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