Journal Article10.1016/J.JVCIR.2015.12.005
Low complexity encoder optimization for HEVC
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TL;DR: A low complexity encoder optimization scheme is proposed by reducing the number of available candidates for evaluation in terms of the intra prediction mode decision, early termination of coding unit (CU) splitting and adaptive reference frame selection and can achieve more than 40% complexity reduction on average.
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About: This article is published in Journal of Visual Communication and Image Representation. The article was published on 01 Feb 2016. The article focuses on the topics: Encoder & Rate–distortion optimization.
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Citations
Content-Based Light Field Image Compression Method With Gaussian Process Regression
TL;DR: Experimental results demonstrate that the proposed LF image compression method is superior to several other state-of-the-art compression methods in terms of different quality metrics.
63
Mass center direction-based decision method for intraprediction in HEVC standard
TL;DR: An improved intraprediction mode decision method is presented to accelerate intracoding of HEVC and indicates that the proposed method reduces the encoding time significantly as compared with the HM-16.19 reference software with negligible loss of peak signal-to-noise ratio quality.
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Adaptive inter CU partitioning based on a look-ahead stage for HEVC
TL;DR: A main focus of this paper is on tackling complexity by means of a fast partitioning and mode decision algorithm based on a look-ahead stage that can reduce the encoding time by 65.33%, at the expense of only a 1.35% BD-rate for the random access configuration.
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Possibility distribution based lossless coding and its optimization
Zhichu He,Lu Yu +1 more
TL;DR: This paper treats the probability distribution prediction as a possibility distribution prediction process and uses estimated possibility distribution to code the source and finds that code rate is the cost for inaccurate possibility distribution Prediction.
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Fast intra coding unit size decision for HEVC with GPU based keypoint detection
Falei Luo,Shanshe Wang,Siwei Ma,Nan Zhang,Yun Zhou,Wen Gao +5 more
- 01 May 2017
TL;DR: A fast intra Coding Unit (CU) size decision framework based on keypoint detection on Graphic Processing Unit (GPU) is proposed, which is able to avoid bringing in additional computational complexity even in realtime systems.
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References
Overview of the High Efficiency Video Coding (HEVC) Standard
TL;DR: The main goal of the HEVC standardization effort is to enable significantly improved compression performance relative to existing standards-in the range of 50% bit-rate reduction for equal perceptual video quality.
Rate-distortion optimization for video compression
Gary J. Sullivan,Thomas Wiegand +1 more
TL;DR: Based on the well-known hybrid video coding structure, Lagrangian optimization techniques are presented that try to answer the question: what part of the video signal should be coded using what method and parameter settings?
2K
Comparison of the Coding Efficiency of Video Coding Standards—Including High Efficiency Video Coding (HEVC)
TL;DR: The results of subjective tests for WVGA and HD sequences indicate that HEVC encoders can achieve equivalent subjective reproduction quality as encoder that conform to H.264/MPEG-4 AVC when using approximately 50% less bit rate on average.
1.4K
HEVC Complexity and Implementation Analysis
TL;DR: Overall, the complexity of HEVC decoders does not appear to be significantly different from that of H.264/AVC decoder; this makes HEVC decoding in software very practical on current hardware.
Intra Coding of the HEVC Standard
TL;DR: The design principles applied during the development of the new intra coding methods are discussed, the compression performance of the individual tools is analyzed, and the bitrate reduction provided by the HEVC intra coding over the H.264/advanced video coding reference is reported to be 22% on average and up to 36%.
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