Moving Object Segmentation in Compressed Domain for H.264/AVC
基于H.264/AVC的压缩域运动对象分割方法

Most of the current moving object segmentation algorithms in compressed domain were focused on the MPEGx video standards which were complexity intensive due to the use of complex mathematical models. In order to resolve these problems, a new temporal-spatio method for moving object segmentation (TSMOS) in H.264/AVC compressed domain was proposed. DCT coefficients and motion vectors (MV) in bits stream were mainly used in this algorithm. Firstly, the differential mask of moving object was abstracted using the DCT coefficients difference (QDCD) between adjacent frames and followed by morphological processing. Then the methods of normalizing MV, weighted extended vector median (WEVM) filter on the MV fields and the existent segmentation results projection were utilized to obtain the moving mask of object. Finally, accurate moving objects segmentation results were achieved by combining the differential mask and the moving mask. The experiments on H.264/AVC test sequences demonstrated the validity of the proposed methods.