Relevant bibliographies by topics / Visual Computing (VIC)

Contents

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

Academic literature on the topic 'Visual Computing (VIC)'

Author: Grafiati
Published: 14 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Visual Computing (VIC)"

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Koch, C., H. T. Wang, and B. Mathur. "Computing motion in the primate's visual system." Journal of Experimental Biology 146, no. 1 (1989): 115–39. http://dx.doi.org/10.1242/jeb.146.1.115.

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Computing motion on the basis of the time-varying image intensity is a difficult problem for both artificial and biological vision systems. We will show how one well-known gradient-based computer algorithm for estimating visual motion can be implemented within the primate's visual system. This relaxation algorithm computes the optical flow field by minimizing a variational functional of a form commonly encountered in early vision, and is performed in two steps. In the first stage, local motion is computed, while in the second stage spatial integration occurs. Neurons in the second stage repres
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Xue-Ming, Li, Li Fang-Hua, and Fan Hai-Fu. "A revised version of the program VEC (visual computing in electron crystallography)." Chinese Physics B 18, no. 6 (2009): 2459–63. http://dx.doi.org/10.1088/1674-1056/18/6/056.

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Mahamad Amin, Nurrul Akma, Nilam Nur Amir Sjarif, and Siti Sophiayati Yuhaniz. "A Review of Convolutional Neural Network Model for Audio-Visual Features Extraction in Personality Traits Recognition." International Journal of Innovative Computing 15, no. 1 (2025): 45–52. https://doi.org/10.11113/ijic.v15n1.498.

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In the field of personality computing research, the analysis on audio-visual input is predominantly used to detect human personality behaviors. With the advancement of computer vision technology, there has been significant enhancement in personality computing. Personality trait recognition is one of the applications under personality computing where the machine can analyze human behaviors and recognize personality traits via video analysis. In video input, there are different audio-visual features characteristics, consisting of visual (images) and audio (sounds) elements. Therefore, it is crit
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Wu, Wei, Shicheng Luo, and Hongying Wang. "Design of an automatic landscape design system in smart cities based on vision computing." Mathematical Biosciences and Engineering 20, no. 9 (2023): 16383–400. http://dx.doi.org/10.3934/mbe.2023731.

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<abstract><p>In future smart cities, automatic landscape design can be viewed as a promising intelligent application to reduce the reliance on expert labors. As it is a kind of visual sensing activity, it is expected to develop a robust interaction platform with strong ability of visual information fusion. To deal with this issue, this paper integrates vision computing, and designs an automatic landscape design system in smart cities. The whole design framework can be attributed as three aspects of works: function analysis, structure design and implementation. Among, the visual inf
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Nagasubramaniam, Piyush, Chen Wu, Yuanyi Sun, Neeraj Karamchandani, Sencun Zhu, and Yongzhong He. "Privacy-Preserving Live Video Analytics for Drones via Edge Computing." Applied Sciences 14, no. 22 (2024): 10254. http://dx.doi.org/10.3390/app142210254.

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The use of lightweight drones has surged in recent years across both personal and commercial applications, necessitating the ability to conduct live video analytics on drones with limited computational resources. While edge computing offers a solution to the throughput bottleneck, it also opens the door to potential privacy invasions by exposing sensitive visual data to risks. In this work, we present a lightweight, privacy-preserving framework designed for real-time video analytics. By integrating a novel split-model architecture tailored for distributed deep learning through edge computing,
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Wang, Jinyong, Yangming Leng, Tiancheng Zhao, Chunmei Li, Deen Gu, and Wei Li. "SnO2-Based Optoelectronic Synapses for Artificial Visual Applications." Journal of Physics: Conference Series 2524, no. 1 (2023): 012011. http://dx.doi.org/10.1088/1742-6596/2524/1/012011.

