Spatial correlation-based approach to motion vector estimation in video coding

Junavit Chalidabhongse; Sungook Kim; C.-C. Jay Kuo

doi:10.1117/12.211971

16 June 1995 Spatial correlation-based approach to motion vector estimation in video coding

Junavit Chalidabhongse, Sungook Kim, C.-C. Jay Kuo

Proceedings Volume 2488, Visual Information Processing IV; (1995) https://doi.org/10.1117/12.211971
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

Junavit Chalidabhongse, Sungook Kim, and C.-C. Jay Kuo "Spatial correlation-based approach to motion vector estimation in video coding", Proc. SPIE 2488, Visual Information Processing IV, (16 June 1995); https://doi.org/10.1117/12.211971

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