Decoding Complexity-Aware, Rate, Distortion Optimized HEVC Video Encoding

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Author
Mallikarachchi, Thanuja
Talagala, Dumidu
Kodikara Arachchi, Hemantha
Fernando, Anil
Date
2018-01-12
Acceptance date
2018
Type
Conference paper
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
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Abstract
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.
Journal/conference proceeding
2018 IEEE International Conference on Consumer Electronics (ICCE);
Citation
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.
URI
http://hdl.handle.net/10369/10380
DOI
https://doi.org/10.1109/ICCE.2018.8326110
Description
Conference paper published in 2018 IEEE International Conference on Consumer Electronic (ICCE), available at: https://doi.org/10.1109/ICCE.2018.8326110.
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