Accelerated CU Decision Based on Enlarged CU Sizes for HEVC UHD Videos

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

1 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Title of host publication2016 IEEE International Conference on Signal and Image Processing, ICSIP
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Pages374-378
Number of pages5
ISBN (electronic)9781509023776
ISBN (print)9781509023769
Publication statusPublished - Aug 2016
Externally publishedYes

Publication series

NameIEEE International Conference on Signal and Image Processing, ICSIP

Conference

Title2016 IEEE International Conference on Signal and
Image Processing (ICSIP 2016)
Location
PlaceChina
CityBeijing
Period13 - 15 August 2016

Abstract

High Efficiency Video Coding (HEVC) is the latest video coding standard and has achieved 50% better compression performance compared to prior video standards competing with (2K, 4K, and 8K) video resolutions. HEVC adopts flexible quad-tree structure, resulting 60% of inter prediction complexity. A fast coding unit decision taking algorithm is proposed which can reduce the coding tree unit (CTU) inter mode complexity of HEVC, by enlarging the coding unit (CU), prediction unit (PU) and transform unit (TU) sizes. The algorithm first extends the coding unit size and then classifies it into different units with respect to the information collected from previous encoded frames. The probability model is used to take decision for the splitting of coding unit. Experimental results achieved an average reduction of encoding time by 62% with an average decrease of 0.01% dB in PSNR and negligible bit-rate increment.

Research Area(s)

  • CU Decision, Coding Unit, Prediction Unit, Transform Unit, UHD 4K video

Citation Format(s)

Accelerated CU Decision Based on Enlarged CU Sizes for HEVC UHD Videos. / Asfandyar, Malik; Nawaz, Mehmood; Hussain, Muddsser.
2016 IEEE International Conference on Signal and Image Processing, ICSIP. Institute of Electrical and Electronics Engineers, Inc., 2016. p. 374-378 (IEEE International Conference on Signal and Image Processing, ICSIP).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review