A contex-based predictive coder for lossless and near-lossless compression of video

K. Yang, A. Faryar
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引用次数: 36

Abstract

We propose a new approach to context-based predictive coding of video, where the interframe or intraframe coding mode is adaptively selected on a pixel basis. We perform the coding mode selection using only the previously reconstructed samples which are also available at the decoder, so that any overhead information on the coding mode selection does not need to be transmitted to the decoder. The proposed coder also provides the lossless concatenated coding property when applied to multigeneration of video sequences since the same coding mode information is available at the second time encoding. The proposed coding mode selection enables the coder to easily incorporate error modeling and context modeling by performing the intraframe coding with one of the existing image coders such as the JPEG-LS standard. Experiments show that the proposed approach in conjunction with the JPEG-LS standard provides significant improvements in compression efficiency.
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一种基于上下文的预测编码器,用于视频的无损和近无损压缩
我们提出了一种新的基于上下文的视频预测编码方法,其中帧间或帧内编码模式在像素基础上自适应选择。我们只使用先前重构的样本来执行编码模式选择,这些样本在解码器上也可用,因此编码模式选择的任何开销信息都不需要传输到解码器。由于在第二次编码时可获得相同的编码模式信息,因此所提出的编码器在应用于多代视频序列时还提供无损拼接编码特性。所提出的编码模式选择使编码器能够通过使用现有的图像编码器之一(如JPEG-LS标准)执行帧内编码来轻松地合并错误建模和上下文建模。实验表明,该方法与JPEG-LS标准相结合,压缩效率得到显著提高。
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