Decoder energy-aware intra-coded HEVC bit stream generation
Kodikara Arachchi, Hemantha
Institute of Electrical and Electronics Engineers (IEEE)
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The rising demand for media consumption via mobile devices and the emergence of complex video coding algorithms present an additional challenge for the energy management algorithms in resource-constrained consumer electronic devices. Thus, generating energy-optimized video bit streams will positively contribute towards overcoming this challenge. This paper introduces a novel energy model for intra-frame decoding of HEVC encoded video that predicts the decoding energy of a coding unit. Thereafter, a novel energy-rate-distortion optimized coding mode selection algorithm is proposed to generate energy-efficient bit streams using the proposed energy model within the encoder. The proposed energy model is shown to predict the decoding energy of a coding unit with an average error less than 2%. Moreover, the proposed coding mode selection algorithm achieves an average 10.8% reduction in the energy consumed at the decoder with a -0.25 dB impact to the Bjøntegaard Delta-Peak Signal-to-Noise Ratio.
2016 IEEE International Conference on Multimedia and Expo (ICME);
Mallikarachchi, T., Talagala, D.S., Arachchi, H.K. and Fernando, A. (2016) 'Decoder energy-aware intra-coded HEVC bit stream generation', IEEE International Conference on Multimedia and Expo (ICME), 11 July, Seattle, WA, pp. 1-6. DOI: 10.1109/ICME.2016.7552964.
Conference paper published in 2016 IEEE International Conference on Multimedia and Expo (ICME), available at: https://doi.org/10.1109/ICME.2016.7552964.
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