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A Fast Intra Mode Decision Algorithm Based on the Sum of Region- directional Dispersion for Virtual Reality 360-degree Video

机译:基于区域方向色散总和的虚拟现实360度视频快速帧内模式决策算法

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Burgeoning virtual reality technology allows people to experience the content of video authentically. In order to provide an immersive experience to user, virtual reality video needs higher resolution (4K and higher) and more data than traditional video, which increases the coding complexity extraordinary. In this paper, a fast intra mode decision algorithm based on the sum of region-directional dispersion is proposed. Based on the diverse degree of horizontal stretching in different latitude area, the relationship of the optimal intra prediction mode related to latitude area for coding units is obtained. A new metric named the sum of region-directional dispersion is defined to determine the mode selection interval, and the prediction mode where located the minimum sum of dispersion is used as the center mode of the selection interval. The optimal intra prediction mode is obtained by comparing it with other adjacent modes in the interval. Compared with the original reference software HM 16.20, the proposed algorithm can reduce the time in coding by 28.5%, while BD-rate only increases by 1.0%.
机译:蓬勃发展的虚拟现实技术使人们能够真实地体验视频内容。为了向用户提供身临其境的体验,虚拟现实视频需要比传统视频更高的分辨率(4K和更高)和更多的数据,这极大地增加了编码复杂度。提出了一种基于区域方向色散和的快速帧内模式决策算法。基于不同纬度区域中水平拉伸的不同程度,获得编码单元与纬度区域相关的最佳帧内预测模式的关系。定义了一个新的度量,称为区域方向色散总和,以确定模式选择间隔,并将最小色散总和所在的预测模式用作选择间隔的中心模式。通过将最佳帧内预测模式与该间隔中的其他相邻模式进行比较,可以获得最佳帧内预测模式。与原始参考软件HM 16.20相比,该算法可将编码时间减少28.5%,而BD速率仅增加1.0%。

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