DocumentCode
1470620
Title
Video compression using matching pursuits
Author
Al-Shaykh, Osama K. ; Miloslavsky, Eugene ; Nomura, Toshio ; Neff, Ralph ; Zakhor, Avideh
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Volume
9
Issue
1
fYear
1999
fDate
2/1/1999 12:00:00 AM
Firstpage
123
Lastpage
143
Abstract
The use of matching pursuit (MP) to code video using overcomplete Gabor basis functions has recently been introduced. In this paper, we propose new functionalities such as SNR scalability and arbitrary shape coding for video coding based on matching pursuit. We improve the performance of the baseline algorithm presented earlier by proposing a new search and a new position coding technique. The resulting algorithm is compared to the earlier one and to DCT-based coding
Keywords
data compression; video coding; SNR scalability; algorithm; arbitrary shape coding; baseline algorithm; matching pursuits; new position coding technique; overcomplete Gabor basis functions; performance; video coding; video compression; Bit rate; Code standards; Discrete cosine transforms; Matching pursuit algorithms; Scalability; Shape; Sun; Video coding; Video compression; Video sequences;
fLanguage
English
Journal_Title
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher
ieee
ISSN
1051-8215
Type
jour
DOI
10.1109/76.744280
Filename
744280
Link To Document