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检索条件"任意字段=Conference on Visual Information Processing and Communication IV"

共 3823 条记录，以下是1-10 订阅

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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...

引用

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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Towards Dynamic Neural communication and Speech Neuroprosthesis Based on Viseme Decoding

Towards Dynamic Neural Communication and Speech Neuroprosthe...

引用

2025 IEEE International conference on Acoustics, Speech, and Signal processing, ICASSP 2025

作者： Park, Ji-Ha Lee, Seo-Hyun Kim, Soowon Lee, Seong-Whan Dept. of Artificial Intelligence Korea University Seoul Korea Republic of Dept. of Brain and Cognitive Engineering Korea University Seoul Korea Republic of

ISBN: (纸本)9798350368741

Decoding text, speech, or images from human neural signals holds promising potential both as neuroprosthesis for patients and as innovative communication tools for general users. Although neural signals contain various information on speech intentions, movements, and phonetic details, generating informative outputs from them remains challenging, with mostly focusing on decoding short intentions or producing fragmented outputs. In this study, we developed a diffusion model-based framework to decode visual speech intentions from speech-related non-invasive brain signals, to facilitate face-to-face neural communication. We designed an experiment to consolidate various phonemes to train visemes of each phoneme, aiming to learn the representation of corresponding lip formations from neural signals. By decoding visemes from both isolated trials and continuous sentences, we successfully reconstructed coherent lip movements, effectively bridging the gap between brain signals and dynamic visual interfaces. The results highlight the potential of viseme decoding and talking face reconstruction from human neural signals, marking a significant step toward dynamic neural communication systems and speech neuroprosthesis for patients. © 2025 IEEE.

关键词： brain signals brain-computer interface diffusion model electroencephalogram neural communication signal processing speech neuroprosthesis

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Fully Optical Integrated Mixture-of-Experts System 24

Fully Optical Integrated Mixture-of-Experts System

引用

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...

引用

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 ...

引用

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

引用

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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Optimization of UWB-Based Indoor Positioning Algorithm and Design of Positioning System 24

Optimization of UWB-Based Indoor Positioning Algorithm and D...

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

作者： Hu, Yingkun Zhuang, Yihui Zhang, Yingbin Zhang, Dongbo School of Computer and Information Engineering Guangdong Polytechnic of Industry & Commerce Guangdong Guangzhou China

ISBN: (纸本)9798400710636

Considering the varying advantages, disadvantages, and implementation difficulties of current indoor positioning algorithms, this paper conducts a comparative analysis of common UWB ranging methods. The Two-Way Ranging (TWR) algorithm significantly improves ranging accuracy compared to the One-Way Ranging (OWR) approach. An optimized bi-directional TWR algorithm is proposed, in which the tag only needs to send a single Poll message, reducing ranging time and tag power consumption. To address measurement errors, where the trilateration circles may not intersect at a single point, the least squares method is employed to linearize and optimize the equations. A real-time indoor positioning system is designed, incorporating the optimized bi-directional TWR algorithm and trilateration algorithm. The software workflows for the tags and base stations are developed, and the system visualizes the distances from the tag to four base stations in the upper computer software, along with the derived position coordinates (X, Y, Z). The system achieves static errors within 0.05–0.06 meters, demonstrating its high accuracy for indoor real-time positioning. © 2024 Copyright held by the owner/author(s).

关键词： Least squares approximations

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Semantic Clustering of Image Retrieval Databases used for visual Localization

Semantic Clustering of Image Retrieval Databases used for Vi...

引用

2025 IEEE/CVF Winter conference on Applications of Computer Vision, WACV 2025

作者： Hölzemann, Henry Fiolka, Torsten Fraunhofer Institute for Communication Information Processing and Ergonomics Fkie Germany

ISBN: (纸本)9798331510831

Accurate self-localization of unmanned aerial systems (UAS) is needed to reduce their dependency on global navi-gation satellite systems (GNSS). Image retrieval techniques comparing aerial images with a reference database can be used for visual localization (VL). But the search space may be vast and a full search not feasible on a small UAS. In this work, we propose a novel solution that divides the reference database into smaller clusters based on the semantic con-tent of images. To this end, we generate and make use of a dataset for semantic segmentation of aerial image captures. By characterizing scenes and objects in images semanti-cally, retrieval-based systems are able to differentiate images and scenes efficiently. Using a divide-and-conquer approach, images with similar semantics are matched within smaller partial databases. This technique leads to reduced search times and approaches VL as a feasible solution for UAS localization in large-scale outdoor environments. © 2025 IEEE.

关键词： Semantic Segmentation

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Research on automated annotation technology for radar range-angle-doppler data based on visual supervision mechanism 4

Research on automated annotation technology for radar range-...

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4th International conference on Electronic information and communication Engineering, EICE 2025

作者： Miao, Jilong Wang, Ping Wang, Xinhong Liu, Fuqiang School of Electronic and Information Engineering Tongji University Shanghai200092 China

With the development of autonomous driving technology, vehicles integrate camera, lidar, and radar modules for environment perception. In mass-produced models, cameras and lidars mostly serve as primary sensors, while radar is mainly limited to distance detection and collision prevention. Given radar's unique working principle, it potentially offers stronger sensing capabilities. However, its signals are hard to process and annotate, and relevant research lacks sufficient dataset support. This study presents a method for processing radar raw signals and proposes an image-supervised automatic annotation approach for radar tensor data in the Range-Angle-Doppler (RAD) format. Meanwhile, we introduce the RADaSet dataset containing synchronized camera, lidar, and radar data, with the radar's RAD data annotated via the self-annotation method. © 2025 Institute of Physics Publishing. All rights reserved.

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