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A low complexity picture-in-picture transcoder for video-on-demand

机译:用于视频点播的低复杂性图片译码器

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The paper presents a low complexity transcoding (LCT) approach with picture-in-picture (PIP) functionality based on H.264/AVC standard for video-on-demand (VOD) application. To address the high complexity of H.264 decoding and encoding tools, the novel and fast LCT approach composes a PIP frame in the transform domain based on an auxiliary bitstream. The auxiliary bitstream is generated along with the primary bitstream to provide the syntax elements including the transform coefficients and motion information for a rapid frame composition. To balance the transcoding speed and the rate-distortion (R-D) performance, the PIP transcoding with the auxiliary bitstream is applied to all inter-coded frames and the partially re-encoding transcoding is used for the infra-coded frames. By removing the high complexity modules including spatial interpolation, motion compensation, in-the-loop deblocking filter and inverse spatial prediction from the transcoding process of all inter-coded frames, the LCT approach can significantly increase the transcoding throughput with very low memory requirement. Our experimental results show that the R-D performance of the LCT scheme is almost identical to that of the cascaded re-encoding approach, which can provide the theoretical best quality with highest complexity. In addition, the LCT approach that allows users to select the location and size of the foreground frame is applicable to the applications with interactive PIP service.
机译:本文介绍了具有基于H.264 / AVC标准的图片in-inded-Demant(VOD)应用程序的图片中的图像in-in-picky(pip)功能的低复杂性转码(lct)方法。为了解决H.264解码和编码工具的高复杂性,新颖和快速LCT方法基于辅助比特流组成变换域中的PIP帧。辅助比特流与初级比特流一起生成,以提供包括用于快速帧组合物的变换系数和运动信息的语法元素。为了平衡代码转换速度和速率失真(R-D)性能,将具有辅助比特流的PIP转码应用于所有帧间编码帧,并且部分重新编码的转码用于内部编码帧。通过移除包括空间插值的高复杂性模块,运动补偿,从所有码个间帧的转码过程中的回路脱模滤波器和逆空间预测,LCT方法可以显着增加具有非常低的内存要求的转码吞吐量。我们的实验结果表明,LCT方案的R-D性能与级联重新编码方法的R-D性能几乎相同,可以提供最高复杂性的理论最佳质量。此外,允许用户选择前台框架的位置和大小的LCT方法适用于具有交互式PIP服务的应用程序。

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