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Probabilistic Approach for Predicting the Size of Coding Units in the Quad-Tree Structure of the Quality and Spatial Scalable HEVC

机译:预测质量和空间可扩展HEVC的四叉树结构中编码单元大小的概率方法

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摘要

The scalable extension of HEVC (known as SHVC), the recent scalable video coding standard, results in an improved compression performance at the cost of significant increase in computational coding complexity. One of the main factors that contribute to the SHVC encoder complexity is choosing the best partitioning structure for the coding tree units (CTUs). Our study focuses on developing a scheme for predicting the CTU structure in the quality and spatial scalable extension of HEVC. The proposed scheme uses the CTU partitioning structure of the already encoded CTUs in the enhancement layers (ELs) and base layer (BL) to predict the coding unit sizes of the to-be-encoded CTUs in the EL. Performance evaluations confirm that our proposed complexity reduction scheme significantly reduces the execution time of the SHVC encoder, while maintaining the overall quality of the coded streams.
机译:HEVC(称为SHVC)(最近的可伸缩视频编码标准)的可伸缩扩展以显着增加计算编码复杂性为代价,带来了改进的压缩性能。影响SHVC编码器复杂性的主要因素之一是为编码树单元(CTU)选择最佳的分区结构。我们的研究重点是开发一种用于预测HEVC的质量和空间可扩展性扩展中的CTU结构的方案。所提出的方案使用增强层(EL)和基础层(BL)中已经编码的CTU的CTU划分结构来预测EL中待编码的CTU的编码单元大小。性能评估证实,我们提出的降低复杂度的方案可以显着减少SHVC编码器的执行时间,同时还能保持编码流的整体质量。

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