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A Real-time Video Compression for UAV Based on Affine Model |
Shen Qiu Li Xiao-fan Kong Fan-qiang Dai Yu-xi |
College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China |
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Abstract Since the existing algorithms can not meet the requirements of real-time compression and transmission for UAV(Unmanned Aerial Vehicle) videos, a new real-time compression algorithm with low complexity for UAV videos is proposed. Considering the plane background and unified motion of UAV videos, the proposed method establishes an affine model for global motion estimation and compression. The experimental results demonstrate that the proposed algorithm is able to reduce the total encoding time while maintaining the performance compared with H.264, which the quality requirement and real-time performance for UAV videos transmission can be satisfied in most cases.
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Received: 13 January 2014
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Corresponding Authors:
Shen Qiu
E-mail: shenqiu@nuaa.edu.cn
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