Stochastic approach for motion vector estimation in video coding

Sungook Kim; C.-C. Jay Kuo

doi:10.1117/12.179219

30 June 1994 Stochastic approach for motion vector estimation in video coding

Sungook Kim, C.-C. Jay Kuo

Proceedings Volume 2304, Neural and Stochastic Methods in Image and Signal Processing III; (1994) https://doi.org/10.1117/12.179219
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

Motion vector (MV) estimation plays an important role in motion compensated video coding. We propose in this research a new fast MV estimation algorithm by using a statistical approach. Our algorithm consists of two components. First, instead of using a fixed search window centered at the origin, we allow the center and the size of the search window to vary according to the motion vectors obtained in coding previous frames. Second, instead of performing an exhaustive block matching within the search window, we introduce a probability density function which has a peak at the window center and decays as the distance becomes larger, and we generate a few search positions according to the probability density. Experiments are performed to illustrate the excellent performance of the proposed algorithm.

Citation Download Citation

Sungook Kim and C.-C. Jay Kuo "Stochastic approach for motion vector estimation in video coding", Proc. SPIE 2304, Neural and Stochastic Methods in Image and Signal Processing III, (30 June 1994); https://doi.org/10.1117/12.179219

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