An Adaptive H.265/HEVC Encoding Control for 8K UHDTV Movies Based on Motion Complexity Estimation

Shota Orihashi, Rintaro Harada, Yasutaka Matsuo, Jiro Katto

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

    Abstract

    In this paper, we propose a method to control H.265/HEVC encoding for 8K UHDTV moving pictures by detecting amount or complexity of object motions. In 8K video, which has very high spatial resolution, motion has a big influence on encoding efficiency and processing time. The proposed method estimates motion features by external process which uses local feature points matching between two frames, selects an optimal prediction mode and determines search ranges of motion vectors. Experiments show we can detect motion complexity of 8K movies by using local feature matching between frames and we can select optimal configurations of encoding. By our method, we achieved highly efficient and low computation encoding.

    Original languageEnglish
    Title of host publicationProceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages343-346
    Number of pages4
    ISBN (Print)9781509003792
    DOIs
    Publication statusPublished - 2016 Mar 25
    Event17th IEEE International Symposium on Multimedia, ISM 2015 - Miami, United States
    Duration: 2015 Dec 142015 Dec 16

    Other

    Other17th IEEE International Symposium on Multimedia, ISM 2015
    CountryUnited States
    CityMiami
    Period15/12/1415/12/16

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    Keywords

    • 8K UHDTV
    • H.265/HEVC
    • inter prediction
    • motion vector
    • SURF

    ASJC Scopus subject areas

    • Computer Science Applications
    • Hardware and Architecture
    • Software
    • Computer Networks and Communications

    Cite this

    Orihashi, S., Harada, R., Matsuo, Y., & Katto, J. (2016). An Adaptive H.265/HEVC Encoding Control for 8K UHDTV Movies Based on Motion Complexity Estimation. In Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015 (pp. 343-346). [7442355] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISM.2015.74