Modeling the HEVC Encoding Energy Using the Encoder Processing Time

Ramasubbu G, Kaup A, Herglotz C (2022)


Publication Language: English

Publication Type: Conference contribution

Publication year: 2022

Event location: Bordeaux

URI: http://arxiv.org/abs/2207.02676

DOI: 10.1109/ICIP46576.2022.9897306

Abstract

The global significance of energy consumption of video communication renders research on the energy need of video coding an important task. To do so, usually, a dedicated setup is needed that measures the energy of the encoding and decoding system. However, such measurements are costly and complex. To this end, this paper presents the results of an exhaustive measurement series using the x265 encoder implementation of HEVC and analyzes the relation between encoding time and encoding energy. Finally, we introduce a simple encoding energy estimation model which employs the encoding time of a lightweight encoding process to estimate the encoding energy of complex encoding configurations. The proposed model reaches a mean estimation error of 11.35% when averaged over all presets. The results from this work are useful when the encoding energy estimate is required to develop new energy-efficient video compression algorithms.

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How to cite

APA:

Ramasubbu, G., Kaup, A., & Herglotz, C. (2022). Modeling the HEVC Encoding Energy Using the Encoder Processing Time. In Proceedings of the IEEE International Conference on Image Processing (ICIP) 2022. Bordeaux.

MLA:

Ramasubbu, Geetha, André Kaup, and Christian Herglotz. "Modeling the HEVC Encoding Energy Using the Encoder Processing Time." Proceedings of the IEEE International Conference on Image Processing (ICIP) 2022, Bordeaux 2022.

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