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Video coding using arbitrarily shaped block partitions in globally optimal perspective

机译:在全局最佳角度下使用任意形状的块分区进行视频编码

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Algorithms using content-based patterns to segment moving regions at the macroblock (MB) level have exhibited good potential for improved coding efficiency when embedded into the H.264 standard as an extra mode. The content-based pattern generation (CPG) algorithm provides local optimal result as only one pattern can be optimally generated from a given set of moving regions. But, it failed to provide optimal results for multiple patterns from entire sets. Obviously, a global optimal solution for clustering the set and then generation of multiple patterns enhances the performance farther. But a global optimal solution is not achievable due to the non-polynomial nature of the clustering problem. In this paper, we propose a near-optimal content-based pattern generation (OCPG) algorithm which outperforms the existing approach. Coupling OCPG, generating a set of patterns after clustering the MBs into several disjoint sets, with a direct pattern selection algorithm by allowing all the MBs in multiple pattern modes outperforms the existing pattern-based coding when embedded into the H.264.
机译:使用基于内容的模式在宏块(MB)级别上分割运动区域的算法在嵌入到H.264标准中作为额外模式时,具有提高编码效率的潜力。基于内容的图案生成(CPG)算法可提供局部最佳结果,因为只能从给定的一组运动区域中最佳生成一个图案。但是,它无法为整个集合中的多个模式提供最佳结果。显然,用于对集合进行聚类然后生成多个模式的全局最佳解决方案可以进一步提高性能。但是由于聚类问题的非多项式性质,无法获得全局最优解。在本文中,我们提出了一种基于最佳内容的模式生成(OCPG)算法,该算法优于现有方法。耦合OCPG,在将MB集群成几个不相交的集合之后生成一组模式,通过直接模式选择算法,通过允许所有处于多个模式模式的MB嵌入到H.264中,其性能优于现有的基于模式的编码。

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