CTU level decoder energy consumption modelling for decoder energy-aware HEVC encoding

2018 IEEE International Conference on Consumer Electronics (ICCE)

et al. 2018

Self Cite

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.

Section: Resultsmentioning

confidence: 99%

“…Thus, estimating the decoding complexity incurred at the decoder within the encoding loop is crucially challenging. In this context, the generic decoding complexity estimation models introduced in our previous works [8], [9] can be utilized and are integrated within the encoder.…”

Section: Decoding Complexity-distortion Analysismentioning

confidence: 99%

Decoding complexity-aware, rate, distortion optimized HEVC video encoding

2018 IEEE International Conference on Consumer Electronics (ICCE)

et al. 2018

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“…Furthermore, the complexity associated with the transform coefficient decoding, e coef f , can be modeled as a linear function of the number of non-zero transform coefficients [10]. In addition, the decoder complexity model and the profiling details for intra-predicted CUs are derived based on the information presented in [15].…”

Section: B Profiling the Complexity Of The Hevc Decodermentioning

confidence: 99%

“…Crucially, such frameworks require an accurate and detailed complexity estimation model that predicts the processing requirements of the decoder. The state-of-the-art models for the complexity estimation include approaches such as predicting the decoding energy of a bit stream using the decoder processing time [9], and the mapping of the relationships between the decoder complexity, content and the QP [10]. Moreover, Herglotz et al introduce two such models [11], [12] that estimate the HEVC decoding energy for intra-and inter-coded frames, respectively.…”

Section: Introductionmentioning

confidence: 99%

A feature based complexity model for decoder complexity optimized HEVC video encoding

2017 IEEE International Conference on Consumer Electronics (ICCE)

et al. 2017

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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 reduction mechanism is proposed which constitutes a model that predicts the decoder's complexity requirements to decode the HEVC encoded bit streams with a 4.2% average prediction error and a decoder complexity optimized encoding algorithm, which reduces the decoding complexity by an average of 28.06% and 41.19% with a-1.91 dB and-2.46 dB impact to the BD-PSNR for the low delay P and random access configurations, respectively.

“…Thus, detailed and accurate modelling of the decoding operation complexity is crucially important. To similar ends, the state-of-the-art techniques have exploited high-level complexity analysis of decoding operations [23], energy estimation based on decoding time [24], and mapping of decoding energy to the content and QP [25]. Yet, the level of details in these models is inadequate for a Coding Unit (CU) level decoding complexity estimation.…”

Section: Decoding Complexity -Rate -Distortion Analysis For Encomentioning

confidence: 99%

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

IEEE Trans. Consumer Electron.

et al. 2018

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Abstract-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 (i) first performs an analysis to determine the trade-off between the decoding complexity, video quality and bit rate with respect to a reference decoder implementation on a General Purpose Processor (GPP) architecture. Thereafter, (ii) 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.