fraser University to measure the number of cars entering our university campus. Further, the data collected from our experiments is being used for real-time predictions of traffic conditions on campus.

关键词： Scalability visual computing Line-rate processing

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Numerical Analysis in visual computing What we can Learn from each Other

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VIETNAM JOURNAL OF MATHEMATICS 2018年第4期46卷 745-759页

作者： Ascher, Uri M. Huang, Hui Univ British Columbia Dept Comp Sci Vancouver BC V6T 1Z4 Canada Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen 518060 Peoples R China

visual computing is a wide area that includes computer graphics and image processing, where the "eye-ball norm" rules. This paper discusses two case studies involving numerical methods and analysis applied to this wide domain. The focus is on highlighting relative strengths in those intersection areas where there are many problems of interest both to numerical analysts and to researchers in the visual computing community. The first involves motion simulation and calibration of soft objects such as cloth, plants, and skin. The governing elastodynamics PDE system, discretized in space already at the variational level using co-rotated FEM, leads to a large, expensive to assemble, dynamical system in time, where the damped motion may mask highly oscillatory stiffness. Geometric integration and exponential time differencing ideas are making their way into visual computing research these days in search for more quantitative computations that are required for applications such as control and 3D printing. The other case study involves some image processing problems where there is a premium for local approaches that do not necessarily use underlying PDEs. The popular paradigm of solving a data fitting problem with a penalty term involving the gradient or higher derivatives of a function approximating the sought surface is employed in the visual community much less often than in the numerical analysis community. We explain why. Concepts are demonstrated and discussed.

关键词： visual computing Numerical analysis Image processing Elastodynamics Computer graphics

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visual computing and the Progress of Developing Countries

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IEEE COMPUTER GRAPHICS AND APPLICATIONS 2016年第2期36卷 22-23页

作者： Raposo, Alberto Musse, Soraia Raupp Gain, James Pontif Catholic Univ Rio de Janeiro Rio De Janeiro Brazil Pontif Catholic Univ Rio Grande do Sul Rio De Janeiro Brazil Univ Cape Town ZA-7700 Rondebosch South Africa Pontif Catholic Univ Rio de Janeiro Dept Informat Rio De Janeiro Brazil Pontif Catholic Univ Rio de Janeiro Tecgraf Tech Sci Software Dev Inst Rio De Janeiro Brazil Pontif Catholic Univ Rio Grande do Sul Dept Comp Sci Rio De Janeiro Brazil Univ Cape Town Dept Comp Sci ZA-7700 Rondebosch South Africa

In many cases, countries' successes can be attributed to technological advancements, and these advancements often in turn rely on informatics that encompass data, information, knowledge, information systems, and information and communication technologies. This special issue focuses on submissions describing innovative visual computing applications in areas related to the progress of developing countries. From a total of 18 submissions from Brazil, South Africa, and Mexico, the guest editors selected four representative articles that investigate image processing, computer vision, virtual reality, 3D user interaction, and games, all of which are related to different domains, such as industrial technology, HSE (health, safety and environment), knowledge acquisition, and public policy. [ABSTRACT FROM AUTHOR]

关键词： 3D user interaction computer graphics computer vision image processing serious games Special issues and sections virtual reality visual computing

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visual computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet

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IEEE COMPUTER GRAPHICS AND APPLICATIONS 2015年第2期35卷 26-40页

作者： Posada, Jorge Toro, Carlos Barandiaran, Inigo Oyarzun, David Stricker, Didier de Amicis, Raffaele Pinto, Eduardo B. Eisert, Peter Doellner, Jurgen Vallarino, Ivan, Jr. Vicomtech IK4 Fdn San Sebastian Spain German Res Ctr Artificial Intelligence DFKI Bonn Germany Fdn Graphitech Trento Italy Ctr Computacao Graf Lisbon Portugal Fraunhofer HHI Potsdam Germany Hasso Plattner Inst Potsdam Germany Mivtech Panama City Panama

