Wang Feifeng, Chen Jing, Zeng Huanqiang, Cai Canhui. HEVC Multiple Description Video Coding with Parameters Reuse[J]. JOURNAL OF SIGNAL PROCESSING, 2020, 36(9): 1567-1573. DOI: 10.16798/j.issn.1003-0530.2020.09.022
Citation: Wang Feifeng, Chen Jing, Zeng Huanqiang, Cai Canhui. HEVC Multiple Description Video Coding with Parameters Reuse[J]. JOURNAL OF SIGNAL PROCESSING, 2020, 36(9): 1567-1573. DOI: 10.16798/j.issn.1003-0530.2020.09.022

HEVC Multiple Description Video Coding with Parameters Reuse

  • In order to improve the error resilient performance of video coding, and guarantee the reconstructed quality of video transmitted through unreliable channel, a multiple description video coding method based on parameter reuse for High Efficiency Video Coding (HEVC) is proposed in this paper. Polyphase down-sampling is used to generate four sub-sequences with interleaved rows and columns, two of which are encoded by a standard HEVC encoder. Meanwhile, the depth information of each coding unit (CU), the partition of predicting unit (PU) and intra prediction mode are extracted during the encoding process, which are reused by the other two subsequences to simplify the coding process. A standard coded subsequence is selected and combined with a simplified coded subsequence to generate description 1, while the other subsequences generate description 2. Different descriptions are transmitted by diverse channels. The multiple description coding structure ensures the reconstructed quality of video even only one description is received. The parameter reuse strategy makes use of the correlation between subsequences to reduce the redundant information and the coding overhead. The experimental results show that, the proposed MDVC coding method with parameters reuse has obvious effect on high-definition video, the average PSNR of side decoded video is only 0.7 dB lower than that of the central one. The coding time of simplified coding subsequences can be saved by 91.7% on average, this method realizes an error resilient HEVC solution with high efficiency and low complexity.
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