On the Potential of Incorporating Knowledge of Human Visual Attention into Cbir Systems

Abstract

Content-based image retrieval (CBIR) systems have been actively investigated over the past decade. Several existing CBIR prototypes claim to be designed based on perceptual characteristics of the human visual system, but even those who do are far from recognizing that they could benefit further by incorporating ongoing research in vision science. This paper explores the inclusion of human visual perception knowledge into the design and implementation of CBIR systems. Particularly, it addresses the latest developments in computational modeling of human visual attention. This fresh way of revisiting concepts in CBIR based on the latest findings and open questions in vision science research has the potential to overcome some of the challenges faced by CBIR systems