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Understanding the factors that determine human attention in videos is important for many applications, such as user inter face design in interactive television (iTV), continuity editing, or data compression techniques. In this article, we identify the demands that cinematic cuts impose on human attention. We hypothesize, test, and confirm that after cuts the view ers' attention is quickly attracted by repeated visual content. We conclude with a recommendation for future models of vi sual attention in videos and make suggestions how the present results could inspire designers of second screen iTV applica tions to optimise their interfaces with regard to a maximally smooth viewing experience.

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In this paper we present a decomposition algorithm for computation of the spatial-temporal optical flow of a dynamic image sequence. We consider several applications, such as the extraction of temporal motion features and motion detection in dynamic sequences under varying illumination conditions, such as they appear for instance in psychological flickering experiments. For the numerical implementation we are solving an integrodifferential equation by a fixed point iteration. For comparison purposes we use a standard time dependent optical flow algorithm, which in contrast to our method, constitutes in solving a spatial-temporal differential equation.