A Knowledge-based Image Retrieval System Integrating Semantic and Visual Features

Abstract

The main limitations of the existing high level image retrieval approaches concern the high dependance on an external reliable resource (domain ontologies, learning sets, etc.) and a model for mapping semantic and visual information. In this paper, we propose an image retrieval system integrating semantic and visual features. The idea is to automatically build a modular ontology for semantic information and organize visual features in a graph-based model. Both elements are then combined together in a same component called "pattern" used for retrieval. The system has been implemented and the obtained results show that our proposal enables an improvement in the retrieval task.