Temporal scalable video transmission using multi-reference prediction chain coding

This paper presents a novel multiple reference picture selection scheme, named multi-reference prediction chain to encode video. Temporal scalability is obtained from the prediction scheme in which prediction chains are constructed for the pattern of prediction dependency between P-frames. The inter-chain independency also endows the video with error recovery ability. We dynamically manage the prediction chains of a group of frames using a rate-distortion optimization framework that adapts to the channel bandwidth so that the expected end-to-end video quality may be achieved under a given rate constraint. The expected error resilient ability could be achieved by the entirely recovery of the error chains. In our algorithm the video is pre-encoded and to be transported partly with temporal scalability. The simulation results show that our algorithm is feasible in temporal scalability and high performance in error resilience.