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Probabilistic model to compress images for three-dimensional video

机译:概率模型,用于压缩三维视频的图像

摘要

A method includes receiving head-tracking data that describe one or more positions of people while the people are viewing a three-dimensional video. The method further includes generating a probabilistic model of the one or more positions of the people based on the head-tracking data, wherein the probabilistic model identifies a probability of a viewer looking in a particular direction as a function of time. The method further includes generating video segments from the three-dimensional video. The method further includes, for each of the video segments: determining a directional encoding format that projects latitudes and longitudes of locations of a surface of a sphere onto locations on a plane, determining a cost function that identifies a region of interest on the plane based on the probabilistic model, and generating optimal segment parameters that minimize a sum-over position for the region of interest.
机译:一种方法包括接收描述人们的一个或多个位置的头跟踪数据,而人们正在观看三维视频。该方法还包括基于头跟踪数据生成人们的一个或多个位置的概率模型,其中概率模型识别观察者作为时间的函数观看特定方向的观看者的概率。该方法还包括从三维视频生成视频片段。对于每个视频段,该方法还包括:确定将球体的表面的纬度和将球体的表面的位置和长度的定向编码格式在平面上的位置中,确定基于平面上的感兴趣区域的成本函数在概率模型上,并产生最小化感兴趣区域的总和的最佳段参数。

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