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Goal • Conduct combined behavioral and computer vision experiments to better understand the relationships between: Ø the objects that are detected in an image, Ø the eye movements that people make while viewing that image, Ø and the words that they produce when asked to describe it. Contribution • Comprehension of how humans view and interpret visual imagery. • Demonstrate prototype applications for gaze-enabled detection and annotation by integrating gaze cues with the outputs of current visual recognition systems

Specifying the relationships between objects, gaze, and descriptions for scene understanding