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Motion Estimation Optimization Tools for the Emerging High Efficiency Video Coding (HEVC)

机译:新兴高效视频编码的运动估计优化工具(HEVC)

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Recent development in hardware and software allowed a new generation of video quality. However, the development in networking and digital communication is lagging behind. This prompted the establishment of the Joint Collaborative Team on Video Coding (JCT-VC), with an objective to develop a new high-performance video coding standard. A primary reason for developing the HEVC was to enable efficient processing and transmission for HD videos that normally contain large smooth areas; therefore, the HEVC utilizes larger encoding blocks than the previous standard to enable more effective encoding, while smaller blocks are still exploited to encode fast/complex areas of video more efficiently. Hence, the implementation of the encoder investigates all the possible block sizes. This and many added features on the new standard have led to significant increase in the complexity of the encoding process. Furthermore, there is not an automated process to decide on when large blocks or small blocks should be exploited. To overcome this problem, this research proposes a set of optimization tools to reduce the encoding complexity while maintaining the same quality and compression rate. The method automates this process through a set of hierarchical steps yet using the standard refined coding tools.
机译:硬件和软件的最新发展允许新一代视频质量。然而,网络和数字通信的发展落后于此。这促使在视频编码(JCT-VC)上建立联合协作团队,目的是开发新的高性能视频编码标准。开发HEVC的主要原因是为高清视频提供高效的处理和传输,通常包含大型平滑区域;因此,HEVC利用比以前标准更大的编码块,以实现更有效的编码,而仍然利用较小的块来更有效地对视频进行编码以编码快速/复杂的视频区域。因此,编码器的实现研究了所有可能的块大小。新标准上的此类和许多添加功能导致编码过程的复杂性显着增加。此外,当应该利用大块或小块时,没有自动化过程来决定。为了克服这个问题,这项研究提出了一组优化工具,以减少编码复杂性,同时保持相同的质量和压缩率。该方法通过使用标准精细编码工具的一组分层步骤自动化此过程。

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