Shen Qiu, Li Xiao-Fan, Kong Fan-Qiang, Dai Yu-Xi. A Real-time Video Compression for UAV Based on Affine Model[J]. Journal of Electronics & Information Technology, 2014, 36(12): 2855-2860. doi: 10.3724/SP.J.1146.2014.00080
Citation:
Shen Qiu, Li Xiao-Fan, Kong Fan-Qiang, Dai Yu-Xi. A Real-time Video Compression for UAV Based on Affine Model[J]. Journal of Electronics & Information Technology, 2014, 36(12): 2855-2860. doi: 10.3724/SP.J.1146.2014.00080
Shen Qiu, Li Xiao-Fan, Kong Fan-Qiang, Dai Yu-Xi. A Real-time Video Compression for UAV Based on Affine Model[J]. Journal of Electronics & Information Technology, 2014, 36(12): 2855-2860. doi: 10.3724/SP.J.1146.2014.00080
Citation:
Shen Qiu, Li Xiao-Fan, Kong Fan-Qiang, Dai Yu-Xi. A Real-time Video Compression for UAV Based on Affine Model[J]. Journal of Electronics & Information Technology, 2014, 36(12): 2855-2860. doi: 10.3724/SP.J.1146.2014.00080
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.