DocumentCode
1741019
Title
Dictionary approximation for matching pursuit video coding
Author
Neff, Ralph ; Zakhor, Avideh
Author_Institution
Dept. of Electr. Eng., California Univ., Berkeley, CA, USA
Volume
2
fYear
2000
fDate
10-13 Sept. 2000
Firstpage
828
Abstract
Previously, we demonstrated an efficient video codec based on overcomplete signal decomposition using matching pursuits. Dictionary design is an important issue for this system, and others have shown alternate dictionaries which lead to either coding efficiency improvements or reduced encoder complexity. We introduce for the first time a design methodology which incorporates both coding efficiency and complexity in a systematic way. The key to our new method is an algorithm which takes an arbitrary 2-D dictionary and generates approximations of the dictionary which have fast 2-stage implementations. By varying the quality of the approximation, we can explore a systematic tradeoff between the coding efficiency and complexity of the matching pursuit video encoder. As a practical result, we show cases where complexity is reduced by a factor of 500 to 1000 in exchange for small coding efficiency losses of around 0.1 dB PSNR.
Keywords
approximation theory; computational complexity; data compression; discrete cosine transforms; image matching; transform coding; video coding; 2D dictionary design; DCT; PSNR; algorithm; coding efficiency; dictionary approximation; discrete cosine transform; efficient video codec; fast 2-stage implementations; matching pursuit video coding; overcomplete signal decomposition; reduced encoder complexity; Decoding; Design methodology; Dictionaries; Discrete cosine transforms; Discrete transforms; Matching pursuit algorithms; PSNR; Signal resolution; Video codecs; Video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location
Vancouver, BC, Canada
ISSN
1522-4880
Print_ISBN
0-7803-6297-7
Type
conf
DOI
10.1109/ICIP.2000.899837
Filename
899837
Link To Document