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Proceedings Paper

Projection-based block-matching motion estimation
Author(s): Chengjie Tu; Trac D. Tran; Jerry L. Prince; Pankaj N. Topiwala
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Paper Abstract

This paper introduces a fast block-based motion estimation algorithm based on matching projections. The idea is simple: blocks cannot match well if their corresponding 1D projections do not match well. We can take advantage of this observation to translate the expensive 2D block matching problem to a simpler 1D matching one by quickly eliminating a majority of matching candidates. Our novel motion estimation algorithm offers computational scalability through a single parameter and global optimum can still be achieved. Moreover, an efficient implementation to compute projections and to buffer recyclable data is also presented. Experiments show that the proposed algorithm is several times faster than the exhaustive search algorithm with nearly identical prediction performance. With the proposed BME method, high-performance real-time all- software video encoding starts to become practical for reasonable video sizes.

Paper Details

Date Published: 28 December 2000
PDF: 10 pages
Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); doi: 10.1117/12.411605
Show Author Affiliations
Chengjie Tu, Johns Hopkins Univ. and Fast VDO Inc. (United States)
Trac D. Tran, Johns Hopkins Univ. and Fast VDO Inc. (United States)
Jerry L. Prince, Johns Hopkins Univ. (United States)
Pankaj N. Topiwala, Fast VDO Inc. (United States)

Published in SPIE Proceedings Vol. 4115:
Applications of Digital Image Processing XXIII
Andrew G. Tescher, Editor(s)

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