Rate control for transform domain Wyner-Ziv video coding

In order to reduce the transform domain Wyner-Ziv video decoding complexity, an effective rate control algorithm is proposed by utilizing the characteristic of feedback channel and temporal correlation. The encoder estimates the minimal number of rate chunks. According to the average number of requests and temporal correlations among coefficient bands, the suitable initial rate chunks are obtained thereafter by adjusting the minimal rate chunks, the chunks can effectively control the number of requests and reduce the decoding complexity. Experiments show that the proposed algorithm can greatly reduce decoding complexity without negatively impacting the coding efficiency.