Title “Eye Tracking: A Perceptual Interface for Content Based Image Retrieval”

Visual search experiments are devised to explore the feasibility of an eye gaze driven search mechanism. An eye tracking image retrieval interface together with pre-computed similarity measures yield a significantly better performance than random selection using the same similarity information. Gaze parameters were explored to determine novel methods of inferring intention from users’ gaze data.

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