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Proceedings of the IADIS International conferences - Computer Graphics, visualization, Computer Vision and Image processing 2010, CGVCVIP 2010, visual communication 2010: Creative Industries, Photography and Culture, VC 2010, Web Virtual Reality and Three-Dimensional Worlds 2010, Web3DW 2010, Part of the IADIS Multi conference on Computer Science and information Systems 2010, MCCSIS 2010

Proceedings of the IADIS International Conferences - Compute...

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IADIS Int. Conf. - Computer Graphics, visualization, Computer Vision and Image processing, CGVCVIP 2010, visual Commun., VC 2010, Web Virtual Reality and Three-Dimensional Worlds, Web3DW 2010, Part of the MCCSIS 2010

ISBN: (纸本)9789728939229

The proceedings contain 82 papers. The topics discussed include: GPU-aware hybrid terrain rendering;time-curvature and time-torsion of virtual bubbles as fluid mixing indicators;a repartition structure for collision detection and deformation of discrete objects based on 3D wavelets;volume-based diffuse global illumination;contraction theory as method for the analysis and design of the stability of collective behavior in crowds;balloon cut layout based on a 3D balloon model;efficient virtual plant data structure for visualization and animation;comparison of bilateral filtering strategies for video processing in color and depth;marker-less computer vision tracking for augmented reality;a novel edge detection method based on image energy and skewness with application to intramuscular fat recognition;and texture feature representation on a coordinate system for efficient pattern classification.

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In-person, video conference, or audio conference? Examining individual and dyadic information processing as a function of communication system

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JOURNAL OF communication 2024年第2期74卷 117-129页

作者： Han, Jingjing Cores-Sarria, Lucia Zhou, Han Fudan Univ Sch Journalism Shanghai Peoples R China Fudan Univ Inst Global Commun & Integrated Media Shanghai Peoples R China Fudan Univ Key Lab Data Sci Shanghai Peoples R China Univ Southern Denmark Digital Democracy Ctr Odense Denmark Univ Wisconsin Dept Commun Arts Madison WI USA

The wide use of virtual communication has raised a need to understand its effect on communication effectiveness and the ways its different forms influence users' information processing. To that end, this study proposes the Dynamical Interpersonal communication Systems Model and posits that the amount of information directly perceived affects individual and dyadic information processing. This proposition is tested by examining how visual information influences physiological patterns, known to underlie information processing, during in-person, video, and audio-only conferences. Results indicate that while audio-only communication sustained emotional intensity better, visual-based communication required less initial cognitive effort. visual information in combination with physical presence (in-person communication) resulted in consistently lower cognitive effort and stronger synchronization of positive emotions, compared to contexts involving visual but without embodied information (video communication). This study shows the importance of investigating interpersonal communication simultaneously across multiple systems and at the intra- and inter-personal levels.

关键词： video conference virtual communication interpersonal synchrony information processing cognitive effort

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Proc. of the IADIS Int. Conf. - Computer Graphics, Visualiza...

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Proc. of the IADIS Int. Conf. - Computer Graphics, visualization, Computer Vision and Image processing, CGVCVIP 2010, visual Commun., VC 2010, Web3DW 2010, Part of the MCCSIS 2010 2010年 xiii-xiv页

作者： Xiao, Yingcai Muffoletto, Roberto Amon, Tomaz Kommers, Piet Isaías, Pedro Ifenthaler, Dirk Chen, Nian-Shing University of Akron United States College of Education Appalachian State University United States Amnim Center for Scientific Visualization Ljubljana Slovenia University of Twente Netherlands Portugal Albert-Ludwigs-Universität Freiburg Germany National Sun Yat-sen University Taiwan

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Computer graphics and image processing techniques based on visual communication design 4

Computer graphics and image processing techniques based on v...

