Decoding-Complexity-Aware HEVC Encoding Using a Complexity-Rate-Distortion Model

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 becoming ever more challenging with the increasing video resolutions and...

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Vydáno v:IEEE transactions on consumer electronics Ročník 64; číslo 1; s. 35 - 43
Hlavní autoři: Mallikarachchi, Thanuja, Talagala, Dumidu S., Arachchi, Hemantha Kodikara, Fernando, Anil
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.02.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Coding
Complexity
Complexity theory
Complexity–rate–distortion
Decoding
decoding complexity
decoding energy
Digital media
Distortion
Efficiency
Electronic devices
Encoding
Energy consumption
energy minimization
high efficiency video coding (HEVC)
Microprocessors
Rate distortion theory
Video compression
ISSN:0098-3063, 1558-4127
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Shrnutí: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 becoming ever more challenging with the increasing video resolutions and the complexity of the video coding algorithms. To this end, this paper proposes a framework that alters the video bit stream to reduce the decoding complexity and simultaneously limits the impact on the coding efficiency. In this context, this paper first performs an analysis to determine the tradeoff between the decoding complexity, video quality, and bit rate with respect to a reference decoder implementation on a general purpose processor architecture. Thereafter, a novel generic decoding complexity-aware video coding algorithm is proposed to generate decoding complexity-rate-distortion optimized High Efficiency Video Coding (HEVC) bit streams. The experimental results reveal that the bit streams generated by the proposed algorithm achieve 29.43% and 13.22% decoding complexity reductions for a similar video quality with minimal coding efficiency impact compared to the state-of-the-art approaches when applied to the HM16.0 and openHEVC decoder implementations, respectively. In addition, analysis of the energy consumption behavior for the same scenarios reveal up to 20% energy consumption reductions while achieving a similar video quality to that of HM 16.0 encoded HEVC bit streams.
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ISSN:0098-3063
1558-4127
DOI:10.1109/TCE.2018.2810479