DocumentCode :
2095528
Title :
Variable size finite-state motion vector quantization
Author :
Bilgin, Ali ; Marcellin, Michael W. ; Abut, Hüseyin
Author_Institution :
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
Volume :
4
fYear :
1996
fDate :
7-10 May 1996
Firstpage :
2017
Abstract :
We present an algorithm which combines vector quantization (VQ) techniques with variable size block matching algorithms (BMA) for motion compensated image sequence coding. First, an algorithm which decomposes the image frame into blocks of different sizes with similar motion parameters is proposed. Since the algorithm is based on splitting the block that would result in the highest decrease in distortion, it does not require a merging step. Next, VQ techniques are utilized to expedite the search for the block motion vector without significant sacrifice in the temporal entropy reduction performance. We compare the performance and the computational requirements of the proposed algorithm with other BMAs
Keywords :
image coding; image matching; image sequences; motion compensation; motion estimation; search problems; BMA; VQ techniques; block motion vector; computational requirements; distortion; image frame; image sequence coding; motion compensation; motion parameters; temporal entropy reduction performance; variable size block matching algorithms; variable size finite-state motion VQ; vector quantization; Distortion measurement; Entropy; Image coding; Merging; Motion compensation; Motion estimation; Motion measurement; Multilevel systems; Partitioning algorithms; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1520-6149
Print_ISBN :
0-7803-3192-3
Type :
conf
DOI :
10.1109/ICASSP.1996.544851
Filename :
544851
Link To Document :
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