DocumentCode
1876743
Title
Exploiting MPEG-7 texture descriptors for fast H.264 mode decision
Author
Ni, K.S. ; Nguyen, Truong Q.
Author_Institution
ECE Dept., UCSD, La Jolla, CA
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
2796
Lastpage
2799
Abstract
A novel technique for exploring the use of indexing metadata in improving coding efficiency is proposed in this paper. The technique uses an MPEG-7 descriptor as the basis for a fast mode decision algorithm for H.264/AVC encoders. The descriptor is used to form homogenous clusters for each frame, within which limited available coding modes for each macroblock are defined. The coding mode of an already coded macroblock that belongs to the same cluster in the same frame as well as the statistics of the coding modes of similar clusters in previous frames, are used for limiting the range of available coding modes within each cluster. The results show that the proposed algorithm is able to achieve an average of 47% time-saving when compared to the full search method and 21% when compared to the fast mode decision algorithm employed in the JM12.2 reference H.264 software encoder. In both cases, results yield only a small degradation in rate-distortion performance and a negligible loss in subjective quality.
Keywords
block codes; database indexing; decision theory; image texture; meta data; pattern clustering; video coding; H.264/AVC encoder; MPEG-7 texture descriptor; fast H.264 mode decision algorithm; homogenous cluster; macroblock coding; metadata indexing; statistics; Automatic voltage control; Clustering algorithms; Degradation; Indexing; MPEG 7 Standard; Performance loss; Rate-distortion; Search methods; Software algorithms; Statistics; H.264; MPEG-7; Metadata; Mode decision; Video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1522-4880
Print_ISBN
978-1-4244-1765-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2008.4712375
Filename
4712375
Link To Document