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Abstract Optoelectronic synapse units have been drawing a strong interest lately due to their obvious crucial role in the evolution of optoelectronic integration-based neuromorphic computing. Here, optoelectronic synaptic devices are fabricated based on stannic oxide (SnO2) film and with the structure of ITO/SnO2/P++-Si. Using optical stimulation, we found that the synaptic sandwich devices are highly responsive and exhibit fast switching behavior. These optically stimulated synaptic devices accurately could imitate synaptic functions, including paired-pulse facilitation (PPF), excitatory post
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Li, XiaoYong, QinYang Yu, Yong Zhang, JinWei Dai, and BaoCai Yin. "Visual Analytic Method for Students’ Association via Modularity Optimization." Applied Sciences 10, no. 8 (2020): 2813. http://dx.doi.org/10.3390/app10082813.

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Students spend most of their time living and studying on campus, especially in Asia, and they form various types of associations in addition to those with classmates and roommates. It is necessary for university authorities to master these types of associations, so as to provide appropriate services, such as psychological guidance and academic advice. With the rapid development of the “smart campus,” many kinds of student behavior data are recorded, which provides an unprecedented opportunity to deeply analyze students’ associations. In this paper, we propose a visual analytic method to constr
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Hokkanen, J. E. "Visual simulations, artificial animals and virtual ecosystems." Journal of Experimental Biology 202, no. 23 (1999): 3477–84. http://dx.doi.org/10.1242/jeb.202.23.3477.

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This review is about a field that does not traditionally belong to biological sciences. A branch of computer animation has its mission to create active self-powered objects living artificial lives in the theoretical biology zone. Selected work, of particular interest to biologists, is presented here. These works include animated simulations of legged locomotion, flexible-bodied animals swimming and crawling, artificial fish in virtual ecosystems, automated learning of swimming and the evolution of virtual creatures with respect to morphology, locomotion and behaviour. The corresponding animati
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Mamta, Abdullah Fatima, Mayank Deep Khare Mr., and Chandra Shekhar Yadav Dr. "Secure Data Transmission in Cloud Environment Using Criticality with Visual Cryptography and Genetic Algorithm." European Journal of Advances in Engineering and Technology 5, no. 11 (2018): 858–66. https://doi.org/10.5281/zenodo.10727250.

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<strong>ABSTRACT</strong> Now a day&rsquo;s Cloud Computing is the great concept in the development of an on-demand network which provides access to a common pool of configurable resources. Unique feature of cloud computing is its security. Sharing of data is an imperative functionality in cloud storage. In Cloud computing environment the sharing of data and transfer has increased exponentially. There are the various factors in data security like integrity, confidentiality, and authentication services. Maintaining secrecy and protection for critical data are highly challenging, particularly wh
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Naranjo, Diana M., José R. Prieto, Germán Moltó, and Amanda Calatrava. "A Visual Dashboard to Track Learning Analytics for Educational Cloud Computing." Sensors 19, no. 13 (2019): 2952. http://dx.doi.org/10.3390/s19132952.

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Cloud providers such as Amazon Web Services (AWS) stand out as useful platforms to teach distributed computing concepts as well as the development of Cloud-native scalable application architectures on real-world infrastructures. Instructors can benefit from high-level tools to track the progress of students during their learning paths on the Cloud, and this information can be disclosed via educational dashboards for students to understand their progress through the practical activities. To this aim, this paper introduces CloudTrail-Tracker, an open-source platform to obtain enhanced usage anal
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Dissertations / Theses on the topic "Visual Computing (VIC)"

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Hernandez, Cherstin, and Maya Kronman. "Feedback på din hemmaträning : En analys av designförslag för ett korrigerande verktyg via projektion." Thesis, Högskolan Kristianstad, Fakulteten för ekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-22002.

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I denna uppsats jämförs designförslag för visuell korrigerande feedback via projektor i hemmatränings miljö för att se vilken design och vilka design kombinationer som skulle vara användbart och tydligast att förstå för en användare. I och med covid 19 har det lett till att det är mer aktuellt att träna hemifrån istället för på gym för att minska smittrisken. Men i och med att det ofta inte finns samma stödjande verktyg hemma som på gym (ex. speglar och instruktörer) så kan det leda till att övningar utförs fel och kan leda till skador. Tidigt inne i utforskandet av digitala verktyg för hemmat
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Borke, Lukas. "Dynamic Clustering and Visualization of Smart Data via D3-3D-LSA." Doctoral thesis, Humboldt-Universität zu Berlin, 2017. http://dx.doi.org/10.18452/18307.

