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WAVELET-BASED VIDEO CODING: OPTIMAL USE OF MOTION INFORMATION FOR THE DECODING OF SPATIALLY SCALED VIDEO SEQUENCES

机译:基于小波的视频编码:最佳使用运动信息用于解码空间缩放的视频序列

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In this paper we discuss the how to best handle motion vectors in spatially scalable wavelet-based video decoders. Motion vectors with full resolution are normally included in the bit-steams relative to spatially scaled version of a video sequence. When a low-resolution version of the original sequence is received, the decoder must scale the motion vectors accordingly. We will show that the motion vector scaling (truncation) is not the best solution and that better results can be obtained by interpolating the subsampled sequence to full resolution using of the wavelet synthesis low-pass filter. We illustrate the results of experiments carried out with an in-band wavelet-based fully scalable coder that performs spatial analysis, followed by temporal filtering. Emphasis is given to the computation of the Overcomplete DWT in the spatially scalable scenario.
机译:在本文中,我们讨论了如何在空间可扩展的基于小波的视频解码器中最佳地处理运动矢量。 具有全分辨率的运动向量通常包括在位蒸汽中相对于空间缩放版本的视频序列。 当接收到原始序列的低分辨率版本时,解码器必须相应地缩放运动向量。 我们将表明运动矢量缩放(截断)不是最佳解决方案,并且可以通过将所述序列序列与小波合成低通滤波器的全分辨率插入来实现更好的结果来获得更好的结果。 我们说明了使用基于带内小波的完全可伸缩编码器进行的实验结果,该编码器执行空间分析,然后是时间滤波。 在空间可扩展的情况下,给出了过度计算的DWT的计算。

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