Scalable Wyner-Ziv Video Coding with Adaptive Bit-Plane Representation
نویسندگان
چکیده
Scalable Wyner-Ziv video coding is desirable, especially for mobile devices with limited computational resources and bandwidth. However, the conventional bit-plane representation used in hybrid video coding does not work well in the scenario of Wyner-Ziv coding. As we know, the bit-plane representation is closely related to the quantization. In this paper, a new bit-plane representation with optimal quantization at any bit-plane is proposed. In particular, for the DCTdomain Wyner-Ziv video coding, since the distribution of DCT coefficients and the conditional distribution given side information can be modeled with symmetric Laplacian functions, a simplified adaptive bit-plane representation is proposed without pre-knowing the Laplacian distribution parameters. Based on the proposed bit-plane representation, a DCT-domain scalable Wyner-Ziv video coding scheme is proposed, in which the encoding and the bit-stream can be flexibly truncated according to the available computational resources and the bandwidth. No coding performance loss is introduced due to truncation.
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