DENESTO: A Tool for Video Decoding Energy Estimation and Visualization

Kränzler M, Herglotz C, Kaup A (2020)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2020

Event location: Virtual Conference

DOI: 10.1109/VCIP49819.2020.9301877

Abstract

In previous research, it is shown that the decoding energy demand of several video codecs can be estimated accurately by using bit stream feature-based models. Therefore, we show in this paper that the visualization with the Decoding Energy Estimation Tool (DENESTO) can help to improve the understanding of the energy demand of the decoder.

Authors with CRIS profile

Matthias Kränzler Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Christian Herglotz Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

How to cite

APA:

Kränzler, M., Herglotz, C., & Kaup, A. (2020). DENESTO: A Tool for Video Decoding Energy Estimation and Visualization. In Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP). Virtual Conference.

MLA:

Kränzler, Matthias, Christian Herglotz, and André Kaup. "DENESTO: A Tool for Video Decoding Energy Estimation and Visualization." Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP), Virtual Conference 2020.

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