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
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