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Proceedings Paper

Improved motion vector predictor for video coding
Author(s): Fengling Li; Nam Ling
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Paper Abstract

This paper proposes an approach to improve the accuracy of the motion vector (MV) predictor in video coding. The proposed method makes use of the mechanism of a physical model of rigid objects to assess motion vector relationships among neighboring blocks, and takes advantage of this relationship to improve MV predictor accuracy. Consequently, more bits can be allocated for texture information to improve video quality. Our premise is that blocks associated with the same physical rigid objects have stronger MV relationships than those not associated. This association leads to certain observable behaviors. By detecting this behavior we design an algorithm to achieve a more accurate motion vector predictor. We tested our method on a multi-layer scalable video codec and the results show that the proposed method reduces the number of bits used for motion information without PSNR degradation.

Paper Details

Date Published: 24 June 2005
PDF: 9 pages
Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59606N (24 June 2005); doi: 10.1117/12.633518
Show Author Affiliations
Fengling Li, Santa Clara Univ. (United States)
Nam Ling, Santa Clara Univ. (United States)


Published in SPIE Proceedings Vol. 5960:
Visual Communications and Image Processing 2005
Shipeng Li; Fernando Pereira; Heung-Yeung Shum; Andrew G. Tescher, Editor(s)

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