Automatic subspace clustering of high dimensional data for data mining applications
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Where people look when watching movies: Do all viewers look at the same place?
Computers in Biology and Medicine
Detecting eye fixations by projection clustering
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Eye movements are arguably the most natural and repetitive movement of a human being. The most mundane activity, such as watching television or reading a newspaper, involves this automatic activity which consists of shifting our gaze from one point to another. Identification of the components of eye movements (fixations and saccades) is an essential part in the analysis of visual behavior because these types of movements provide the basic elements used by further investigations of human vision. However, many of the algorithms that detect fixations present a number of problems. In this paper, we present the results of a new fixation identification technique that is based on clustering of eye positions, using projections and a projection aggregation applied to static pictures. We also present results of a new method that computes dispersion of eye fixations in videos considering a multi-user environment.