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Proceedings Paper

Interpolation-free subpixel refinement for block-based motion estimation
Author(s): Tuan-Kiang Chiew; James T. H. Chung-How; David R. Bull; C. Nishan Canagarajah
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Paper Abstract

This paper proposes a low-complexity sub-pixel refinement to motion estimation based on full-search block matching algorithm (BMA) at integer-pixel accuracy. This algorithm eliminates the need to produce interpolated reference frames, which is may be too memory- and processor- intensive, for some real-time mobile applications. The algorithm assumes the BMA is done at pixel resolution and the (sum-of-absolute-differences) SADs of the candidate motion vector and its neighbouring vectors are available for each block. The proposed method than models the SAD distribution around the candidate motion vector and its neighbouring points. Actual minimum point at sub-pixel resolution is then computed according to the model used. 3 variations of the parabolic model are considered and simulations using the H.263 standard encoder on several test sequences reveal an improvement of 1.0 dB over integer-accuracy motion estimation. Albeit its simplicity, some test cases come close to the results obtained by actual interpolated reference frames.

Paper Details

Date Published: 18 January 2004
PDF: 9 pages
Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); doi: 10.1117/12.526093
Show Author Affiliations
Tuan-Kiang Chiew, Univ. of Bristol (United Kingdom)
James T. H. Chung-How, ProVision Communication Technologies, Ltd. (United Kingdom)
David R. Bull, Univ. of Bristol (United Kingdom)
C. Nishan Canagarajah, Univ. of Bristol (United Kingdom)

Published in SPIE Proceedings Vol. 5308:
Visual Communications and Image Processing 2004
Sethuraman Panchanathan; Bhaskaran Vasudev, Editor(s)

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