Reducing Computational Complexity in HEVC Decoder for Mobile Energy Saving

Naty Sidaty 1 Julien Heulot 2 Wassim Hamidouche 1 Maxime Pelcat 2 Daniel Menard 2
1 INSA Rennes - Institut National des Sciences Appliquées - Rennes
2 IETR - Institut d'Electronique et de Télécommunications de Rennes
Abstract : With the growing development of video applications and services for mobile devices, saving energy consumption when managing video is becoming a more and more important issue. The challenge is then to deliver video with high quality while reducing the energy consumption. In this paper, we investigate the relationship between subjective video quality and energy consumption in an HEVC decoder. By reducing the computational complexity of the decoder, drastic energy savings can be achieved without affecting the visual quality. In this paper, two computation methods and several filter configurations are tested. Results show that at least 10% of energy savings are obtained with the same subjective perceived quality. In addition, objective measurements have shown that only a slight quality degradation has been noticed.
Keywords : HEVC energy saving real time decoder
Document type :
Conference papers
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https://hal.archives-ouvertes.fr/hal-01580542
Contributor : Wassim Hamidouche <>
Submitted on : Friday, September 1, 2017 - 4:35:53 PM
Last modification on : Tuesday, February 5, 2019 - 3:58:22 PM

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  • HAL Id : hal-01580542, version 1

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IETR | UNIV-NANTES | UNIV-RENNES1 | IETR-VAADER | UR1-UFR-ISTIC | UNIV-RENNES | INSA-GROUPE

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Naty Sidaty, Julien Heulot, Wassim Hamidouche, Maxime Pelcat, Daniel Menard. Reducing Computational Complexity in HEVC Decoder for Mobile Energy Saving. European Signal Processing Conference (EUSIPCO 2017) , Aug 2017, Nos Island, Greece. ⟨hal-01580542⟩

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