Classified motion estimation for video coding

Stefaan Desmet; Albert A. Deknuydt; Luc Van Eycken; Andre J. Oosterlinck

doi:10.1117/12.171059

23 March 1994 Classified motion estimation for video coding

Stefaan Desmet, Albert A. Deknuydt, Luc Van Eycken, Andre J. Oosterlinck

Proceedings Volume 2182, Image and Video Processing II; (1994) https://doi.org/10.1117/12.171059
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

Abstract

To reach higher compression ratios in video sequence coding the demands posed on the motion estimation module become greater and greater. In this paper we present a motion estimation scheme which gives a motion field defined on every block (typical 8 by 8 or 16 by 16) and resembles very well the real motion in the scene. In more complex coding schemes constraints were added to obtain better visual quality. The proposed algorithm is a `one-pass' algorithm and is not explicitly based on any statistical model. A classification procedure on a predefined number of motion vector candidates defines the final motion field. An overview is given of the concept of using global information to calculate the motion vector field. A thorough description of the new algorithm is given and some simulation results are presented on real sequences. Further research on this algorithm will be done to use it in a segmentation based codec for complex scenes.

Citation Download Citation

Stefaan Desmet, Albert A. Deknuydt, Luc Van Eycken, and Andre J. Oosterlinck "Classified motion estimation for video coding", Proc. SPIE 2182, Image and Video Processing II, (23 March 1994); https://doi.org/10.1117/12.171059

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