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Mit der wachsenden Popularität von GitHub, dem größten Online-Anbieter von Programm-Quellcode und der größten Kollaborationsplattform der Welt, hat es sich zu einer Big-Data-Ressource entfaltet, die eine Vielfalt von Open-Source-Repositorien (OSR) anbietet. Gegenwärtig gibt es auf GitHub mehr als eine Million Organisationen, darunter solche wie Google, Facebook, Twitter, Yahoo, CRAN, RStudio, D3, Plotly und viele mehr. GitHub verfügt über eine umfassende REST API, die es Forschern ermöglicht, wertvolle Informationen über die Entwicklungszyklen von Software und Forschung abzurufen. Unsere Arbei
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Agus, Marco. "Haptic and visual simulation of bone dissection." Tesi, 2004. http://hdl.handle.net/11050/784.

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Tesi di dottorato: Università degli Studi di Cagliari, Facoltà di Ingegneria, Dipartiemnto di Ingegneria Meccanica, XV Ciclo di Dottorato in Progettazione Meccanica.<br>In bone dissection virtual simulation, force restitution represents the key to realistically mimicking a patient--specific operating environment. The force is rendered using haptic devices controlled by parametrized mathematical models that represent the bone--burr contact. This dissertation presents and discusses a haptic simulation of a bone cutting burr, that it is being developed as a component of a training system for temp
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CHIANG, LIN HSING, and 林鋅江. "Design Of The Web Based Visual Framing System Base On JavaScript via the Cloud Computing Concept." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/68451495001883737356.

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碩士<br>國立臺北教育大學<br>數位科技設計學系(含玩具與遊戲設計碩士班)<br>101<br>With the progress of the times and technological advancement, information transmission and integration of applications is an indispensable part of modern life. The thought of "over the network people can quickly obtain the information they need", is no longer satisfactory. People want to not only get information over the network, but also to process and integrate information to get solutions at faster speed and lower cost. Scholars and the computing industry are making efforts toward such needs. And the concept of "cloud computing" is formed in
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Book chapters on the topic "Visual Computing (VIC)"

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Luigini, A., G. A. Massari, S. Vattano, C. Pellegatta, and F. Luce. "Visual Culture and Cultural Heritage: ViC-CH a Synthesis Between Digital Representation and Heritage Experience." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12240-9_32.

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Kotarski, Wiesław, Krzysztof Gdawiec, and Agnieszka Lisowska. "Polynomiography via Ishikawa and Mann Iterations." In Advances in Visual Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33179-4_30.

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Galasso, Fabio, and Joan Lasenby. "Shape from Texture Via Fourier Analysis." In Advances in Visual Computing. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89639-5_77.

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Yang, Xingwei, Nagesh Adluru, Longin Jan Latecki, Xiang Bai, and Zygmunt Pizlo. "Symmetry of Shapes Via Self-similarity." In Advances in Visual Computing. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89646-3_55.

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Ebrahimpour, Mohammad K., and David C. Noelle. "Fast Object Localization via Sensitivity Analysis." In Advances in Visual Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33723-0_17.

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Fan, Jianping, Hangzai Luo, Aoying Zhou, and Daniel A. Keim. "Personalized News Video Recommendation Via Interactive Exploration." In Advances in Visual Computing. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89646-3_37.

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Miller, Corey A., and Thomas J. Walls. "Passive 3D Scene Reconstruction via Hyperspectral Imagery." In Advances in Visual Computing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14249-4_39.

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Ma, Yunqian, S. B. Damelin, O. Masoud, and N. Papanikolopoulos. "Activity Recognition Via Classification Constrained Diffusion Maps." In Advances in Visual Computing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11919476_1.

