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Proceedings Paper

Feature-assisted search technique for motion estimation
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Paper Abstract

Motion estimation (ME) is one of the most time-consuming parts in video encoding system, and significantly affects the quality of the reconstructed sequences. In this paper, we propose a new fast algorithm, or the Feature Assisted Search Technique for Motion Estimation (FASTME), which is a gradient descent search combined with a new search strategy, namely, one-dimensional feature matching based on selective integral projections (1DFM). 1DFM assists a local search around an initial search center with a low computational complexity. After performing 1DFM, a small diamond search pattern and more compact horizontal and vertical search patterns, are adaptively used according to the result of 1DFM. The proposed algorithm outperforms existing fast algorithms in terms of speed up performance. In addition, its PSNR performance is better or similar to those of existing fast algorithms.

Paper Details

Date Published: 23 June 2003
PDF: 10 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.502777
Show Author Affiliations
Jae Hun Lee, Korea Advanced Institute of Science and Technology (South Korea)
Jong Beom Ra, Korea Advanced Institute of Science and Technology (South Korea)


Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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