An Attention-Based Approach to Content-Based Image Retrieval
BT Technology Journal
Eye Tracking as a New Interface for Image Retrieval
BT Technology Journal
An eye tracking interface for image search
Proceedings of the 2006 symposium on Eye tracking research & applications
Visual attention detection in video sequences using spatiotemporal cues
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Perceptual image retrieval using eye movements
International Journal of Computer Mathematics - Computer Vision and Pattern Recognition
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
An eye-tracking-based approach to facilitate interactive video search
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Perceptual image retrieval using eye movements
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
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It is natural in a visual search to look at any object that is similar to the target so that it can be recognised and a decision made to end the search. Eye tracking technology offers an intimate and immediate way of interpreting users' behaviours to guide a computer search through large image databases. This paper describes experiments carried out to explore the relationship between gaze behaviour and a visual attention model that identifies regions of interest in image data. Results show that there is a difference in behaviour on images that do and do not contain a clear region of interest.