DocumentCode
2457968
Title
Low Complexity Scalable Video Coding
Author
An, Cheolhong ; Nguyen, Truong Q.
Author_Institution
Dept. of Electr. & Comput. Eng., UCSD, La Jolla, CA
fYear
2006
fDate
Oct. 29 2006-Nov. 1 2006
Firstpage
1086
Lastpage
1089
Abstract
In this paper, we consider scalable video coding (SVC) which has higher complexity than H.264/AVC since it has spatial, temporal and quality scalability in addition to H.264/AVC functionality. Furthermore, inter-layer prediction and layered coding for spatial scalability make motion estimation and mode decision more complex. Therefore, we propose low complexity SVC schemes by using current developing SVC standard. It is archived by prediction method such as skip, direct, inter-layer MV prediction with fast mode and motion vector (MV) estimation at enhancement layer. In order to increase the performance of inter-layer MV prediction, combined MV interpolation is applied with adjustment of prediction direction. Additionally, fast mode and MV estimation are proposed from structural properties of motion-compensated temporal filtering (MCTF) to elaborate predicted macro block (MB) mode and MV. From the experimental results, proposed method has comparable performance to reference software model with significant lower complexity.
Keywords
computational complexity; filtering theory; interpolation; motion compensation; motion estimation; prediction theory; video coding; H.264-AVC; inter-layer motion vector prediction; inter-layer prediction coding; layered coding; low complexity scalable video coding; macro block mode decision; motion vector estimation; motion vector interpolation; motion-compensated temporal filtering; spatial scalability; Automatic voltage control; Filtering; Interpolation; Motion estimation; Prediction methods; Scalability; Software performance; Standards development; Static VAr compensators; Video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
1-4244-0784-2
Electronic_ISBN
1058-6393
Type
conf
DOI
10.1109/ACSSC.2006.354920
Filename
4176730
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