HUANG Ai-ai, CHEN Yao-wu. Rate distortion optimization based on partial decoding for scalable video coding[J]. Editorial Office of Optics and Precision Engineering, 2011,19(9): 2170-2176
HUANG Ai-ai, CHEN Yao-wu. Rate distortion optimization based on partial decoding for scalable video coding[J]. Editorial Office of Optics and Precision Engineering, 2011,19(9): 2170-2176 DOI: 10.3788/OPE.20111909.2170.
Rate distortion optimization based on partial decoding for scalable video coding
the original bit-stream can be cropped and generate multiple sub-bit-streams. In order to optimize coding efficiency of both the original bit-stream and the sub-bit-streams
partial decoding based on a Rate Distortion Optimization (RDO) algorithm is proposed. In the enhancement layers RDO process
the influence of sub-bit-streams on coding efficiency is predicted by selectively truncating Discrete Cosine Transform(DCT) coefficients.The propagation distortion map is then used to estimate the drift error. In the base layers RDO process
the multi-layer coding method is employed to cope with the constraint between the layers mode choice. In order to reduce the computational complexity of the algorithm
both the partially decoded reconstruction process and the base layers mode decision are optimized. Finally
the configuration of parameters is discussed and chosen adaptively based on the error propagation sensitivity on a macroblock basis. From experimental results
the proposed algorithm improves the sub-bit-streams Peak Signal to Noise Ratio(PSNR) by 0.03-0.53 dB. For the scalable video system
the proposal can meet the needs of high coding efficiency and flexible sub-bit-rate extraction.
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