DocumentCode :
1572241
Title :
Scalable shape representation for content based visual data compression
Author :
Jordan, C. Le Buhan ; Bossen, F. ; Ebrahimi, T.
Author_Institution :
Signal Process. Lab., Fed. Inst. of Technol., Lausanne, Switzerland
Volume :
1
fYear :
1997
Firstpage :
512
Abstract :
Two major classes of shape coding methods are reviewed, namely bitmap coding and contour coding, and in particular their scalable extensions. In addition to their absolute compression efficiency, we analyze their performance in the framework of a complete image/video coding scheme, and show that they bring complementary functionalities depending on the targeted application
Keywords :
arithmetic codes; data compression; image coding; image representation; video coding; absolute compression efficiency; bitmap coding; content based visual data compression; contour coding; functionalities; image coding; scalable extensions; scalable shape representation; shape coding methods; video coding; Arithmetic; Data compression; Decoding; Encoding; Image coding; MPEG 4 Standard; Shape; Transform coding; Video coding; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
Type :
conf
DOI :
10.1109/ICIP.1997.647962
Filename :
647962
Link To Document :
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