基于仿射模型的无人机视频实时压缩算法
doi: 10.3724/SP.J.1146.2014.00080
A Real-time Video Compression for UAV Based on Affine Model
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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: 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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