Title :
On the Potential of Incorporating Knowledge of Human Visual Attention into Cbir Systems
Author :
Marques, Oge ; Mayron, Liam M. ; Borba, Gustavo B. ; Gamba, Humberto R.
Author_Institution :
Dept. of Comput. Sci. & Eng., Florida Atlantic Univ., Boca Raton, FL
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
Keywords :
computer vision; content-based retrieval; image retrieval; visual databases; visual perception; CBIR; computational modeling; content-based image retrieval system; human visual perception knowledge; vision science research; Computer science; Computer vision; Content based retrieval; Data mining; Design engineering; Humans; Image retrieval; Layout; Visual perception; Visual system;
Conference_Titel :
Multimedia and Expo, 2006 IEEE International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0366-7
Electronic_ISBN :
1-4244-0367-7
DOI :
10.1109/ICME.2006.262953
