@InProceedings{8081363,
  author = {N. Sidaty and J. Heulot and W. Hamidouche and E. Nogues and M. Pelcat and D. Menard},
  booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},
  title = {Reducing computational complexity in HEVC decoder for mobile energy saving},
  year = {2017},
  pages = {1026-1030},
  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 = {computational complexity;telecommunication power management;video coding;computational complexity;HEVC decoder;mobile energy;growing development;mobile devices;energy consumption;subjective video quality;visual quality;subjective perceived quality;energy savings;Decoding;Quality assessment;Energy consumption;Video recording;Standards;Computational complexity},
  doi = {10.23919/EUSIPCO.2017.8081363},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570344341.pdf},
}

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