Digital Multimedia Communications
21st International Forum on Digital TV and Wireless Multimedia Communications, IFTC 2024, Hainan, China, November 28?29, 2024, Revised Selected Papers, Part I
Series: Communications in Computer and Information Science; 2441;
- Publisher's listprice EUR 90.94
-
38 576 Ft (36 739 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 8% (cc. 3 086 Ft off)
- Discounted price 35 490 Ft (33 800 Ft + 5% VAT)
38 576 Ft
Availability
Not yet published.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher Springer
- Date of Publication 9 April 2025
- Number of Volumes 1 pieces, Book
- ISBN 9789819642755
- Binding Paperback
- No. of pages435 pages
- Size 235x155 mm
- Language English
- Illustrations 5 Illustrations, black & white; 161 Illustrations, color 700
Categories
Long description:
This volume contains 28 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.
MoreTable of Contents:
Spatio-Temporal Scene Graph Reasoning Networks for Emotion Recognition in User-Generated Videos.- Unsupervised 3D Face Reconstruction Method Based on ITV-Net.- Attention-Guided Semantic Segmentation Network for High Dimensional Multi-Scale Land Remote Sensing.- Reversible Data Hiding for Encrypted 3D Mesh Model Based on Optimal Grouping Strategy and Multiple-Bit Plane Prediction.- Semantic-Driven Free-View 3D Human Motion Video Composite.- RG-GS: Rasterization-Enhanced and Geometric-Guided Gaussian Splatting.- MoT: A Mixture of TriPlanes Framework for Frequency-Aware Dynamic Neural Radiance Fields.- High Quality 3D Gaussian Avatar Modeling.- Content Adaptive Light Field Representation Using Fourier Disparity Layers.- Research on Legal Question Answering System with Retrieval-Augmented Large Language Models.- Joint Source-Channel Coding with Large Language Model: A Vibrotactile Example.- Persona Extraction and Integration with Large Language Models Towards Personalized Dialogues.- MSBA: Adaptive Multi-Stream Data Transmission Method with Bandwidth Awareness for End-Cloud Systems.-Fabric Defect Detection Method Based on Unlabeled Compact Deep Learning.- Causal Imitation Learning-Based Navigation Algorithm for Drones.- Memory-Guided Hierarchical Feature Reconstruction for Multi-class Unsupervised Anomaly Detection.- A Method for Surface Defect Detection Based on Denoising and Self-Supervised Reconstruction.- Transmission Line Bolt Missing Detection Based on Improved YOLOv8 Network.- A Lightweight Infrared and Visible Image Fusion Method for Object Detection.- MSO-YOLO: Real-Time Pedestrian Detection Algorithm on Multi-Scale and Occlusion Situation.- Implicit Online Saddle Point Optimization.- MAFNet: Multi-Attention Fusion Network for Infrared Small Target
Detection.- Personalized Federated Meta-Learning Based on Gradient Clustering and Aggregation.- FMS-YOLO: Lightweight High-Altitude Work Safety Belt Detection.- Ink Animation Creation via Human-AI Collaboration.- A Meta-Space Architecture and Methods for Mobile Robot Inspection Digital Twin System.- Predict Pedestrian Flow in Open Street Environment.- VNNet: A Deep Learning-Based System for Video Visual Style Classification.
