Feedback-free distributed video coding using parallelized design

Distributed video coding (DVC) has a great development during the past decade for its simpler encoder and higher robustness against the channel noises. However, typical DVC schemes, such as DISCOVER, are almost based on the feedback channel between the encoder and the decoder, and the decoding process is very complex, which causes difficulty in feedback-free or tight delay constraint video application. In order to resolve the problems mentioned above, a feedback-free distributed video codec with parallelized design is presented using general-purpose computing on graphics processing units (GPU). A rate control algorithm based on offline correlation noise model (OCNM) is proposed to improve the performance of the DVC system. Then the parallel decoding methods are applied, including parallel low density parity check code accumulate (LDPCA) code decoding algorithm and simplified 3DRS design. Compared to the system without using parallel technology, our parallel codec is shown to be 11~25 times faster by using GPU.