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Approximate Query Processing for a Content-Based Image Retrieval Method

Paul H Kwan, Kazuo Toraichi, Hiroyuki Kitagawa, Keisuke Kameyama

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

2 Citations (Scopus)

Abstract

An approximate query processing approach for a content-based image retrieval method based on probabilistic relaxation labeling is proposed. The novelty lies in the inclusion of a filtering mechanism based on a quasi lower bound on distance in the vector space that effectively spares the matching between the query and a number of database images from going through the expensive step of iterative updating the labeling probabilities. This resembles the two-step filter-and-refine query processing approach that has been applied to k-nearest neighbor (k-NN) retrieval in database research. It is confirmed by experiments that the proposed approach consistently returns a "close approximation" of the accurate result, in the sense of the first k' in the top k output of a k-NN search, while simultaneously reduces the amount of processing required.
Original languageEnglish
Title of host publicationDatabase and Expert Systems Applications: 14th International Conference, DEXA 2003, Prague, Czech Republic, September 1-5, 2003, Proceedings
EditorsVladimir Marik, Werner Retschitzegger, Olga Stepankova
Place of PublicationBerlin, Germany
PublisherSpringer
Pages517-526
ISBN (Print)3540408061, 9783540408062
DOIs
Publication statusPublished - 2003
EventDEXA 2003: 14th International Conference on Database and Expert Systems Applications - Prague, Czech Republic
Duration: 1 Sept 20035 Sept 2003

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Number2736
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceDEXA 2003: 14th International Conference on Database and Expert Systems Applications
CityPrague, Czech Republic
Period1/09/035/09/03

Keywords

  • Neural, Evolutionary and Fuzzy Computation
  • Pattern Recognition and Data Mining
  • Image Processing

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