An adaptive decomposition method for video


Autoria(s): Tulabandu, Ranjit Kumar; Ashwin, AC; Ramakrishnan, KR
Data(s)

2007

Resumo

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 CRBP only. Further this method is extended to non-scalable coders.

Formato

application/pdf

Identificador

http://eprints.iisc.ernet.in/26021/1/getPDF..pdf

Tulabandu, Ranjit Kumar and Ashwin, AC and Ramakrishnan, KR (2007) An adaptive decomposition method for video. In: 6th International Conference on Information, Communications and Signal Processing, 10-13 Dec. 2007, Singapore.

Publicador

IEEE

Relação

http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=4449594&queryText%3D%28%28%28an+adaptive+decomposition+method+for+video%29%29%29%26openedRefinements%3D*

http://eprints.iisc.ernet.in/26021/

Palavras-Chave #Electrical Engineering
Tipo

Conference Paper

PeerReviewed