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Proceedings Paper

Fast motion vector estimation for video coding based on multiresolution-spatiotemporal correlations
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 correlations of MVs existing in spatially and temporally adjacent as well as hierarchically related blocks. The main idea is to select a good set of MV candidates with information obtained at the coarser resolution level and spatio-temporal blocks at the same level, and then perform further local search to refine the MV result. The experimental results show that the proposed fast algorithm achieves a speed-up factor ranging from 150 to 310 with only 2 - 7% MSE increase in comparison with the full search block matching algorithm on typical test video sequences.

Paper Details

Date Published: 27 February 1996
PDF: 12 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233280
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. 2727:
Visual Communications and Image Processing '96
Rashid Ansari; Mark J. T. Smith, Editor(s)

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