Performance Modeling and Evaluation of Prediction Structures in Multi-View Video Coding

So far, lots of prediction structures have been proposed to exploit the temporal and inter-view redundancy of multi-view video. However, none of them can adapt themselves to different video contents. In this sense, it is desirable to adaptively select different prediction structure for different multi-view video contents. In this paper, a solution is proposed to evaluate the performance of prediction structures. With this solution, the performance of any kind of prediction structure can be evaluated before actually applying them. The solution can also be used for the tradeoff optimization between compression efficiency and other functionalities such as random-access ability and view scalability.