Improving HEVC Encoding of Rendered Video Data Using True Motion Information
Herglotz C, Müller D, Weinlich A, Bauer F, Ortner M, Stamminger M, Kaup A (2018)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2018
Event location: Taichung
URI: http://arxiv.org/abs/2309.06945
Abstract
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.
Authors with CRIS profile
Christian Herglotz
Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)
Andreas Weinlich
Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)
Frank Bauer
Chair of Visual Computing (LGDV)
Marc Stamminger
Chair of Visual Computing (LGDV)
Andre Kaup
Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)
How to cite
APA:
Herglotz, C., Müller, D., Weinlich, A., Bauer, F., Ortner, M., Stamminger, M., & Kaup, A. (2018). Improving HEVC Encoding of Rendered Video Data Using True Motion Information. In Proceedings of the 20th IEEE International Symposium on Multimedia (ISM). Taichung, TW.
MLA:
Herglotz, Christian, et al. "Improving HEVC Encoding of Rendered Video Data Using True Motion Information." Proceedings of the 20th IEEE International Symposium on Multimedia (ISM), Taichung 2018.
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