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Fast Intra-Mode Decision Algorithm for Virtual Reality 360 Degree Video Based on Decision Tree and Texture Direction

机译:基于决策树和纹理方向的虚拟现实360度视频快速模式内决策算法

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Virtual reality 360-degree video is now widely used in various fields. However, the huge amount of data caused by its high resolution increases the coding complexity. While the existing video coding framework, such as HEVC, is not optimized according to the characteristics of virtual reality video, in order to accelerate the speed of intra-mode decision process in video coding, a new algorithm is proposed in this paper. Each virtual reality 360-degree video frame is divided into two regions, namely the pole region and the equatorial region. The number of candidate modes in the pole region is reduced in advance according to the statistical distribution pattern of the modes, and intra-mode in the equatorial region is determined by the cart decision tree using the texture contrast of the coding unit. The experimental results show that compared with the original HM 16.20, the proposed algorithm can save the coding time by 28.3%, while only increasing the bd-rate by 0.612%.
机译:虚拟现实360度视频现已广泛应用于各个领域。然而,由于其高分辨率而导致的大量数据增加了编码复杂度。在不根据虚拟现实视频的特性对现有的视频编码框架如HEVC进行优化的同时,为了提高视频编码中帧内模式决策的速度,本文提出了一种新的算法。每个虚拟现实360度视频帧都分为两个区域,即极区和赤道区。根据模式的统计分布模式,极点区域中的候选模式的数量预先减少,并且赤道区域中的帧内模式由购物车决策树使用编码单元的纹理对比度来确定。实验结果表明,与原始的HM 16.20相比,该算法可节省28.3%的编码时间,而仅将bd速率提高0.612%。

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