Image retrieval: Feature primitives, feature representation, and relevance feedback

Xiang Sean Zhou, T. S. Huang

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

Abstract

In this paper feature selection and representation techniques in CBIR systems are reviewed and interpreted in a unified feature representation paradigm. We revise our previously proposed water-filling edge features with newly proposed primitives and present them using this unified feature formation paradigm. Experiments and comparisons are performed to illustrate the characteristics of the new features. Also proposed is sub-image feature extraction for regional matching. Relevance feedback as an on-line learning mechanism is adopted for feature and tile selection and weighting during the retrieval.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 2000
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages10-14
Number of pages5
ISBN (Electronic)076950695X, 9780769506951
DOIs
StatePublished - 2000
EventIEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 2000 - Hilton Head Island, United States
Duration: Jun 12 2000 → …

Publication series

NameProceedings - IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 2000

Other

OtherIEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 2000
Country/TerritoryUnited States
CityHilton Head Island
Period6/12/00 → …

ASJC Scopus subject areas

  • Information Systems
  • Media Technology

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