Title
State-of-the-Art and Trends in Scalable Video Compression With Wavelet-Based Approaches
Abstract
Scalable video coding (SVC) differs form traditional single point approaches mainly because it allows to encode in a unique bit stream several working points corresponding to different quality, picture size and frame rate. This work describes the current state-of-the-art in SVC, focusing on wavelet based motion-compensated approaches (WSVC). It reviews individual components that have been designed to address the problem over the years and how such components are typically combined to achieve meaningful WSVC architectures. Coding schemes which mainly differ from the space-time order in which the wavelet transforms operate are here compared, discussing strengths and weaknesses of the resulting implementations. An evaluation of the achievable coding performances is provided considering the reference architectures studied and developed by ISO/MPEG in its exploration on WSVC. The paper also attempts to draw a list of major differences between wavelet based solutions and the SVC standard jointly targeted by ITU and ISO/MPEG. A major emphasis is devoted to a promising WSVC solution, named STP-tool, which presents architectural similarities with respect to the SVC standard. The paper ends drawing some evolution trends for WSVC systems and giving insights on video coding applications which could benefit by a wavelet based approach.
Year
DOI
Venue
2007
10.1109/TCSVT.2007.906828
IEEE Trans. Circuits Syst. Video Techn.
Keywords
Field
DocType
coding scheme,svc standard,scalable video coding,wsvc system,wavelet-based approaches,promising wsvc solution,achievable coding performance,meaningful wsvc architecture,major emphasis,video coding application,major difference,scalable video compression,entropy coding,reference architecture,wavelet transforms,space time,spatial resolution,motion compensation,data compression,wavelets,wavelet transform
Computer vision,Entropy encoding,Computer science,Motion compensation,Multiresolution analysis,Artificial intelligence,Data compression,Wavelet,Signal compression,Wavelet transform,Scalable Video Coding
Journal
Volume
Issue
ISSN
17
9
1051-8215
Citations 
PageRank 
References 
38
2.11
38
Authors
3
Name
Order
Citations
PageRank
Nicola Adami1805.61
A. Signoroni2494.90
R. Leonardi3483.54