关键词: Wyner-Ziv编码, 边信息, 图像组, 纹理能量

Abstract: Distributed Video Code (DVC) has gained more attention due to its low encoding complexity. Side information is one of the key factors influencing the rate-distortion performance. However, the correlation noise statistics describing the relationship between the frame to be encoded and the side information available at the decoder is not spatially stationary, and fixed Group of Pictures (GOP) will result in quality degradation of the side information. An adaptive GOP was proposed, which checked the block detail-level by analyzing its texture energy and modified the temporal structure (i.e. the length of GOP). 〖JP2〗The experimental results show that the proposed scheme can improve the overall performance and achieve the gain of Peak Signal-to-Noise Ratio (PSNR) about 1.8-2dB compared with the fixed one, meanwhile maintaining a low encode complexity.

Key words: Wyner-Ziv coding, side information, Group of Pictures （GoP）, texture energy