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Wang, Tinghuai, Guangming Wang, Kuan Eeik Tan, and Donghui Tan. "Hyperspectral Image Classification via Pyramid Graph Reasoning." In Advances in Visual Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64556-4_55.

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Daptardar, Ajay H., and James A. Storer. "Content-Based Image Retrieval Via Vector Quantization." In Advances in Visual Computing. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11595755_61.

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Conference papers on the topic "Visual Computing (VIC)"

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Hrycak, Camilla, David Lewakis, and Jens Krüger. "Investigating the Apple Vision Pro Spatial Computing Platform for GPU-Based Volume Visualization." In 2024 IEEE Visualization and Visual Analytics (VIS). IEEE, 2024. https://doi.org/10.1109/vis55277.2024.00044.

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Tolie, Hamidreza Farhadi, Jinchang Ren, Rongjun Chen, and Huimin Zhao. "Protecting Visual Data Privacy in Offshore Industry via Underwater Image Inpainting." In 2024 9th International Conference on Image, Vision and Computing (ICIVC). IEEE, 2024. https://doi.org/10.1109/icivc61627.2024.10837433.

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Ueda, Ryo, Hiromi Narimatsu, Yusuke Miyao, and Shiro Kumano. "VAD Emotion Control in Visual Art Captioning via Disentangled Multimodal Representation." In 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE, 2024. https://doi.org/10.1109/acii63134.2024.00020.

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Lee, Changyeon, Dongju Yu, Soyeon Cho, et al. "Cost-Efficient and Effective Counter Unmanned Aerial System via Visual-Acoustic Sensing." In 2024 Eighth IEEE International Conference on Robotic Computing (IRC). IEEE, 2024. https://doi.org/10.1109/irc63610.2024.00011.

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Anik, Ariful Islam, and Andrea Bunt. "Supporting User Critiques of AI Systems via Training Dataset Explanations: Investigating Critique Properties and the Impact of Presentation Style." In 2024 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). IEEE, 2024. http://dx.doi.org/10.1109/vl/hcc60511.2024.00024.

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Volkov, Egor, Vadim Sechin, and Alexey Averkin. "Visual-Language Model Fine-Tuning via LoRA for Structed Medical Reports Generating for Lung X-Ray Skans." In 2025 XXVIII International Conference on Soft Computing and Measurements (SCM). IEEE, 2025. https://doi.org/10.1109/scm66446.2025.11060140.

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Sayta, Karina, and Dhanashri Wategaonkar. "SecureLayer: A Multi-Layered Architecture for Tamper-Proof File Sharing via Blockchain-Anchored Steganography and Visual Cryptography." In 2025 3rd International Conference on Inventive Computing and Informatics (ICICI). IEEE, 2025. https://doi.org/10.1109/icici65870.2025.11069751.

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T, Kevin, Manikandan M, Mega Sheyam S, and Poonkuzhali Ramadoss. "A Multilingual Framework Based on NLP for Disseminating Government Policies via Audio-Visual Content." In 2025 4th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0. IEEE, 2025. https://doi.org/10.1109/otcon65728.2025.11071214.

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Hebri, Dheeraj, Rakesh Kumar Joon, Mohan M, P. S. Ramapraba, Venkata Satish Dhulipudi, and Jonnadula Narasimharao. "Enhanced Audio-Visual Speech Enhancement via Attention-based Sparse Graph Convolutional Neural Networks with Fire Hawk Optimization." In 2024 3rd International Conference on Automation, Computing and Renewable Systems (ICACRS). IEEE, 2024. https://doi.org/10.1109/icacrs62842.2024.10841602.

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Sun, Zhongqian, Hongxun Yao, Shengping Zhang, and Xin Sun. "Robust visual tracking via context objects computing." In 2011 18th IEEE International Conference on Image Processing (ICIP 2011). IEEE, 2011. http://dx.doi.org/10.1109/icip.2011.6116564.

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