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

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conference contribution
posted on 29.04.2022, 08:47 by Thanuja MallikarachchiThanuja Mallikarachchi, Dumidu S. Talagala, Hemantha Kodikara Arachchi, Anil Fernando

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. 

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

IEEE

Version

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

2158-4001

ISBN

978-1-5386-3025-9

Cardiff Met Affiliation

  • Cardiff School of Technologies

Cardiff Met Authors

Thanuja Mallikarachchi

Copyright Holder

© The Publisher

Language

en