首页> 外文会议>Image Processing, 1997. Proceedings., International Conference on >Adaptive motion vector resampling for compressed video down-scaling
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Adaptive motion vector resampling for compressed video down-scaling

机译:自适应运动矢量重采样,用于压缩视频缩小

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Digital video is becoming widely available only in the compressed form. In applications such as video browsing or picture-in-picture or transcoding for a lower bit rate, there is a need to downscale the video before transmission. In such instances, the conventional approach of generating a downscaled video bitstream at the video server is to first decompress the video, perform the downscaling operation in the pixel domain and then recompress it for efficient delivery. This process is computationally expensive due to the motion-estimation process needed during the recompression phase. We propose an alternative compressed domain based approach that computes the motion vectors for the downscaled (N/2/spl times/N/2) video sequence directly from the original motion vectors residing in the N/spl times/N video sequence. Furthermore, the downscaling of the DCT information is also done in the DCT domain. The proposed approach can lead to significant computational savings compared to the conventional spatial domain approach.
机译:数字视频只能以压缩形式广泛使用。在诸如视频浏览或画中画或较低比特率的代码转换之类的应用中,需要在传输之前缩小视频的比例。在这种情况下,在视频服务器上生成缩减视频比特流的常规方法是首先解压缩视频,在像素域中执行缩减操作,然后再将其重新压缩以进行有效传送。由于在重新压缩阶段需要进行运动估计,因此此过程的计算量很大。我们提出了一种基于压缩域的替代方法,该方法直接从驻留在N / spl次/ N个视频序列中的原始运动矢量为缩减后的(N / 2 / spl次/ N / 2)视频序列计算运动矢量。此外,DCT信息的缩减也在DCT域中完成。与传统的空间域方法相比,所提出的方法可以节省大量计算资源。

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