Extending Video Decoding Energy Models for 360° and HDR Video Formats in HEVC

Kränzler M, Herglotz C, Kaup A (2019)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2019

Event location: Ningbo CN

URI: https://doi.org/10.48550/arXiv.2209.10268

DOI: 10.1109/PCS48520.2019.8954563

Abstract

Research has shown that decoder energy models are helpful tools for improving the energy efficiency in video playback applications. For example, an accurate feature-based bit stream model can reduce the energy consumption of the decoding process. However, until now only sequences of the SDR video format were investigated. Therefore, this paper shows that the decoding energy of HEVC-coded bit streams can be estimated precisely for different video formats and coding bit depths. Therefore, we compare a state-of-the-art model from the literature with a proposed model. We show that bit streams of the 360°, HDR, and fisheye video format can be estimated with a mean estimation error lower than 3.88% if the setups have the same coding bit depth. Furthermore, it is shown that on average, the energy demand for the decoding of bit streams with a bit depth of 10-bit is 55% higher than with 8-bit.

Authors with CRIS profile

Matthias Kränzler Lehrstuhl für Multimediakommunikation und Signalverarbeitung Christian Herglotz Lehrstuhl für Multimediakommunikation und Signalverarbeitung Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung

How to cite

APA:

Kränzler, M., Herglotz, C., & Kaup, A. (2019). Extending Video Decoding Energy Models for 360° and HDR Video Formats in HEVC. In Proceedings of the Picture Coding Symposium (PCS). Ningbo, CN.

MLA:

Kränzler, Matthias, Christian Herglotz, and André Kaup. "Extending Video Decoding Energy Models for 360° and HDR Video Formats in HEVC." Proceedings of the Picture Coding Symposium (PCS), Ningbo 2019.

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