Decoding Complexity-Aware, Rate, Distortion Optimized HEVC Video Encoding
Kodikara Arachchi, Hemantha
Institute of Electrical and Electronics Engineers (IEEE)
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Video content adaptation has become a popular application layer approach to reduce the decoding complexity and the associated energy consumption of video playback. In this context, this paper proposes an encoding algorithm to generate less complex HEVC bit streams with minimal impact to the coding efficiency. The experimental results reveal a -17.27 % average decoding complexity reduction and up to -24.91 % energy reduction for openHEVC based software decoding with only -0.73 dB BD-PSNR loss.
2018 IEEE International Conference on Consumer Electronics (ICCE);
Mallikarachchi, T., Talagala, D.S., Arachchi, H.K. and Fernando, A. (2018) 'Decoding complexity-aware, rate, distortion optimized HEVC video encoding', IEEE International Conference on Consumer Electronics, 12 January, Las Vegas, NV., pp. 1-4. DOI: 10.1109/ICCE.2018.8326110.
Conference paper published in 2018 IEEE International Conference on Consumer Electronic (ICCE), available at: https://doi.org/10.1109/ICCE.2018.8326110.