Exploring Human Eye Behaviour using a Model of Visual Attention
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Combining eye movements and collaborative filtering for proactive information retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
An eye tracking interface for image search
Proceedings of the 2006 symposium on Eye tracking research & applications
Pattern Recognition
The user interface & content-based image retrieval systems
IRSG'97 Proceedings of the 19th Annual BCS-IRSG conference on Information Retrieval Research
IEEE Transactions on Image Processing
Automatic foveation for video compression using a neurobiological model of visual attention
IEEE Transactions on Image Processing
GaZIR: gaze-based zooming interface for image retrieval
Proceedings of the 2009 international conference on Multimodal interfaces
Visual attention for implicit relevance feedback in a content based image retrieval
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Image ranking with implicit feedback from eye movements
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Biometric identification based on the eye movements and graph matching techniques
Pattern Recognition Letters
Learning relevance from natural eye movements in pervasive interfaces
Proceedings of the 14th ACM international conference on Multimodal interaction
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This paper explores the feasibility of using an eye tracker as an image retrieval interface. A database of 1000 Corel images is used in the study and results are analysed using ANOVA. Results from participants performing image search tasks show that eye tracking data can be used to reach target images in fewer steps than by random selection. The effects of the intrinsic difficulty of finding images and the time allowed for successive selections were also considered. The results indicated evidence of the use of pre-attentive vision during visual search.