Image retrieval using sub-image matching in photos using MPEG-7 descriptors

Min Sung Ryu, Soo Jun Park, Chee Sun Won

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

5 Scopus citations

Abstract

Regions of interest in photos are important clues for the content-based image retrieval. However, segmenting semantically meaningful objects in the photo automatically for the query and similarity matching is known to be an unsolved problem. As an alternative, in this paper, we propose a scheme to form a query region in the image space in terms of 4 × 4 sub-images. The set of query sub-images, which include the region of interest in the image space, is used for the basic unit for the similarity matching. Specifically, the edge histogram descriptor and the color layout descriptor in MPEG-7 are used to extract image features in the chosen sub-images and are compared to those extracted from the test images in the database. Experimental results show that the proposed method can retrieve images with similar regions in the images, even if the background regions look quite different from each other.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages366-373
Number of pages8
DOIs
StatePublished - 2005
Event2nd Asia Information Retrieval Symposium, AIRS 2005 - Jeju Island, Korea, Republic of
Duration: 13 Oct 200515 Oct 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3689 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd Asia Information Retrieval Symposium, AIRS 2005
Country/TerritoryKorea, Republic of
CityJeju Island
Period13/10/0515/10/05

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