DocumentCode :
3325631
Title :
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
Link To Document :
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