MODELAMIENTO DE UN SISTEMA DE RECUPERACIÓN DE IMÁGENES DE RECURSOS ACUÁTICOS, BASADO EN CONTENIDO Y CALIDAD DE LA INFORMACIÓN.

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. [ABSTRACT FROM AUTHOR]