Highly scalable video compression using a lifting-based 3D wavelet transform with deformable mesh motion compensation
Highly scalable video compression using a lifting-based 3D wavelet transform with deformable mesh motion compensation
复制标题
使用基于提升的 3D 小波变换和可变形网格运动补偿进行高度可扩展的视频压缩
DOI：
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
D. Taubman
中科院分区：
文献类型：
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作者：
Andrew Secker;D. Taubman
本文继续发展的一个新的框架建设的运动补偿小波变换的高度可伸缩的视频压缩。本文提出了一种基于运动补偿提升步长的运动自适应小波变换。这种方法克服了现有方法的一些局限性。特别是，帧扭曲和块位移方法不能有效地利用复杂的运动，而不牺牲可逆性。相比之下，运动补偿提升变换保持可逆，而不管运动模型。以前的工作主要是在块运动模型的上下文中。然而，块运动模型不可避免地产生不连续的运动场，其不能很好地表示真实的视频序列中的复杂运动。在本文中，我们认为一个连续的运动场的好处，通过将一个可变形的网格运动模型到现有的框架。实验结果表明，这导致提高压缩性能。此外，我们表明，连续运动场的可逆性允许更大的潜力compatible表示的运动信息。
This paper continues the development of a new framework for the construction of motion-compensated wavelet transforms for highly scalable video compression. The current authors recently proposed a motion adaptive wavelet transform based on motion-compensated lifting steps. This approach overcomes several limitations of existing methods. In particular, frame warping and block displacement methods cannot efficiently exploit complex motion without sacrificing invertibility. By contrast, the motion-compensated lifting transform remains invertible regardless of the motion model. The previous work was primarily in the context of a block motion model. However, block motion models inevitably yield discontinuous motion fields, which poorly represent complex motion in real video sequences. In this paper we consider the benefits of a continuous motion field, by incorporating a deformable mesh motion model into the existing framework. Experimental results show that this leads to improved compression performance. In addition, we show that the invertibility of continuous motion fields allows greater potential for compactly representing the motion information.