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Proceedings Paper

Spatial correlation-based approach to motion vector estimation in video coding
Author(s): Junavit Chalidabhongse; Sungook Kim; C.-C. Jay Kuo
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Paper Abstract

In this paper, we propose two new fast algorithms for motion vector (MV) estimation using spatial correlation of MVs in adjacent blocks. We select a set of MV candidates based on the MV knowledge of its neighboring blocks, and then perform further search to refine the MV result. The first algorithm is performed on each block consecutively. The second algorithm is a modified version of the first one by using a block subsampling technique to reduce computational cost. We show with experimental results that, compared with full search block matching algorithm (FBMA), the proposed algorithms have a speed-up factor ranging from 50 to 100 with only 2-15% MSE increase when applied to typical test image sequences.

Paper Details

Date Published: 16 June 1995
PDF: 12 pages
Proc. SPIE 2488, Visual Information Processing IV, (16 June 1995); doi: 10.1117/12.211971
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. 2488:
Visual Information Processing IV
Friedrich O. Huck; Richard D. Juday, Editor(s)

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