The motion vector for standard MPEG motion compensation is associated to fixed blocks of size 16*16. In many situations, the moving objects are not described by these blocks. In this thesis, we hope to remove this restriction by searching and modifying the motion vectors for moving objects with non-block shape. There are three stages in our motion compression: segmentation of the moving object, modified motion compensation, and Huffman coding for the difference. The first stage is most important part in our work. The major concepts of our segmentation are based upon optical flow segmentation and modification by morphological filtering. Displacement information is important in dynamic image analysis. The method of optical flow has been well applied to compute the displacement in the field of computer vision. We apply the method of optical flow to compute the displacement information and then segment the image by the displacement vectors. This segmented image is further improved by morphology operations, opening and closing. Our modified motion compensation is focus on the segmented moving objects. Therefore, the required coding information for moving object is only the motion vector associated to the motion objects. The shapes of motion objects are obtained from prediction. Experiments have demonstrated that our coding efficiency is inferior to the standard MPEG by 32 %. This is probably we do not have our optimized Huffman coding for the difference coding after motion compensation.

No description available.

No description available.