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HEVC optimization based on human perception for real-time environments

机译：基于人类对实时环境的HEVC优化

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High-Efficiency Video Coding (HEVC) is the new emerging video coding standard of the ITU-T Video Coding Experts Group (VCEG) and the ISO/IEC Moving Picture Experts Group (MPEG). The HEVC standard provides a significant improvement in compression efficiency in comparison with existing standards such as H264/AVC by means of greater complexity. In this paper we will examine several HEVC optimizations based on image analysis to reduce its huge CPU, resource and memory expensive encoding process. The proposed algorithms optimize the HEVC quadtree partitioning procedure, intra/inter prediction and mode decision by means of H264-based methods and spatial and temporal homogeneity analysis which is directly applied to the original video. The validation process of these approaches was conducted by taking into account the human visual system (HVS). The adopted solution makes it possible to perform HEVC real time encoding for HD sequences on a low cost processor with negligible quality loss. Moreover, the frames pre-processing leverages the logic units and embedded hardware available on an Intel GPU, so the execution time of these stages are negligible for the encoding processor.
机译：高效视频编码（HEVC）是ITU-T视频编码专家组（VCEG）和ISO / IEC运动图像专家组（MPEG）的新兴视频编码标准。 HEVC标准的压缩效率与诸如H264 / AVC的现有标准相比，通过更大的复杂性提供了显着提高。在本文中，我们将根据图像分析检查几个HEVC优化，以减少其巨大的CPU，资源和内存昂贵的编码过程。所提出的算法通过基于H264的方法和空间和时间同质性分析来优化HEVC Quadtree分区过程，帧内/帧间预测和模式决定，其直接应用于原始视频。通过考虑人体视觉系统（HV）进行这些方法的验证过程。采用的解决方案使得可以在低成本处理器上执行用于高清序列的HEVC实时编码，质量损失可忽略不计。此外，帧预处理利用Intel GPU上可用的逻辑单元和嵌入式硬件，因此编码处理器的执行时间可以忽略不计。

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