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A new content-based hybrid video transcoding method

机译:一种新的基于内容的混合视频转码方法

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Many video transcoding architectures have been proposed to reduce the bitrates of compressed video bitstreams. Requantization of transformed coefficients (such as DCT coefficients), spatial resolution down-sampling, and temporal resolution down-sampling are the three transcoding tools which are commonly used to reduce compressed video bitrates. We propose a new video transcoding method that combines the use of different transcoding tools to transcode compressed video bit streams to various target bitrates while maintaining good subjective/objective video quality. The transcoding tools are selected based on the video content, which is characterized by two video content descriptors inferring the video spatial and motion activities, respectively. These two content descriptors can be readily computed from the compressed video bit streams without full decompression. Experimental results show that the proposed method can provide better video quality than other existing transcoders that make use of a single transcoding tool.
机译:已经提出了许多视频代码转换架构来减少压缩视频比特流的比特率。转换系数(例如DCT系数)的重新量化,空间分辨率下采样和时间分辨率下采样是三种通常用于减少压缩视频比特率的转码工具。我们提出了一种新的视频转码方法,该方法结合使用不同的转码工具将压缩的视频比特流转码为各种目标比特率,同时保持良好的主观/客观视频质量。基于视频内容选择代码转换工具,其特征在于两个视频内容描述符分别推断视频空间和运动活动。这两个内容描述符可以很容易地从压缩视频比特流中计算出来,而无需完全解压缩。实验结果表明,与使用单个转码工具的其他现有转码器相比,该方法可提供更好的视频质量。

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