Efficient Use of Local Edge Histogram Descriptor

Dong Kwon Park, Yoon Seok Jeon, Chee Sun Won

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

219 Scopus citations

Abstract

The purpose of this paper is to show how the edge histogram descriptor for MPEG-7 can be efficiently utilized for image matching. Since the edge histogram descriptor recommended for the MPEG-7 standard represents only local edge distributionin an image, the matching performance for image retrieval may not be satisfactory. In this paper, to increase the matching performance, we propose to use the global and semi-local edge histograms generated directly from the local histogram bins. Then, the global, semi-global, and local histograms of two images are compared to evaluate the similarity measure. Since we exploit the absolute locations of edge in the image as well as its global composition, the proposed matching method is considered to be a more image content-based retrieval. Experimental results support this claim. Experiments on test images for MPEG-7 core experiment show that the proposed method yields better retrieval performance especially for semantic similarity.

Original languageEnglish
Title of host publicationMULTIMEDIA 2000 - Proceedings of the 2000 ACM Workshops on Multimedia
PublisherAssociation for Computing Machinery, Inc
Pages51-54
Number of pages4
ISBN (Electronic)9781581133110
DOIs
StatePublished - 2000
Event2000 ACM Workshops on Multimedia, MULTIMEDIA 2000 - Los Angeles, United States
Duration: 30 Oct 20003 Nov 2000

Publication series

NameMULTIMEDIA 2000 - Proceedings of the 2000 ACM Workshops on Multimedia

Conference

Conference2000 ACM Workshops on Multimedia, MULTIMEDIA 2000
Country/TerritoryUnited States
CityLos Angeles
Period30/10/003/11/00

Keywords

  • edge feature
  • histogram
  • image retrieval
  • MPEG-7

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