Image and video clipping by weighted histogram intersection minimization

Kohei Inoue, Kenji Hara, Kiichi Urahama

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

    1 Citation (Scopus)


    We propose a method for clipping a rectangular region from an image by minimizing a weighted intersection of two color histograms which are constructed with pixels included in the inside and the outside of the rectangular region. Furthermore, we extend the clipping method for images to that for videos. Experimental results show that the proposed method can clip the regions of objects from images and remove the regions of backgrounds.

    Original languageEnglish
    Title of host publicationTENCON 2010 - 2010 IEEE Region 10 Conference
    Number of pages5
    Publication statusPublished - 2010
    Event2010 IEEE Region 10 Conference, TENCON 2010 - Fukuoka, Japan
    Duration: Nov 21 2010Nov 24 2010

    Publication series

    NameIEEE Region 10 Annual International Conference, Proceedings/TENCON


    Other2010 IEEE Region 10 Conference, TENCON 2010

    All Science Journal Classification (ASJC) codes

    • Computer Science Applications
    • Electrical and Electronic Engineering


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