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Advanced Video Coding Systems 2014 Edition
Contributor(s): Gao, Wen (Author), Ma, Siwei (Author)
ISBN: 3319142429     ISBN-13: 9783319142425
Publisher: Springer
OUR PRICE:   $104.49  
Product Type: Hardcover - Other Formats
Published: January 2015
Qty:
Additional Information
BISAC Categories:
- Computers | Information Theory
- Computers | Interactive & Multimedia
- Technology & Engineering | Electronics - General
Dewey: 003.54
Physical Information: 0.63" H x 6.14" W x 9.21" (1.18 lbs) 239 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

This comprehensive and accessible text/reference presents an overview of the state of the art in video coding technology. Specifically, the book introduces the tools of the AVS2 standard, describing how AVS2 can help to achieve a significant improvement in coding efficiency for future video networks and applications by incorporating smarter coding tools such as scene video coding.

Topics and features: introduces the basic concepts in video coding, and presents a short history of video coding technology and standards; reviews the coding framework, main coding tools, and syntax structure of AVS2; describes the key technologies used in the AVS2 standard, including prediction coding, transform coding, entropy coding, and loop-filters; examines efficient tools for scene video coding and surveillance video, and the details of a promising intelligent video coding system; discusses optimization technologies in video coding systems for reducing complexity, improving performance, and organizing compressed streams; provides a review of image, video, and 3D content quality assessment algorithms; surveys the hot research topics in video compression, including perceptual video compression, and Internet media-oriented compression.

This invaluable work provides practical guidance for engineers on implementing the AVS2 standard, and will also prove helpful to students wishing to better understand the relevant techniques. Additionally, the book offers suggestions for researchers interested in developing smart video coding and processing frameworks for target problems.