An Efficient and Effective Image Retrieval System on the basis of (Feature, Matching Measure and sub-space) Selection

Since its appearance as a research field, Content-based Image Retrieval (CBIR) system has increasingly received an important attention. Review of literature reveals that the efforts put, up to now, in the field address either effectiveness or efficiency. In this paper, we address both accuracy and efficiencythrough introducing an efficient and an effective image retrieval approach based on feature, matching measure and sub-spaceselection. The selection relies on relevance feedback information injected by the user. The approach is tested on Corel-1Kimages database. The obtained results are very promising.

• Publication year

  2018

• Venue

  Journal of Information and Organizational Sciences

• Publication date

  2018-12-10

• Fields of study

  Computer Science

• Identifiers
  DOI 10.31341/jios.42.2.4
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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