DocumentCode :
1071133
Title :
Frame-adaptive vector quantization for image sequence coding
Author :
Goldberg, Morris ; Sun, Huifang
Author_Institution :
Dept. of Electr. Eng., Ottawa Univ., Ont., Canada
Volume :
36
Issue :
5
fYear :
1988
fDate :
5/1/1988 12:00:00 AM
Firstpage :
629
Lastpage :
635
Abstract :
An adaptive technique for image sequence coding that is based on vector quantization is described. Each frame in the sequence is first decomposed into a set of vectors. A codebook is generated using the vectors of the first frame as the training sequence, and a label map is created by quantizing the vectors. The vectors of the second frame are then used to generate a new codebook, starting with the first codebook as seeds. The updated codebook is then transmitted. At the same time, the label map is replenished by coding the position and the new values of the labels that have changed from one frame to the other. The process is repeated for subsequent frames. Experimental results for a test sequences demonstrate that the technique can track the changes and maintain a nearly constant distortion over the entire sequence
Keywords :
encoding; picture processing; vectors; codebook; frame-adaptive vector quantisation; image sequence coding; label map; test sequences; training sequence; vectors; Bit rate; Block codes; Clustering algorithms; Data compression; Image coding; Image reconstruction; Image sequences; Iterative algorithms; Predictive coding; Statistics; Sun; Testing; Trajectory; Transform coding; Vector quantization;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/26.1481
Filename :
1481
Link To Document :
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