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Journal Article Complexity Reduction Algorithm for Prediction Unit Decision Process in High Efficiency Video Coding
Cited 8 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Jong-Hyeok Lee, Byung-Gyu Kim, Dong-San Jun, Soon-Heung Jung, Jin Soo Choi
Issue Date
2016-01
Citation
IET Image Processing, v.10, no.1, pp.53-60
ISSN
1751-9659
Publisher
IET
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1049/iet-ipr.2013.0631
Abstract
To provide very high quality and/or high resolution video content under limited bandwidth conditions for transmission or storage, the high efficiency video coding (HEVC) has been recently finalised by the joint collaborative team on video coding. In this study, the authors propose a fast prediction unit (PU) decision method to reduce the computational complexity of HEVC encoder. They use an early PU decision in each coding unit-level based on spatio-temporal analyses and depth correlations. They also consider a classification of motion activity. Experimental results show that the encoding complexity can be reduced by up to 38% on average in the random access main profile configuration with only a small bit-rate increment and a peak signal to noise ratio (PSNR) decrement, compared to high efficiency video coding test model (HM) 7.0 reference software.
KSP Keywords
Bit rate, Coding unit(CU), Computational complexity, Fast prediction, HEVC encoder, High Efficiency Video coding(HEVC), High resolution video, Joint Collaborative Team on Video Coding(JCT-VC), Peak-Signal-to-Noise-Ratio(PSNR), Reduction algorithm, Signal noise ratio(SNR)