A Decoding-Complexity and Rate-Controlled Video-Coding Algorithm for HEVC
Kodikara Arachchi, Hemantha
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Video playback on mobile consumer electronic (CE) devices is plagued by fluctuations in the network bandwidth and by limitations in processing and energy availability at the individual devices. Seen as a potential solution, the state-of-the-art adaptive streaming mechanisms address the first aspect, yet the efficient control of the decoding-complexity and the energy use when decoding the video remain unaddressed. The quality of experience (QoE) of the end-users’ experiences, however, depends on the capability to adapt the bit streams to both these constraints (i.e., network bandwidth and device’s energy availability). As a solution, this paper proposes an encoding framework that is capable of generating video bit streams with arbitrary bit rates and decoding-complexity levels using a decoding-complexity–rate–distortion model. The proposed algorithm allocates rate and decoding-complexity levels across frames and coding tree units (CTUs) and adaptively derives the CTU-level coding parameters to achieve their imposed targets with minimal distortion. The experimental results reveal that the proposed algorithm can achieve the target bit rate and the decoding-complexity with 0.4% and 1.78% average errors, respectively, for multiple bit rate and decoding-complexity levels. The proposed algorithm also demonstrates a stable frame-wise rate and decoding-complexity control capability when achieving a decoding-complexity reduction of 10.11 (%/dB). The resultant decoding-complexity reduction translates into an overall energy-consumption reduction of up to 10.52 (%/dB) for a 1 dB peak signal-to-noise ratio (PSNR) quality loss compared to the HM 16.0 encoded bit streams.
Mallikarachchi, T., Talagala, D., Kodikara Arachchi, H., Hewage, C. and Fernand, A. (2020) 'A Decoding-Complexity and Rate-Controlled Video-Coding Algorithm for HEVC', Future Internet 2020, 12(7), 120.
Dynodwr Gwrthrych Digidol (DOI)https://doi.org/10.3390/fi12070120
Article published in Future Internet on 16 July 2020, available open access at: https://doi.org/10.3390/fi12070120.
Cardiff Metropolitan University (Grant ID: Cardiff Metropolian (Internal))
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Mallikarachchi, Thanuja; Talagala, Dumidu; Kodikara Arachchi, Hemantha; Fernando, Anil (Institute of Electrical and Electronics Engineers (IEEE), 2018-03-02)The energy consumption of consumer electronic (CE) devices during media playback is inexorably linked to the computational complexity of decoding compressed video. Reducing a CE device's the energy consumption is therefore ...
Mallikarachchi, Thanuja; Talagala, Dumidu; Kodikara Arachchi, Hemantha; Fernando, Anil (Institute of Electrical and Electronics Engineers (IEEE), 2017-01-08)The complexity of the novel video compression algorithms is a major contributor for the increased demand of processing and energy resources for video playback in consumer electronic devices. Therefore, a decoder complexity ...
Mallikarachchi, Thanuja; Talagala, Dumidu; Kodikara Arachchi, Hemantha; Fernando, Anil (Institute of Electrical and Electronics Engineers (IEEE), 2016-07-11)The rising demand for media consumption via mobile devices and the emergence of complex video coding algorithms present an additional challenge for the energy management algorithms in resource-constrained consumer electronic ...