Fast CU Split Decisions for HEVC Inter Coding Using Support Vector Machines

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Heindel A, Haubner T, Kaup A
Publication year: 2016


Abstract


High Efficiency Video Coding (HEVC) is known to be the state of the art in video compression. However, aiming at real-time applications, its very high number of possible coding options makes it necessary to approximate the selection of coding modes by fast algorithms. For this purpose Coding Unit (CU) split decisions are made by Support Vector Machine (SVM) classifiers in this paper. We use one SVM model per depth and the traditional Rate-Distortion Optimization (RDO) is used as fallback method in the case of uncertain SVM decisions. Regarding the sequence classes ClassB to ClassE, the proposed algorithm achieves encoding time reductions of more than 60%, accompanied by only 1.8% additional bitrate (lowdelay main configuration). Considering all sequence classes from ClassA to ClassF, the additional bitrate increases to 4% for the lowdelay main and about 3% for the randomaccess main configuration, with a similar encoding time reduction of more than 60%.


FAU Authors / FAU Editors

Haubner, Thomas
Professur für Nachrichtentechnik
Heindel, Andreas
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Kaup, Andre Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Heindel, A., Haubner, T., & Kaup, A. (2016). Fast CU Split Decisions for HEVC Inter Coding Using Support Vector Machines. Nuremberg, DE.

MLA:
Heindel, Andreas, Thomas Haubner, and Andre Kaup. "Fast CU Split Decisions for HEVC Inter Coding Using Support Vector Machines." Proceedings of the Picture Coding Symposium, Nuremberg 2016.

BibTeX: 

Last updated on 2018-10-08 at 23:27