Proposing a new evaluation metric to improved view random access for multi-view video coding

The view random access is one of most important requirements for video compression algorithms. The acceleration of view random access can be obtained by the appropriate choice of the used prediction structure. This acceleration is achieved by several constraints. The choice of the prediction structure and the evaluation method can be among the most important constraints. In this research study, we propose an improved inter-view prediction structure that is mainly based on the use of successive B-views. Further, we describe a novel evaluation method in order to assess the efficiency of the proposed approach. This method is based on two metrics which are; the number of reference images needed to decode a given image, in addition to the maximum number of reference frames to consult a given image. Experimental results for the view random access have shown significant improvement that exceeds 37.5% with respect to the IBP prediction structure of the reference model JMVM. In the same way, the improved bit-rate of the proposed approach can reach 7.11 % with respect to the IBP structure for a similar video quality.