Fast motion vector estimation by using spatiotemporal correlation of motion field

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

doi:10.1117/12.206787

21 April 1995 Fast motion vector estimation by using spatiotemporal correlation of motion field

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

Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206787
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan

Abstract

Motion vector (MV) estimation plays an important role in motion compensated video coding. In this research, we first examine a stochastic MV model which enables us to exploit the strong correlation of MVs in both spatial and temporal domains in a given image sequence. Then, a new fast stochastic block matching algorithm (SBMA) is proposed. The basic idea is to select a set of good MV candidates and choose from them the one which satisfies a certain spatio-temporal correlation rule. The proposed algorithm reduces matching operations to about 2% of that of the full block matching algorithm (FBMA) with only 2% increase of the sum of absolute difference (SAD) in motion compensated residuals. The excellent performance of the new algorithm is supported by extensive experimental results.

Citation Download Citation

Sungook Kim, Junavit Chalidabhongse, and C.-C. Jay Kuo "Fast motion vector estimation by using spatiotemporal correlation of motion field", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206787

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