Advances in Visual Data Compression and Communication
Meeting the Requirements of New Applications
Published on 25. July 2014
513 pages
978-1-4822-3415-2 (ISBN)
Description
This book provides a theoretical and technical basis for advanced research on visual data compression and communication. It presents the results of the author's research on visual data compression and transmission. Studying scalable video coding (SVC), it considers the fundamental problem to be solved in SVC-motion compensation. It explores directional transforms, extends the current coding framework by visual synthesis and reconstruction, and explains how to apply compressive sensing to solve the compression problems in transmission. It also develops the pseudo-analog transmission for image and video.
More details
Series
Language
English
Place of publication
Philadelphia, PA
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
File size
26,75 MB
ISBN-13
978-1-4822-3415-2 (9781482234152)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Feng Wu
Advances in Visual Data Compression and Communication
Meeting the Requirements of New Applications
Book
07/2014
1st Edition
Apple Academic Press Inc.
€188.00
Article not available for order
Person
Researchers and engineers involved with visual data compression and communication.
Content
Basis for Compression and Communication. Information Theory. Hybrid Video Coding. Communication. Scalable Video Coding. Progressive Fine Granularity Scalable (PFGS) Coding. Motion Threading for 3D Wavelet Coding. Barbell-Lifting Based 3D Wavelet Coding. Directional Transforms. DirectionalWavelet Transform. Directional DCT Transform. Directional Filtering Transform. VISION-BASED COMPRESSION. Edge-Based Inpainting. Cloud-Based Image Compression. Compression for Cloud Photo Storage. Compressive Communication. Compressive Data Gathering. Compressive Modulation. Joint Source and Channel Coding. DCast: Distributed Video Multicast. Denoising in Communication. MIMO Broadcasting with Receiver Antenna Heterogeneity. Future Work. Computational Information Theory.
