Fast multiresolution motion vector estimation for video coding by using spatial correlation

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

doi:10.1117/12.217444

22 August 1995 Fast multiresolution motion vector estimation for video coding by using spatial correlation

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

Proceedings Volume 2564, Applications of Digital Image Processing XVIII; (1995) https://doi.org/10.1117/12.217444
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

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.

Citation Download Citation

Junavit Chalidabhongse, Sungook Kim, and C.-C. Jay Kuo "Fast multiresolution motion vector estimation for video coding by using spatial correlation", Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); https://doi.org/10.1117/12.217444

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