Multi-Objective Design Space Exploration for the Optimization of the HEVC Mode Decision Process

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Herglotz C, Rosales R, Glaß M, Teich J, Kaup A
Publication year: 2016
Conference Proceedings Title: Proceedings of the Picture Coding Symposium (PCS)
ISBN: 978-1-5090-5966-9
ISSN: 2472-7822
Language: English


Abstract

Finding the best possible encoding decisions for compressing a video sequence is a highly complex problem. In this work, we propose a multi-objective Design Space Exploration (DSE) method to automatically find HEVC encoder implementations that are optimized for several different criteria. The DSE shall optimize the coding mode evaluation order of the mode decision process and jointly explore early skip conditions to minimize the four objectives a) bitrate, b) distortion, c) encoding time, and d) decoding energy. In this context, we use a SystemC-based actor model of the HM test model encoder for the evaluation of each explored solution. The evaluation that is based on real measurements shows that our framework can automatically generate encoder solutions that save more than 60% of encoding time or 3% of decoding energy when accepting bitrate increases of around 3%.


FAU Authors / FAU Editors

Glaß, Michael Prof. Dr.-Ing.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Herglotz, Christian Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Teich, Jürgen Prof. Dr.-Ing.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)


How to cite

APA:
Herglotz, C., Rosales, R., Glaß, M., Teich, J., & Kaup, A. (2016). Multi-Objective Design Space Exploration for the Optimization of the HEVC Mode Decision Process. In Proceedings of the Picture Coding Symposium (PCS). Nürnberg, DE.

MLA:
Herglotz, Christian, et al. "Multi-Objective Design Space Exploration for the Optimization of the HEVC Mode Decision Process." Proceedings of the Picture Coding Symposium(PCS), Nürnberg 2016.

BibTeX: 

Last updated on 2019-18-04 at 20:10