Digital Multimedia Communications
Springer Nature Switzerland AG (Verlag)
978-981-96-4278-6 (ISBN)
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The 55 full papers included in this 2-volume set were carefully reviewed and selected from 146 submissions.
This volume contains 27 selected papers presented at IFTC 2024: 21st International Forum of Digital Multimedia Communication, held in Lingshui, Hainan, China, on November 28-29, 2024.
The 55 full papers included in this 2-volume set were carefully reviewed and selected from 146 submissions. They were organized in topical sections as follows:
CCIS 2441: Affective Computing, Graphics & Image Processing for Virtual Reality, Large Language Models, Multimedia Communication, Application of Deep Learning and Video Analysis.
CCIS 2442: Human and Interactive Media, Image Processing, Quality Assessment and Source Coding.
Rotation-Equivariant Human Motion Prediction via Quaternion Graph Convolutional Network.- HomeArena: A Playground for Household Appliance Intelligence Development and Evaluation.- Virtual Digital Intelligence in Broadcasting Television and Online Audiovisual Fields: Applications and Risks.- Research on Cross-Modal Recommendation System Based on Deep Neural Network.- MIMCN: Multi-Interest Modeling with Capsule Network for News Recommendation.- FastTalker: Co-Speech Gesture Generation via Fast-Order Diffusion ODE Solver.- Multiplayer Interaction Feature Extraction for Skeleton-Based Action Recognition.- Bidirectional Information Fusion Time Series Transformer for Telecom Fraud Detection.- SSSGT: Silent Spiral Sparse Graph Transformer for Social Bots.- USIAL-VC: A One-Shot Voice Conversion by U-Net-Based Encoder and Speaker Identity Adaptive Learning.- PolyMotion-7K: A Multimodal-Driven Polyglot Avatar Motion Dataset.- MGTR-Avatar: Multi-Scale Gaussian Triplane Representation for High-Fidelity 3D Facial Model Reconstruction from a Monocular Video.- Learning Subimage-Adaptive Convolution Block for Real-Time Single Image Super-Resolution.- Light Field Image Super-Resolution Network Based on Attention Mechanism.- A Quantitative Method for Visual Appearance Recognition of Swollen Eyes Based on 3D Information of Eye-Related Key Points.- Siamese Dual-Stage Network with Hierarchical Fusion for Remote Sensing Image Dehazing.- CS2DMNet: Color Space Feature Interaction and Dual-Domain Multi-Scale Collaboration Network for Low-Light Image Enhancement.- A Near-Infrared Vein Image Semantic Segmentation and Localization
Method Based on Dual-Branch Information Fusion.- Remote Photoplethysmography Signal Measurement from Facial Videos Based on Enhanced Hybrid Convolutional Neural Network with Waveform Consistency Loss Function.- Lightweight Spatio-Temporal Attention Network for Video
Super-Resolution.- Video QoE Modeling by Spatial-Temporal Resolutions.- An End-to-End Full-Reference and No-Reference Quality Assessment Model for 360° VR Videos.- Do High Metrics Equal Enhanced Cognitive Performance? Exploring Objective and Subjective Assessments in Digital Human Quality.- Quality Assessment Indicators and Method of High-Resolution Space-Borne SAR Systems.- Objective Evaluation of Ambisonics Recording Performance Using Arbitrary Microphone Arrays.- Frame-Level Complexity Control for Practical Encoder x265.- A Human-Computer-Friendly Scalable Image Coding Scheme Based on the Canny Edge Detection Algorithm.
| Erscheinungsdatum | 14.05.2025 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | 114 Illustrations, color; 10 Illustrations, black and white |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | appearance and texture representations • Application of AI • Deep Learning for Social Media • Human and Interactive Media • Image Processing • Large Language Models • Media Computing • Multimedia Communication • Multimodel Learning • Quality Assessment • source coding • video analysis |
| ISBN-10 | 981-96-4278-7 / 9819642787 |
| ISBN-13 | 978-981-96-4278-6 / 9789819642786 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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