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Wyner-Ziv 视频编码与分类相关噪声估计和关键帧编码模式选择。

Wyner-Ziv video coding with classified correlation noise estimation and key frame coding mode selection.

机构信息

Department of Electrical and Computer Engineering, University of California, San Diego, CA 92093-0407, USA.

出版信息

IEEE Trans Image Process. 2011 Sep;20(9):2463-74. doi: 10.1109/TIP.2011.2121079. Epub 2011 Mar 3.

DOI:10.1109/TIP.2011.2121079
PMID:21382768
Abstract

We improve the overall rate-distortion performance of distributed video coding by efficient techniques of correlation noise estimation and key frame encoding. In existing transform-domain Wyner-Ziv video coding methods, blocks within a frame are treated uniformly to estimate the correlation noise even though the success of generating side information is different for each block. We propose a method to estimate the correlation noise by differentiating blocks within a frame based on the accuracy of the side information. Simulation results show up to 2 dB improvement over conventional methods without increasing encoder complexity. Also, in traditional Wyner-Ziv video coding, the intercorrelation of key frames is not exploited since they are simply intracoded. In this paper, we propose a frequency band coding mode selection for key frames to exploit similarities between adjacent key frames at the decoder. Simulation results show significant improvement especially for low-motion and high frame rate sequences. Furthermore, the advantage of applying both schemes in a hierarchical order is investigated. This method achieves additional improvement.

摘要

我们通过关联噪声估计和关键帧编码的有效技术来提高分布式视频编码的整体率失真性能。在现有的变换域 Wyner-Ziv 视频编码方法中,即使每个块生成辅助信息的成功率不同,帧内的块也被统一处理以估计关联噪声。我们提出了一种基于辅助信息的准确性来区分帧内块的方法来估计关联噪声。仿真结果表明,与传统方法相比,在不增加编码器复杂度的情况下,可提高 2dB。此外,在传统的 Wyner-Ziv 视频编码中,由于关键帧只是内部编码的,因此没有利用它们之间的互相关性。在本文中,我们提出了一种针对关键帧的频带编码模式选择方法,以在解码器中利用相邻关键帧之间的相似性。仿真结果表明,特别是对于低运动和高帧率序列,该方法具有显著的改进。此外,还研究了在分层结构中应用这两种方案的优势。该方法实现了额外的改进。

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