Gaze-based image retrieval system using dual eye-trackers

Author

Coddington, James ; Xu, Junxia ; Sridharan, Srinivas ; Rege, Manjeet ; Bailey, Reynold

fYear

2012

fDate

12-14 Jan. 2012

Firstpage

37

Lastpage

40

Abstract

In this paper we present a novel gaze-based image retrieval application. The application is designed to be run on a dual monitor setup with a separate eye tracking device dedicated to each monitor. A source image is displayed on one monitor and the retrieved images are displayed on the second monitor. The system is completely gaze controlled. The user selects one or more objects or regions in the source image by fixating on them. The system then retrieves images containing similar objects from an image database. These are displayed in a grid on the second monitor. The user can then fixate on one of these images to select it as the new source image and the process can be repeated until a satisfactory image is found.

Keywords

image retrieval; visual databases; dual eye-trackers; dual monitor setup; eye tracking device; gaze-based image retrieval system; image database; Google; Image retrieval; Monitoring; Tracking; USA Councils; Content-based image retrieval; eye-tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Signal Processing Applications (ESPA), 2012 IEEE International Conference on

Conference_Location

Las Vegas, NV

Print_ISBN

978-1-4673-0899-1

Type

conf

DOI

10.1109/ESPA.2012.6152440

Filename

6152440