Classified-distance based shape descriptor for application to image retrieval

Jinhee Chun, Natsuda Kaothanthong, Takeshi Tokuyama

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

1 Citation (Scopus)

Abstract

We propose a method to improve the quality and the query time of shape-based image retrieval. We define a novel and an accurate shape descriptor named Distance Interior Ratio (DIR) that is invariant to rigid motion and scaling. The DIR of shapes can also be stored in an efficient search structure. Our experimental result shows a higher retrieval rate and efficient query time.

Original languageEnglish
Title of host publicationComputer Analysis of Images and Patterns - 15th International Conference, CAIP 2013, Proceedings
Pages1-8
Number of pages8
EditionPART 2
DOIs
Publication statusPublished - 2013
Event15th International Conference on Computer Analysis of Images and Patterns, CAIP 2013 - York, United Kingdom
Duration: 2013 Aug 272013 Aug 29

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume8048 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Computer Analysis of Images and Patterns, CAIP 2013
CountryUnited Kingdom
CityYork
Period13/8/2713/8/29

Keywords

  • 2D Shape Description
  • Image Retrieval
  • Shape Recognition

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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