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Low latency ONM video compression method for UAV control and communication

机译:无人机控制和通信视频压缩方法的低延迟

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In this paper, we consider a method for compressing a digital video stream in a television link for unmanned aerial vehicle (UAV) control using psychophysical features of the human eye that allow, without complicating the equipment, to achieve higher visual image quality results and at the same time do not require high latency and computational complexity. It is achieved by dividing the fields into groups. There are fields of 3 types in a group: O-fields, which play the role of support; even N-fields coded by prediction-based compression using the previous field within one frame; Odd M-fields coded by prediction-based compression using the previous odd field from another frame. The proposed methods increase the efficiency of digital stream compression in a television link.
机译:在本文中,我们考虑使用人眼的心理物理特征在不复杂设备的情况下,使用人眼的心理物理特征来将数字视频流压缩在电视链路中的一种方法,而不会复杂设备,以实现更高的视觉图像质量结果和同一时间不需要高延迟和计算复杂性。它是通过将字段分成组来实现的。组中有3个类型的字段:O-Fields,扮演支持的作用;甚至使用基于预测的压缩编码的n个字段,使用一个帧内的先前字段;奇数M字段由基于预测的压缩编码,使用来自另一帧的前一个奇数字段。所提出的方法提高了电视链路中数字流压缩的效率。

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