Robust Rotational Motion Estimation for efficient HEVC compression of 2D and 3D navigation video sequences

In the context of test automation for automobiles, the compressed video recording of infotainment system components like navigation devices is a required practice. These recordings are then analyzed, archived, and forwarded to the responsible engineering teams. In order to compress navigation video sequences efficiently, the dominant rotational motion must be compensated properly. However, the process of Rotational Motion Estimation (RME) is hindered by the presence of static areas like info boxes and overlay graphics. We analyze this problem and show how to build masks for static areas in order to allow high speed feature transforms to be applied. With the acquired fast and accurate RME, we then demonstrate how to significantly reduce the required bitrate during HEVC encoding of navigation sequences.