Scalable video streaming transmission over cooperative communication networks based on frame significance analysis

A new resource allocation algorithm based on frame significance analysis is presented in this paper for scalable video streaming transmission over cooperative communication networks. First, by introducing frame significance analysis, the video quality dependency between coding frame and its references is explored for hierarchical b-picture (HBP) structure. Second, the cooperative communication networks which can provide various channels are used to transmit the scalable video streaming. The proposed algorithm allocates the relay and sub-band to each layer based on channel conditions and the priority of layered videos. Experimental results indicate that the proposed algorithm is superior to random allocation cooperative schemes and non-cooperative schemes.