A worldwide movement in advanced manufacturing countries is seeking to reinvigorate (and revolutionize) the industrial and manufacturing core competencies with the use of the latest advances in information and communications technology. visual computing plays an important role as the 'glue factor' in complete solutions. This article positions visual computing in its intrinsic crucial role for Industrie 4.0 and provides a general, broad overview and points out specific directions and scenarios for future research. [ABSTRACT FROM AUTHOR]

关键词： computer graphics computer vision cyber-physical systems digital manufacturing Digital systems Industrial Internet Industrial plants Industrie 4.0 industry 4.0 Internet Manufacturing visual computing

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visual computing Challenges of Advanced Manufacturing and Industrie 4.0

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IEEE COMPUTER GRAPHICS AND APPLICATIONS 2015年第2期35卷 21-25页

作者： Stork, Andre Tech Univ Darmstadt Fraunhofer Inst Comp Graph Res IGD Interact Engn Technol Darmstadt Germany

The (r)evolution in Industrie 4.0 is being accelerated by the wide adoption of networking and Internet technology into traditional industries such as manufacturing shop floors aiming at CPPS for future factories. Furthermore, advances in additive manufacturing, modeling systems, physics-based simulation, and the computational representation of materials has created a framework to enable new intelligent factories characterized by adaptability, resource efficiency, and ergonomics. This special issue serves to familiarize the computer graphics community with the Industrie 4.0 and Industrial Internet initiatives and mobilize more computer graphicists to initiate research and application development in this emerging and attractive area. [ABSTRACT FROM AUTHOR]

关键词： 3D modeling computer graphics computer vision Industrial Internet Industrie 4.0 Internet Manufacturing manufacturing applications Special issues and sections visual computing

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Dynamic emotional memory analysis in digital animation via expression recognition and scene atmosphere enhancement

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JOURNAL OF visual COMMUNICATION AND IMAGE REPRESENTATION 2025年 108卷

作者： Pu, Pengju Hao, Jianjun Ma, Dingding Yan, Jiangting Shaanxi Fash Engn Univ Art Design Coll Xian 712046 Peoples R China Shaanxi Fash Engn Univ Sci Res Off Xian 712046 Peoples R China

Digital animation serves as a crucial medium for conveying emotions and values. To grasp the emotional perspectives within digital animation, this paper introduces an emotional memory analysis approach grounded in dynamic features. Initially, leveraging the bidirectional alignment mechanism, a CNN-based expression recognition system is proposed to extract the expressive information of characters in the animation. Subsequently, a sentiment analysis technique tailored for enhancing single-frame animation scenes is presented, addressing the issue of atmosphere intensification in these scenes. Ultimately, by integrating expression information and atmosphere data, a sentiment analysis method focused on dynamic features is suggested to establish the emotional relationship between frames, thereby deriving the emotional value of digital animation. Experiments can conclude that our method can obtain the excellent results which are better than state-of-the-art and can realize the emotional polarity analysis of digital animation content.

关键词： visual computing Multimedia processing Digital animation Emotion polarity Dynamic feature

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Toward Human-centered XAIin Practice:A survey

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Machine Intelligence Research 2024年第4期21卷 740-770页

作者： Xiangwei Kong Shujie Liu Luhao Zhu Department of Data Science and Management Engineering School of ManagementZhejiang UniversityHangzhou 310058China

Human adoption of artificial intelligence(AI)technique is largely hampered because of the increasing complexity and opacity of AI *** AI(XAI)techniques with various methods and tools have been developed to bridge this gap between high-performance black-box AI models and human ***,the current adoption of XAI technique stil lacks"human-centered"guidance for designing proper solutions to meet different stakeholders'needs in XAI *** first summarize a human-centered demand framework to categorize different stakeholders into five key roles with specific demands by reviewing existing research and then extract six commonly used human-centered XAI evaluation measures which are helpful for validating the effect of *** addition,a taxonomy of XAI methods is developed for visual computing with analysis of method *** clearer human demands and XAI methods in mind,we take a medical image diagnosis scenario as an example to present an overview of how extant XAI approaches for visual computing fulfil stakeholders'human-centered demands in *** we check the availability of open-source XAI tools for stakeholders'*** survey provides further guidance for matching diverse human demands with appropriate XAI methods or tools in specific applications with a summary of main challenges and future work toward human-centered XAI in practice.

