Maximizing User Satisfaction By Improving Coding Efficiency Of Multiple Descriptions Coded Video

Abstract Due to the emerging technologies for video compression and broadband Internet video streaming services are made available. Live video streaming without delay is a reality now. However the available bandwidth has to be allocated optimally when video streaming takes place over a multicast network. This is because users have different requirement with respect to bandwidth. Moreover the users may need streaming to their mobile devices PCs or high definition TV. In order to allocate bandwidth based on user requirement the users can be grouped into various categories. This will facilitate to manage bandwidth allocation easily. This is achieved using MDC Multiple Description Coding in which video source is associated with various descriptions and the receivers are associated with one of the descriptions. This will automate the process of allocating different bandwidth to different users while the same video is being streamed. However allocating optimal bandwidth is a challenging task that needs research. In this Paper we consider this as an optimization problem. The aim is to maximize user bandwidth experience and satisfaction by improving coding efficiency pertaining to MDC. We developed an algorithm to achieve this. The simulation results of our algorithm reveal that it improves user satisfaction significantly.