Original scientific paper
https://doi.org/10.31341/jios.42.2.4
An Efficient and Effective Image Retrieval System on the basis of Feature, Matching Measure and sub-space Selection
Mawloud Mosbah
orcid.org/0000-0002-6844-0606
; Informatics Department, Faculty of Sciences, University 20 Août 1955 of Skikda, Algeria
Abstract
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.
Keywords
Content Based Image Retrieval; Feature Selection; Matching Measure Selection; Sub-space Selection; efficiency; effectiveness
Hrčak ID:
212225
URI
Publication date:
10.12.2018.
Visits: 812 *