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4th International conference on Computer Vision, Application, and Algorithm, CVAA 2024

作者： Chen, Zhaoguo College of Arts Shandong Agricultural Engineering University Shandong Province Jinan250103 China

ISBN: (数字)9781510687622

ISBN: (纸本)9781510687615

To fully harness the capabilities of computer graphics and image processing technologies and elevate the quality of visual communication design, this paper presents a comprehensive suite of innovative methodologies. Firstly, the fundamental principles of primary colors are utilized to formulate a series of vector functions, facilitating the precise calculation of error distances and the establishment of an intricate visual communication zoning model. Subsequently, through the exhaustive extraction of pertinent feature information from graphics and images, we achieve the scientific encoding of coefficient-constrained features and determine the corresponding hyperplanes to acquire the relevant parameters for visual communication. Eventually, the implementation of advanced design image expression algorithms markedly enhances the effectiveness of visual communication image representation. The empirical findings reveal that these visual communication design methods exhibit remarkable reliability and feasibility, effectively boosting image recognition accuracy across four distinct image categories with varying levels of complexity, thereby yielding exceptional visual communication outcomes. © 2025 SPIE.

关键词： Design visual communications visualization Computer graphics Image processing Image storage Color Image segmentation Image enhancement

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ICCIP 2023 - 2023 the 9th International conference on communication and information processing

ICCIP 2023 - 2023 the 9th International Conference on Commun...

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9th International conference on communication and information processing, ICCIP 2023

ISBN: (纸本)9798400708909

The proceedings contain 96 papers. The topics discussed include: multi-scale pedestrian detection based on attention mechanism and feature fusion;statistical characteristics-based multi-scale image feature extraction;a fine-grained biometric image recognition method based on transformer;multi-scale global consistency residue feature enhancement based protein structure analysis;cover song identification technologies: a survey;license plate recognition algorithms for complex situations;a survey of facial detection and recognition methods for cartoon characters;a matrix coding genetic algorithm based on memristor for image edge detection;joint semantic graph and visual image retrieval guided video copy detection;space target spin motion recognition based on 3D convolutional networks;teaching neural networks to imitate human habits for recognizing anime characters;and design of intelligent indoor rowing training pool digitization system based on multisource data fusion.

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Fully Optical Integrated Mixture-of-Experts System 24

Fully Optical Integrated Mixture-of-Experts System

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4th International conference on Signal processing and communication Technology, SPCT 2024

作者： Li, Chen Shandong Massive Information Technology Research Institute Shandong Jinan China

ISBN: (纸本)9798400710636

A fully optically integrated Mixture-of-Experts (MoE) system is introduced to address the explosive growth in computational power demands in the development of artificial intelligence technologies. Here, we highlights the potential of optical computing in solving communication challenges for MoE models and proposes a fully optically integrated MoE system. This system integrates on-chip subwavelength diffraction units (SWU) as expert models and uses Mach-Zehnder interferometers (MZI) as gating and tuning modules to achieve system integration. The system not only solves the technical issue of on-chip training difficulty in existing optical diffraction computing models but also overcomes the performance limitations of optical interference computing models. By combining the advantages of both, it enhances the performance of optical computing models and the scalability of optical systems. Finally, the article validates the feasibility of the system in visual tasks through simulation experiments and demonstrates the simulation results of signal input and output using MZI, proving the feasibility of the scheme. © 2024 Copyright held by the owner/author(s).

关键词： Mach-Zehnder interferometers

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SmartCML: A visual Modeling Language to Enhance the Comprehensibility of Smart Contract Implementations 17th

SmartCML: A Visual Modeling Language to Enhance the Compre...

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17th IFIP 8.1 Working conference on the Practice of Enterprise Modeling, PoEM 2024

作者： Curty, Simon Fill, Hans-Georg Digitalization and Information Systems Group University of Fribourg Bd de Pérolles 90 Fribourg1700 Switzerland

ISBN: (纸本)9783031779077

One of the most notable capabilities of blockchain technology, exemplified by the Ethereum platform, is the decentralized execution of deterministic code, commonly referred to as smart contracts. This can be employed to develop business services that capitalize on the unique properties of blockchain technology, including the ability to maintain immutable, transparent, and persistent records on a distributed ledger. Nevertheless, even experts may find the process of writing smart contracts challenging. In addition to cost, optimization, and security concerns, it is essential to ensure that the smart contracts align with the business case and the associated rules. To address this issue, we propose SmartCML, a domain-specific visual modeling language to draft smart contracts, with the primary objective of facilitating the communication of the codified information among relevant stakeholders. The modeling language has been implemented using the ADOxx metamodeling platform. Smart contract models can then be transformed into fully functional code for the Ethereum virtual machine. The application of the modeling language is demonstrated with the help of two use cases. © IFIP International Federation for information processing 2025.

