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)
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, Andre 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, Nürnberg 2016.

BibTeX: 

Last updated on 2018-10-08 at 09:38