A JOINT MOTION SEGMENTATION ALGORITHM FOR VIDEO CODING

Motion compensation is an essential problem in video coding. The main drawback of the usual motion estimation methods is that they divide the images into blocks or patches which do not correspond to moving objects. In this paper, we propose a method to estimate the motion in regions instead of blocks. We define a cost functional to estimate simultaneously the segmentation and the motion of the regions. We introduce a joint motion estimation and segmentation algorithm based on the derivation of this cost functional. We show some encouraging results for video compression.

[1]  Kai-Kuang Ma,et al.  A new diamond search algorithm for fast block-matching motion estimation , 2000, IEEE Trans. Image Process..

[2]  Michel Barlaud,et al.  A model-based motion compensated video coder with JPEG2000 compatibility , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[3]  Joachim Weickert,et al.  Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint , 2001, Journal of Mathematical Imaging and Vision.

[4]  Michel Barlaud,et al.  DREAM2S: Deformable Regions Driven by an Eulerian Accurate Minimization Method for Image and Video Segmentation , 2002, International Journal of Computer Vision.

[5]  Michel Barlaud,et al.  Full occlusion management for wavelet-based video coding , 2005, 2005 13th European Signal Processing Conference.

[6]  Tony F. Chan,et al.  Active contours without edges , 2001, IEEE Trans. Image Process..