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An integrated approach to block based motion estimation for video coding

机译:一种用于视频编码的基于块的运动估计的集成方法

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In video communication systems motion compensation techniques allow one to remove temporal redundancy among frames in order to achieve reductions in the bit rate. Block based approaches are widely used for such a task, since they offer a good balance between performance and complexity; however, the resulting motion fields still present spatial and temporal redundancies, the exploitation of which would allow a greater bit rate reduction. The motion estimation method proposed attains such a goal, maintaining the block based partitioning of the resulting field. It uses a spatio-temporal prediction followed by a lossy coding of the residual field by vector quantization. The prediction is based on autocompensation, enhanced with the aid of some additional parameters so that it provides a stationary error field. The statistical distribution of such a residual field allows vector quantization to perform efficiently, even when the method is applied to video sequences with extremely varying motion activities. Both the prediction and the vector quantization simply use an index for each block to code its motion vector. Finally, the indexes are spatially organized in two single images that are coded with a region based technique.
机译:在视频通信系统中,运动补偿技术允许人们删除帧之间的时间冗余,以实现比特率的降低。基于块的方法被广泛用于此类任务,因为它们在性能和复杂性之间取得了良好的平衡。然而,所产生的运动场仍然存在空间和时间上的冗余,对其的利用将允许更大的比特率降低。所提出的运动估计方法达到了这样的目标,即保持了结果块的基于块的划分。它使用时空预测,然后通过矢量量化对残留场进行有损编码。该预测基于自动补偿,并借助一些附加参数进行了增强,从而提供了固定的误差字段。这种残留场的统计分布使矢量量化可以高效执行,即使该方法应用于运动活动极为不同的视频序列时也是如此。预测和矢量量化都简单地为每个块使用索引来编码其运动矢量。最后,索引在空间上组织成两个单个图像,并使用基于区域的技术进行编码。

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