A novel angle-restricted test zone search algorithm for performance improvement of HEVC

Niras C. Vayalil, Manoranjan Paul, Yinan Kong

Research output: Book chapter/Published conference paperConference paperpeer-review

Abstract

High Efficiency Video Coding (HEVC) is the latest video encoding standard and has approximately 50% bit-rate saving compared to its predecessor. However, the motion estimation (ME) is considerably complicated by the incorporation of varieties of partitioning modes and a quad-tree based coding structure, and also by increasing the basic coding unit size by a factor of 16. Motion estimation is the most complex task in the video encoding process, consuming 60-80% of overall encoding time. This paper proposes a new algorithm, angle-restricted test zone (ARTZ) for motion estimation which is based on a test zone (TZ) search, exploiting directional probabilities of motion vector search. In our experiments, this proposal achieves a time saving in motion estimation of about 20% to 50% compared to a TZ search in the HEVC test model (HM) implementation for UHD videos without significant degradation of PSNR.
Original languageEnglish
Title of host publication2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages6-10
Number of pages5
ISBN (Electronic)9781509021758
ISBN (Print)9781509021765
DOIs
Publication statusPublished - 22 Feb 2018
Event2017 24th IEEE International Conference on Image Processing: ICIP 2017 - China National Convention Center , Beijing, China
Duration: 17 Sep 201720 Jul 2018
http://2017.ieeeicip.org/ (Conference website)

Conference

Conference2017 24th IEEE International Conference on Image Processing
CountryChina
CityBeijing
Period17/09/1720/07/18
Internet address

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