关键词： Smart contract

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Research on Multi-class Fine Motor Intention Recognition of Hands 24

Research on Multi-class Fine Motor Intention Recognition of ...

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4th International conference on Signal processing and communication Technology, SPCT 2024

作者： Yang, Yang Yan, Bian Miao, Sun Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin Vocational and Technical Normal University Tianjin China

ISBN: (纸本)9798400710636

To address the problem of poor precision of fine motor intention recognition, which is difficult to apply to the field of neural rehabilitation, this paper designed a bilateral motor imagery (MI) paradigm using dynamic visual imagery: There were four kinds of motor intentions: left hand to finger, left hand to grip, right hand to finger, right hand to grip. Time-frequency map, brain topographic map and R2 coefficient were used to analyze the divisibility features among different categories. FBCSP (filter bank - common space model) and SVM (support vector machine) models were used to classify the fine motor intentions among various categories. The research results prove that the event-related desynchronization (ERD) features of multiple types of fine motor intentions in the same part are separable under the dynamic visual auxiliary stimulus paradigm. The average recognition accuracy of 4 types of fine motor intentions of 12 subjects can reach 63.7±3.67%, which is significantly higher than the random probability of 4 types. The experimental results show that the proposed method can effectively distinguish multiple types of fine motor intentions in the same part, and provide a new way for its application in the field of neurological rehabilitation. © 2024 Copyright held by the owner/author(s).

关键词： Neurons

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Morse Code Encryption: Securing visual information with Morse Transform 5th

Morse Code Encryption: Securing Visual Information with Mors...

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5th International conference on Data Science, Machine Learning and Applications

作者： Prashanthi, Bh Sai, A. Nikhil Datta Sravan, A. Joganandha Sai Sohan, M. Rohit, G. Gokaraju Rangaraju Inst Engn & Technol Comp Sci & Engn Hyderabad India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

Leveraging cutting-edge eye-tracking technology and machine learning algorithms, a real-time, non-invasive solution that empowers individuals with motor disabilities, allowing them to communicate seamlessly through natural eye movements. The project encompasses a comprehensive pipeline, starting with the collection of precise eye movement data using state-of-the-art eye-tracking hardware. It employs sophisticated image processing techniques to preprocess the acquired data, filtering out noise and detecting blink patterns accurately. This computer vision project not only showcases the potential of eye blink detection for text-based communication but also highlights the importance of innovative solutions that empower individuals with physical limitations to interact with technology effortlessly. Our recommended approach is continually used to test the effects of light and the distance between a user's eyes and a mobile device to assess the exact position, according to test results, offers 90% general exactness and 100% recognition accuracy for a distance of 15 cm with a false light.

关键词： Blink Detection Morse Code Eye movement Tracking openCV

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Deep Learning for Speech Separation: A Comprehensive Review 3rd

Deep Learning for Speech Separation: A Comprehensive Review

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3rd International conference on Advances in information and communication Technology, ICTA 2024

作者： Thi, Duyen Nguyen Tan, Ha Minh Phung, Trung-Nghia Vu, Duc-Quang Thai Nguyen University of Information and Communication Technology Thai Nguyen Viet Nam Faculty of Information Technology Nguyen Tat Thanh University Ho Chi Minh City Viet Nam Department of Computer Science and Information Systems Thai Nguyen University of Education Thai Nguyen Viet Nam

ISBN: (纸本)9783031809422

Integrating deep learning in speech separation has revolutionized audio signal processing, impacting fields like speech recognition, audio-visual content creation, telecommunication, hearing aid technologies, etc. In time-frequency domain separation, models leverage amplitude and phase information while the waveform is used for training in the time-domain speech separation model. An emerging approach uses complex values, capturing intricate audio nuances for improved performance. Modern models prioritize speaker-independent separation, adapting to dynamic or unknown speaker identities. Their ability to simultaneously separate multiple speakers is crucial for applications like conference calls, overlapping dialogues, and surveillance. This review explores deep models in speech separation, offering insights into the time domain, and time-frequency domain strategies. We outline the current state of models and state-of-the-art learning methods for audio segmentation. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Frequency domain analysis

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