| Object-based video coding is based on image processing, pattern recognition and artificial intelligence. The physiological and psychological characteristics of human visual system and the properties of signal are used to get rid of redundant signals of the image. Object-based method is adopted to implement video compress coding. In this paper, the key method and algorithm of object-based video coding is researched. The head-shoulders video sequence coding is implemented which in many applications such as videophone, videoconference and human-computer interface, etc. This method is based on the need of MPEG-4 video coding standard and the improvement of key algorithm. Object-based video coding mostly includes video object segmentation and video object coding. First, the input images are segmented according to the demand of object-based video coding and the characteristics of the head-shoulders video sequences. Second, the different video object is coded by different means based on human visual system. Some improved methods are put forward through systematical studying and analyzing of current shape coding, texture coding and motion coding techniques. These new methods include BAB and motion compensation based shape coding, improved SA-DCT texture coding and block based adaptive rood pattern search motion estimation and compensation method. The result of experiments indicates that these improved methods are relatively efficient. These methods increase the coding efficiency and guarantee the quality of images by avoiding a great deal of redundant calculation. This research obtains certain academic and practical value of object-based video coding techniques.
|
PDF Full Text Request