Distributed video coding based on part intracoding and soft side information estimation |
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| Authors: | Guiguang Ding |
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| Affiliation: | (1) Key Laboratory for Information System Security, Ministry of Education, Tsinghua National Laboratory for Information Science and Technology, School of Software, Tsinghua University, Beijing, 100084, China |
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| Abstract: | Recently, distributed source coding (DSC) has been proposed to implement source compression by exploiting source statistics
at the decoder only, which enables low-complexity video coding. However, to date, the video codecs based on DSC have been
unable to compress as efficiently as traditional predictive video codecs, such as H.264. So, new techniques have to be investigated
to improve the performance of the distributed video coding scheme for practical applications. In this paper, I propose a novel
distributed video coding scheme based on part intracoding and soft side information estimation. Firstly, at the encoder side,
to improve the compression performance of distributed video coding system, we divide the video data into strongly correlative
data encoded by Slepian–Wolf codec and weakly correlative data encoded by Intracoding codec. Secondly, at the decoder side,
to improve the accuracy of side information estimation, a soft side information estimation method is proposed, which is more
suitable for video coding due to the non-stationary feature of video data. Our experimental results show that the performance
of our coding system is better than that of the traditional distributed video coding system while keeping the simple encoding
property. Also the concept of soft side information is a new idea in distributed video coding and will significantly influence
the side information estimation method.
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| Keywords: | Distributed source coding Video coding Side information Intracoding mode |
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