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Proceedings Paper

Fast multiresolution motion vector estimation for video coding by using spatial correlation
Author(s): Junavit Chalidabhongse; Sungook Kim; C.-C. Jay Kuo
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Paper Abstract

In this paper, we propose a new fast algorithm for motion vector (MV) estimation based on the correlation of MVs existing in spatially adjacent and hierarchically related blocks. We select a set of MV candidates from the MV information obtained at coarser resolution level and its spatially neighboring blocks in the same level, and then perform further local search to refine the MV result. Experiments are performed for several test video sequences to demonstrate its excellent performance. The proposed algorithm achieves a speed-up factor ranging from 140 to 200 with only 2-8% MSE increase in comparison with the full search block matching algorithm.

Paper Details

Date Published: 22 August 1995
PDF: 12 pages
Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); doi: 10.1117/12.217444
Show Author Affiliations
Junavit Chalidabhongse, Univ. of Southern California (United States)
Sungook Kim, Univ. of Southern California (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)

Published in SPIE Proceedings Vol. 2564:
Applications of Digital Image Processing XVIII
Andrew G. Tescher, Editor(s)

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