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Low Complexity Video Encoding and High Complexity Decoding for UAV Reconnaissance and Surveillance

机译:低维度视频编码和高无人机侦察和监视的高复杂性解码

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Conventional video compression schemes such as H.264/AVC use a high complexity encoder with block motion estimation (ME) and a low complexity, low latency decoder. However, unmanned aerial vehicle (UAV) reconnaissance and surveillance applications require low complexity encoders but can accommodate high complexity decoders. Moreover, the video sequences in these applications often primarily have global motion due to the known movement of the UAV and camera mounts. Motivated by this scenario, we propose and investigate a low complexity encoder with global motion based frame prediction and no block ME. For fly-over videos, our encoder achieves more than a 40% bit rate savings over a H.264 encoder with ME block size restricted to 8 × 8 and at lower complexity. We also develop a high complexity decoder based on Kalman filtering along motion trajectories and show average PSNR improvements of up to 0.5 dB with respect to a classic low complexity decoder.
机译:诸如H.264 / AVC之类的传统视频压缩方案使用具有块运动估计(ME)的高复杂性编码器和低延迟解码器。然而,无人驾驶飞行器(UAV)侦察和监控应用需要低复杂性编码器,但可以适应高复杂性解码器。此外,由于UAV和相机安装座的已知运动,这些应用中的视频序列通常主要具有全局运动。通过这种情况激励,我们提出并调查了具有基于全局运动的帧预测的低复杂性编码器,并且没有阻挡我。对于飞越视频,我们的编码器通过H.264编码器实现了超过40%的比特率,其块尺寸限制在8×8且较低的复杂性。我们还基于Kalman滤波的高复杂性解码器沿运动轨迹,并显示出相对于经典低复杂性解码器的平均PSNR改进高达0.5dB。

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