DocumentCode :
2971906
Title :
An adaptive decomposition method for video
Author :
Tulabandu, Ranjit Kumar ; Ashwin, A.C. ; Ramakrishnan, K.R.
Author_Institution :
Indian Inst. of Sci. Bangalore, Bangalore
fYear :
2007
fDate :
10-13 Dec. 2007
Firstpage :
1
Lastpage :
5
Abstract :
Scalable video coding (SVC) is an emerging standard built on the success of advanced video coding standard (H.264/AVC) by the Joint video team (JVT). Motion compensated temporal filtering (MCTF) and Closed loop hierarchical B pictures (CHBP) are two important coding methods proposed during initial stages of standardization. Either of the coding methods, MCTF/CHBP performs better depending upon noise content and characteristics of the sequence. This work identifies other characteristics of the sequences for which performance of MCTF is superior to that of CHBP and presents a method to adaptively select either of MCTF and CHBP coding methods at the GOP level. This method, referred as "Adaptive Decomposition" is shown to provide better R-D performance than of that by using MCTF or CHBP only. Further this method is extended to non- scalable coders.
Keywords :
code standards; filtering theory; motion compensation; video coding; H.264/AVC; adaptive decomposition method; closed loop hierarchical B pictures; joint video team; motion compensated temporal filtering; non- scalable coders; scalable video coding; Automatic voltage control; Decoding; IEC standards; ISO standards; Noise reduction; Signal resolution; Standardization; Static VAr compensators; Video coding; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications & Signal Processing, 2007 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-0982-2
Electronic_ISBN :
978-1-4244-0983-9
Type :
conf
DOI :
10.1109/ICICS.2007.4449594
Filename :
4449594
Link To Document :
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