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Proceedings Paper

Efficient motion-estimated vector quantizer
Author(s): Inseop Lee; Jong Gyu Kim; Souguil J.M. Ann
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Paper Abstract

In this paper, we have proposed an efficient motion estimated vector quantizer (MEVQ) which reduces the full searching time of the VQ encoder by means of motion estimation. In image sequence successive frames are usually very highly correlated. Using the frame difference we can classify a moving area and a static area in a frame. And by motion estimation we can get motion vectors for each block. In MEVQ we make two sets of codebooks. One is the main codebook which has all codewords and the other is the sub codebook which is a subset of the main codebook. For the static area MEVQ refers to the sub codebook instead of the main codebook. For motion parts that have motion vectors it refers to the sub codebook by the help of motion vectors. For the rest of the image frame that are moving areas but cannot have motion vectors it refers to the main codebook. According to our computer simulation, MEVQ reduces the searching time greatly compared with the normal full search VQ without any significant degradation.

Paper Details

Date Published: 22 October 1993
PDF: 7 pages
Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); doi: 10.1117/12.157975
Show Author Affiliations
Inseop Lee, Gold Star North America Lab., Inc. (United States)
Jong Gyu Kim, Gold Star North America Lab., Inc. (United States)
Souguil J.M. Ann, Seoul National Univ. (South Korea)


Published in SPIE Proceedings Vol. 2094:
Visual Communications and Image Processing '93
Barry G. Haskell; Hsueh-Ming Hang, Editor(s)

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