Abstract | ||
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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. |
Year | DOI | Venue |
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2012 | 10.1109/PCS.2012.6213331 | PCS |
Keywords | Field | DocType |
graphics processing units (gpu),feedback free distributed video codec,rate control algorithm,gpu,feedback channel,decoding process,ldpca code decoding algorithm,graphics processing units,general purpose computing,low density parity check code accumulate (ldpca),distributed video coding (dvc,parallelized design,offline correlation noise model,channel noises,discover,correlation noise model (cnm),dvc,video coding,ocnm,low density parity check code accumulate,delay constraint video application,3drs design,feedback free distributed video coding,feedback-free,parity check codes,parallel decoding,decoding,video codecs,noise,codecs,correlation,encoding | Graphics,Low-density parity-check code,Computer science,Communication channel,Robustness (computer science),Theoretical computer science,Coding (social sciences),Encoder,Decoding methods,Codec | Conference |
ISBN | Citations | PageRank |
978-1-4577-2048-2 | 1 | 0.36 |
References | Authors | |
3 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Feng Ye | 1 | 10 | 4.01 |
Aidong Men | 2 | 120 | 38.69 |
He Xiao | 3 | 120 | 6.96 |
Jinhong Di | 4 | 9 | 3.25 |
Bo Yang | 5 | 67 | 13.56 |