An overviewof texture and motion based video coding at Purdue University

In recent years there has been a growing interest in developing novel techniques for increasing the coding efficiency of video compression methods. We approach the problem by not encoding all the pixels, in particular, regions belonging to areas that the viewer will not perceive the specific details in the scene could be skipped or encoded at a much lower data rate. This approach can also be expanded by considering a model of the human visual perception system. In this paper we review some of the approaches we have investigated at Purdue University. The goal is to determine where ldquodetail-irrelevantrdquo regions in the frame are located and not encode them. We will also discuss a set of subjective quality evaluation experiments to determine what is the overall perceptual quality of these approaches.