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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
Date Deposited
2019-03-15
Type
Conference paper
acceptedVersion
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
ISSN
2158-4001
Metadata
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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.
Rights
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.http://www.rioxx.net/licenses/all-rights-reserved
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