Macro motion vector quantization

Yoon Yung Lee; John W. Woods

doi:10.1117/12.206783

21 April 1995 Macro motion vector quantization

Yoon Yung Lee, John W. Woods

Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206783
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan

Abstract

A new algorithm is developed for reducing the bit rate required for motion vectors. This algorithm is a generalization of block matching motion estimation in which the search region is represented as a codebook of motion vectors. The new algorithm, called macro motion vector quantization (MMVQ), generalized our earlier MVQ by coding a group of motion vectors. The codebook is a set of macro motion vectors which represent the block locations of the small neighboring blocks in the previous frame. We develop an interative design algorithm for the codebook. Our experiments show that the variances of displaced frame differences (DFDs) are reduced significantly compared to block matching algorithm (BMA) with the macroblock size.

Citation Download Citation

Yoon Yung Lee and John W. Woods "Macro motion vector quantization", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206783

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