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

Niras C. Vayalil, Manoranjan Paul, Yinan Kong

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

    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
    Subtitle of host publicationproceedings
    Place of PublicationPiscataway, NJ
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Pages6-10
    Number of pages5
    ISBN (Electronic)9781509021758, 9781509021741
    ISBN (Print)9781509021765
    DOIs
    Publication statusPublished - 2017
    Event24th IEEE International Conference on Image Processing, ICIP 2017 - Beijing, China
    Duration: 17 Sep 201720 Sep 2017

    Conference

    Conference24th IEEE International Conference on Image Processing, ICIP 2017
    CountryChina
    CityBeijing
    Period17/09/1720/09/17

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