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A low bit-rate video codec based on two-dimensional mesh motioncompensation with adaptive interpolation

机译:基于自适应插值的二维网格运动补偿的低码率视频编解码器

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Visual communication over low bandwidth channels, such as the telephone line, requires high compression. Motion estimation and compensation techniques play an important role in achieving high compression by reducing the temporal redundancy inherent in video sequences. Current video coding standards employ the block-matching algorithm to perform motion estimation that produces visually annoying blocking artifacts at low bit-rate. In contrast, 2-D mesh motion compensation produces blocking free prediction by generating a smooth full motion field from the set of node motion vectors using spatial interpolation. However, the assumption of a globally smooth motion field is not valid for most natural occurring scenes, where motion discontinuities exist due to moving objects. We propose a post-processing scheme that refines the set of node motion vectors obtained by the 2-D mesh motion estimation. The approach is to selectively break the smoothness constraint of 2-D mesh for patches that contain motion boundaries by changing the interpolation patterns. Experimental results show improvements in both PSNR and perceptual quality over the 2-D mesh motion compensation and a block-based standard video-coding standard H.263
机译:通过低带宽通道(例如电话线)的视觉通信需要高压缩率。运动估计和补偿技术通过减少视频序列中固有的时间冗余,在实现高压缩率方面起着重要作用。当前的视频编码标准采用块匹配算法来执行运动估计,该运动估计以低比特率产生视觉上令人讨厌的块状伪像。相反,二维网格运动补偿通过使用空间插值从节点运动向量集合中生成平滑的完整运动场,从而产生无阻塞预测。但是,全局平滑运动场的假设对于大多数自然发生的场景是无效的,在大多数自然场景中,由于运动对象而导致运动不连续。我们提出了一种后处理方案,该方案可以优化通过二维网格运动估计获得的节点运动矢量集。该方法是通过更改插值模式,针对包含运动边界的贴片有选择地打破二维网格的平滑度约束。实验结果表明,与二维网格运动补偿和基于块的标准视频编码标准H.263相比,PSNR和感知质量均得到了改善

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