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Decoding Complexity-Aware, Rate, Distortion Optimized HEVC Video Encoding
conference contribution
posted on 2022-04-29, 08:47 authored by Thanuja MallikarachchiThanuja Mallikarachchi, Dumidu S. Talagala, Hemantha Kodikara Arachchi, Anil FernandoVideo 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.
History
Presented at
Conference paper published in 2018 IEEE International Conference on Consumer Electronic (ICCE), available at: https://doi.org/10.1109/ICCE.2018.8326110.Published in
2018 IEEE International Conference on Consumer Electronics (ICCE)Publisher
IEEEVersion
- AM (Accepted Manuscript)
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.Electronic ISSN
2158-4001ISBN
978-1-5386-3025-9Cardiff Met Affiliation
- Cardiff School of Technologies
Cardiff Met Authors
Thanuja MallikarachchiCopyright Holder
- © The Publisher
Language
- en
