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
Link To Document :
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