Improving HEVC Encoding of Rendered Video Data Using True Motion Information
Christian Herglotz, David Muller, Andreas Weinlich, Frank Bauer, Michael Ortner, Marc Stamminger, André Kaup · 2018
This paper shows that motion vectors representing the true motion of an object in a scene can be exploited to improve the encoding process of computer generated video sequences. Therefore, a set of sequences is presented for which the true motion vectors of the corresponding objects were generated on a per-pixel basis during the rendering process. In addition to conventional motion estimation methods, it is proposed to exploit the computer generated motion vectors to enhance the rate-distortion performance. To this end, a motion vector mapping method including disocclusion handling is presented. It is shown that mean rate savings of 3.78% can be achieved.