Image and video clipping by weighted histogram intersection minimization

Kohei Inoue, Hara Kenji, Kiichi Urahama

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

1 Citation (Scopus)

Abstract

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
Pages1668-1672
Number of pages5
DOIs
Publication statusPublished - Dec 1 2010
Event2010 IEEE Region 10 Conference, TENCON 2010 - Fukuoka, Japan
Duration: Nov 21 2010Nov 24 2010

Other

Other2010 IEEE Region 10 Conference, TENCON 2010
CountryJapan
CityFukuoka
Period11/21/1011/24/10

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All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Inoue, K., Kenji, H., & Urahama, K. (2010). Image and video clipping by weighted histogram intersection minimization. In TENCON 2010 - 2010 IEEE Region 10 Conference (pp. 1668-1672). [5686033] https://doi.org/10.1109/TENCON.2010.5686033