4K Ultra High Definition Video Coding Using Homogeneous Motion Discovery Oriented Prediction

2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2017-11-01 DOI:10.1109/DICTA.2017.8227385

Ashek Ahmmed, Afrin Rahman, M. Pickering, A. Naman

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引用次数: 1

Abstract

State of the art video compression techniques use the motion model to approximate geometric boundaries of moving objects where motion discontinuities occur. Motion hints based inter- frame prediction paradigm moves away from this redundant approach and employs an innovative framework consisting of motion hint fields that are continuous and invertible, at least, over their respective domains. However, estimation of motion hint is computationally demanding, in particular for high resolution video sequences. Discovery of homogeneous motion models and their associated masks over the current frame and then use these models and masks to form a prediction of the current frame, provides a computationally simpler approach to video coding compared to motion hint. In this paper, the potential of this coherent motion model based approach, equipped with bigger blocks, is investigated for coding 4K Ultra High Definition (UHD) video sequences. Experimental results show a savings in bit rate of 4.68% is achievable over standalone HEVC.

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基于均匀运动发现预测的4K超高清视频编码

最先进的视频压缩技术使用运动模型来近似运动不连续性发生的运动对象的几何边界。基于运动提示的帧间预测范式摆脱了这种冗余的方法，并采用了一种创新的框架，该框架由运动提示字段组成，这些字段至少在各自的域中是连续和可逆的。然而，运动提示的估计对计算量要求很高，特别是对于高分辨率的视频序列。发现当前帧上的均匀运动模型及其相关掩码，然后使用这些模型和掩码形成当前帧的预测，与运动提示相比，提供了一种计算更简单的视频编码方法。在本文中，研究了这种基于相干运动模型的方法的潜力，配备了更大的块，用于4K超高清视频序列的编码。实验结果表明，在独立的HEVC上可以节省4.68%的比特率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)

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