Making computers look the way we look
Harish Katti, Ramanathan Subramanian, Mohan Kankanhalli, Nicu Sebe, Tat‐Seng Chua, Kalpathi Ramakrishnan · 2010
Human Visual attention (HVA) is an important strategy to focus on specific information while observing and understanding visual stimuli. HVA involves making a series of fixations on select locations while performing tasks such as object recognition, scene understanding, etc. We present one of the first works that combines fixation information with automated concept detectors to (i) infer abstract image semantics, and (ii) enhance performance of object detectors.