基于仿射模型的无人机视频实时压缩算法

发布时间：2018-08-18 16:09

【摘要】：在现有算法无法满足无人机视频实时压缩传输需求的应用背景下,该文提出一种新的低复杂度无人机(Unmanned Aerial Vehicle,UAV)视频实时压缩算法,利用无人机视频的背景平面性、运动一致性等特点,建立仿射模型描述视频的全局运动,并根据模型参数进行视频压缩。实验结果表明,与现有压缩算法H.264相比,该算法在保证压缩性能的前提下,大量减少了压缩时间,可满足大多数情况下无人机视频传输的质量要求和实时性要求。
[Abstract]:Under the background that the existing algorithms can not meet the demand of UAV video real-time compression, this paper proposes a new real-time video compression algorithm for UAV (Unmanned Aerial vehicle UAV) with low complexity, which utilizes the background planarity of UAV video. The affine model is established to describe the global motion of the video, and the video is compressed according to the parameters of the model. The experimental results show that compared with the existing compression algorithm H.264, the proposed algorithm can greatly reduce the compression time and meet the quality and real-time requirements of UAV video transmission in most cases.
【作者单位】：南京航空航天大学航天学院;
【基金】：国家自然科学基金(61201365) 南京航空航天大学基本科研业务费专项项目(NS2012071) 南京航空航天大学青年科技创新基金(NS2013085) 南京航空航天大学研究生创新基地(实验室)开放基金(kfjj201457) 中央高校基本科研业务费专项资金资助课题
【分类号】：TN919.81

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