Dynamic feature selection and coarse-to-fine search for content-based image retrieval

Jia You, Q. Li, K. H. Cheung, Prabir Bhattacharya

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

We present a new approach to content-based image retrieval by addressing three primary issues: image indexing, similarity measure, and search methods. The proposed algorithms include: an image data warehousing structure for dynamic image indexing; a statistically based feature selection procedure to form flexible similarity measures in terms of the dominant image features; and a feature component code to facilitate query processing and guide the search for the best matching. The experimental results demonstrate the feasibility and effectiveness of the proposed method.
Original languageEnglish
Title of host publicationProceedings of the 5th International Workshop on Pattern Recognition in Information Systems, PRIS 2005, in Conjunction with ICEIS 2005
Pages81-93
Number of pages13
Publication statusPublished - 1 Dec 2005
Event5th International Workshop on Pattern Recognition in Information Systems, PRIS 2005, in Conjunction with ICEIS 2005 - Miami, FL, United States
Duration: 24 May 200525 May 2005

Conference

Conference5th International Workshop on Pattern Recognition in Information Systems, PRIS 2005, in Conjunction with ICEIS 2005
CountryUnited States
CityMiami, FL
Period24/05/0525/05/05

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Information Systems

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