Digital Multimedia Communications
20th International Forum on Digital TV and Wireless Multimedia Communications, IFTC 2023, Beijing, China, December 21-22, 2023, Revised Selected Papers, Part II
(Sprache: Englisch)
This book constitutes the refereed proceedings of the 20th International Forum on Digital Multimedia Communication, IFTC 2023, held in Beijing, China, December 21-22, 2023.
The 57 full papers included in this book were carefully reviewed and...
The 57 full papers included in this book were carefully reviewed and...
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Klappentext zu „Digital Multimedia Communications “
This book constitutes the refereed proceedings of the 20th International Forum on Digital Multimedia Communication, IFTC 2023, held in Beijing, China, December 21-22, 2023.The 57 full papers included in this book were carefully reviewed and selected from 150 submissions. They were organized in topical sections as follows:
CCIS 2066: Image Processing, Media Computing, Metaverse and Virtual Reality, and Multimedia Communication.
CCIS 2067: Quality Assessment, Source Coding, and Application of AI.
Inhaltsverzeichnis zu „Digital Multimedia Communications “
.- Quality Assessment..- AUIQE: Attention-Based Underwater Image Quality Evaluator.
.- I2QED: A Benchmark Database for Infrared Imaging Quality Evaluation.
.- Perceptual Blind Panoramic Image Quality Assessment Based on Super-Pixel.
.- Image Aesthetics Assessment Based on Visual Perception and Textual Semantic Understanding.
.- An Omnidirectional Videos Quality Assessment Method Using Salient Object Information.
.- A No-Reference Stereoscopic Image Quality Assessment Based on Cartoon Texture Decomposition and Human Visual System.
.- Decoding the Flow Experience in Video Games: An Analysis of Physiological and Performance Metrics.
.- Source Coding.
.- ULIC: Ultra Lightweight Image Coder on Wearable Devices.
.- Temporal Dependency-Oriented Deep In-Loop Filter for VVC.
.- Resolution-Agnostic Neural Compression for High-Fidelity Portrait Video Conferencing via Implicit Radiance Fields.
.- Fast QTMT Decision for H.266/VVC via Jointly Leveraging Neural Network and Machine Learning Models.
.- End-to-End Image Compression Through Machine Semantics.
.- Application of AI.
.- PM2.5 Concentration Measurement Based on Natural Scene Statistics and Progressive Learning.
.- Human-Centered Financial Signal Processing: A Case Study on Stock Chart Analysis.
.- Unsupervised Event-to-Image Reconstruction Based on Domain Adaptation.
.- Adjusting Exploitation and Exploration Rates of Differential Evolution: A Novel Mutation Strategy.
.- Revealing Real Face for Generalized Anti-Spoofing.
.- Study on Sound Insulation Performance of Membrane-Type Acoustic Metamaterials with Pendulum Arm.
.- An Anomaly Detection Framework for Propagation Networks Leveraging Deep Learning.
.- MABC-Net: Multimodal Mixed Attentional Network with Balanced Class for Temporal Forgery Localization.
.- Exploiting Diffusion Model as Prompt Generator for Object Localization.
.- Depression Recognition Based on Pre-Trained ResNet-18 Model and
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Brain Effective Connectivity Network.
.- ChatASD: LLM-Based AI Therapist for ASD.
.- Billiards Hitting Assistance System.
.- Visual Detection System for Industrial Defects.
.- A Multimodal Registration and Fusion Diagnostic System Based on Multi-Scale Feature.
.- CCDaS: A Benchmark Dataset for Cartoon Character Detection in Application Scenarios.
.- Driving Dynamics: An In-depth Analysis of Attention Allocation Between Driver and Co-Driver in a Simulated Environment.
.- ChatASD: LLM-Based AI Therapist for ASD.
.- Billiards Hitting Assistance System.
.- Visual Detection System for Industrial Defects.
.- A Multimodal Registration and Fusion Diagnostic System Based on Multi-Scale Feature.
.- CCDaS: A Benchmark Dataset for Cartoon Character Detection in Application Scenarios.
.- Driving Dynamics: An In-depth Analysis of Attention Allocation Between Driver and Co-Driver in a Simulated Environment.
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Bibliographische Angaben
- 2024, 2024, XIX, 399 Seiten, 144 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Guangtao Zhai, Jun Zhou, Long Ye, Hua Yang, Ping An, Xiaokang Yang
- Verlag: Springer, Berlin
- ISBN-10: 9819736250
- ISBN-13: 9789819736256
Sprache:
Englisch
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