Motion-compensated interframe prediction

Kan Xie; Luc Van Eycken; Andre J. Oosterlinck

doi:10.1117/12.23527

1 November 1990 Motion-compensated interframe prediction

Kan Xie, Luc Van Eycken, Andre J. Oosterlinck

Proceedings Volume 1349, Applications of Digital Image Processing XIII; (1990) https://doi.org/10.1117/12.23527
Event: 34th Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1990, San Diego, CA, United States

Abstract

Motioncompensated interframe prediction has been applied widely in digital television signal coding specially in low bit-rate coding such as videotelephone and videoconference. A key element in motion-compensated interframe prediction is the motion estimation algorithm. In this paper a new motion estimation algorithm is presented. It is based on the block recursive (gradient) method and makes use of some of the advantages of the blockmatching method. Motion estimation with non-integer pd accuracy can be obtained with only a few iterations. In addition some techniques with respect to motion correlation and motion tendency estimation which we proposed before [1] are applied to the estimation algorithm which are efficient enough to improve the performance of the motion estimation and the homogeneity of the estimated motion vector field. The experiment shows that the proposed algorithm has a much higher estimation accuracy and a much better prediction performance than the conventional block motion estimation algorithms. Moreover a coding approach designed effectively to minimize the bit-rate necessary to present the motion vector field is proposed as well. A high compression rate for the transmission of the motion information has been achieved. Finally the simulation results of motioncompensated interframe prediction for low bit-rate coding based on the proposed algorithm and of the motion information encoding are presented.

Citation Download Citation

Kan Xie, Luc Van Eycken, and Andre J. Oosterlinck "Motion-compensated interframe prediction", Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); https://doi.org/10.1117/12.23527

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