Efficient motion-estimated vector quantizer

Inseop Lee; Jong Gyu Kim; Souguil J.M. Ann

doi:10.1117/12.157975

22 October 1993 Efficient motion-estimated vector quantizer

Inseop Lee, Jong Gyu Kim, Souguil J.M. Ann

Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157975
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States

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.

Citation Download Citation

Inseop Lee, Jong Gyu Kim, and Souguil J.M. Ann "Efficient motion-estimated vector quantizer", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157975

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KEYWORDS

Motion estimation

Distortion

Computer programming

Sensors

Computer simulations

Image compression

Medical imaging

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