Image Retrieval: Challenges and Solutions

  • Juan Antonio Martínez Comeche Departamento de Biblioteconomía y Documentación. Facultad de Ciencias de la Documentación. Universidad Complutense de Madrid
DOI: https://doi.org/10.5209/rev_RGID.2013.v23.n2.43137
Keywords: Content-Based Image Retrieval, Image, Image Retrieval, Information Retrieval, Photography.

Abstract

Analysis of the peculiar characteristics of images as documents and its consequences for the development of automated retrieval of this type of documentation. After developing the concepts of image and image retrieval, the challenges that image presents from the point of view of retrieval are analyzed, especially the semantic gap, and the main solutions found in the literature since 1990 to present are described. The current approach (SBVIR) is characterized by the simultaneous employment of the visual code and the language in representing images.

Downloads

Download data is not yet available.

Article download

Crossmark

Metrics

Published
2013-10-09
How to Cite
Martínez Comeche J. A. (2013). Image Retrieval: Challenges and Solutions. Revista General de Información y Documentación, 23(2), 423-436. https://doi.org/10.5209/rev_RGID.2013.v23.n2.43137
Issue
Vol. 23 No. 2 (2013)
Section
Articles

License

In order to support the global exchange of knowledge, the journal Revista General de Información y Documentación is allowing unrestricted access to its content as from its publication in this electronic edition, and as such it is an open-access journal. The originals published in this journal are the property of the Complutense University of Madrid and any reproduction thereof in full or in part must cite the source. All content is distributed under a Creative Commons Attribution 4.0 use and distribution licence (CC BY 4.0). This circumstance must be expressly stated in these terms where necessary. You can view the summary and the complete legal text of the licence.