Resumen

MANRIQUE LOSADA, Bell; ECHEVERRI ARIAS, Jaime Alberto  y  MORENO, Francisco Javier. Modeling of an aquatic resource image retrieval system, based on content and information quality. Rev. ing. univ. Medellin [online]. 2008, vol.7, n.13, pp.97-109. ISSN 1692-3324.

In Information Retrieval Systems, Image Retrieval Systems are located; they allow generating searching and storing processes of resources through coincidences by key words or other real-time methods. This type of systems can use visual content of images (color, texture, and brightness) as indices. In addition, these systems combine different attributes to improve the processes of classification and relevance of the searching process results known as 'Information Quality.' This paper presents the modeling of a Image Retrieval System which combines attributes of the contentbased retrieval such as color, texture, and shape, with the Information Quality-based retrieval as updating portability and relevance frequency in the context of Digital Image Collection of Aquatic Amazon Ecosystems of Universidad del Amazonia CAPREA Research Group.

Palabras clave : Information Retrieval; Image Retrieval; Software Engineering; Computer Vision.

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