Classified motion estimation for video coding
Stefaan Desmet, Albert A. Deknuydt, Luc Van Eycken, A. Oosterlinck · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
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.