关键词： Artificial intelligence(AI)application explainable AI(XAI) human-centered design visual computing medical diagnosis.

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The Truchet Tile Grammar: A Generative System for Versatile Tile and Pattern Design

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NEXUS NETWORK JOURNAL 2024年第3期26卷 649-666页

作者： Walter, Natalie Ligler, Heather Gursoy, Benay Penn State Univ Dept Architecture University Pk PA 16802 USA Florida Atlantic Univ Sch Architecture Ft Lauderdale FL 33301 USA

This research presents the Truchet Tile Grammar, a generative system for crafting geometric tiles and patterns. Drawing its inspiration from the Truchet Tile, originally introduced by Sebastien Truchet in his seminal work M & eacute;moire sur les Combinaisons (1704) and later expanded upon by C.S. Smith in 'The Tiling Patterns of Sebastien Truchet and the Topology of Structural Hierarchy' (1987), this grammar establishes shape rules that translate Truchet's conceptual framework into a rule-based specification. The Truchet Tile Grammar comprises three distinct rule sets: 1) Two-Dimensional Tile Rules, 2) Two-Dimensional Pattern Rules, and 3) Extruded Tile Rules. When applied iteratively, this grammar generates extruded two-dimensional tiles. These rule sets can also be independently utilized based on specific design requirements, enhancing the adaptability and utility of this design system.

关键词： Shape grammars Tessellations/tilings Design analysis Transformations visual computing

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Machine learning based small bowel video capsule endoscopy analysis: Challenges and opportunities

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FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 2023年 143卷 191-214页

作者： Wahab, Haroon Mehmood, Irfan Ugail, Hassan Sangaiah, Arun Kumar Muhammad, Khan Univ Bradford Ctr Visual Comp Bradford England Natl Yunlin Univ Sci & Technol Int Grad Inst Artificial Intelligence Touliu 64002 Taiwan Lebanese Amer Univ Dept Elect & Comp Engn Byblos Lebanon Sungkyunkwan Univ Coll Comp & Informat Sch Convergence Dept Appl Artificial IntelligenceVisual Analyt Kn Seoul 03063 South Korea

Video capsule endoscopy (VCE) is a revolutionary technology for the early diagnosis of gastric disorders. However, owing to the high redundancy and subtle manifestation of anomalies among thousands of frames, the manual construal of VCE videos requires considerable patience, focus, and time. The automatic analysis of these videos using computational methods is a challenge as the capsule is un-tamed in motion and captures frames inaptly. Several machine learning (ML) methods, including recent deep convolutional neural networks approaches, have been adopted after evaluating their potential of improving the VCE analysis. However, the clinical impact of these methods is yet to be investigated. This survey aimed to highlight the gaps between existing ML-based research methodologies and clinically significant rules recently established by gastroenterologists based on VCE. A framework for interpreting raw frames into contextually relevant frame-level findings and subsequently merging these findings with meta-data to obtain a disease-level diagnosis was formulated. Frame-level findings can be more intelligible for discriminative learning when organized in a taxonomical hierarchy. The proposed taxonomical hierarchy, which is formulated based on pathological and visual similarities, may yield better classification metrics by setting inference classes at a higher level than training classes. Mapping from the frame level to the disease level was structured in the form of a graph based on clinical relevance inspired by the recent international consensus developed by domain experts. Furthermore, existing methods for VCE summarization, classification, segmentation, detection, and localization were critically evaluated and compared based on aspects deemed significant by clinicians. Numerous studies pertain to single anomaly detection instead of a pragmatic approach in a clinical setting. The challenges and opportunities associated with VCE analysis were delineated. A focus on maxim

关键词： Machine learning visual computing Deep learning Capsule endoscopy Small bowel Precision diagnostic

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