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Nonuniform Video Coding by Means of Multifoveal Geometries

机译:多中心几何的非均匀视频编码

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This paper presents a control mechanism for video transmission that relies qn transmitting nonuniform resolution images depending on the delay of the communication channel. These images are built in an active way to keep the areas of interest of the image at the highest resolution available. In order to shift the areas of high resolution over the image and to achieve a data structure that is easy to process by using conventional algorithms, a shifted foveal mul-tiresolution geometry of adaptive size is used. If delays are too high, the resolution areas of the image can be transmitted at different rates. A functional system has been developed for corridor surveillance with static cameras. Tests with real video images have proven that the method allows an almost constant rate of images per second as long as the channel is not collapsed. A new method for determining the areas of interest is also proposed, based on hierarchical object tracking by means of adaptive stabilization of pyramidal structures.
机译:本文提出了一种视频传输控制机制,该机制依赖于qn传输不均匀分辨率图像,具体取决于通信信道的延迟。这些图像以主动方式构建,以将图像的感兴趣区域保持在可用的最高分辨率。为了在图像上移动高分辨率区域并获得易于通过使用常规算法处理的数据结构,使用了自适应大小的移位中央凹多分辨率几何。如果延迟太高,则可以以不同的速率传输图像的分辨率区域。已经开发了用于使用静态摄像机进行走廊监视的功能系统。对真实视频图像的测试已经证明,只要通道不塌陷,该方法就可以每秒几乎恒定的图像速率。还提出了一种新的确定感兴趣区域的方法,该方法基于分层对象跟踪,借助金字塔结构的自适应稳定化。

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