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Discontinuities in any information bearing signal serve to represent much of the vital or interesting content in that signal. A sharp loud noise in a movie could be a gun, or something breaking. In sports like tennis, cricket or snooker/pool it would indicate a point scoring event. In both cases the discontinuity is likely to be semantically relevant without further inference being necessary, once a particular domain is adopted. This paper discusses the importance of temporal motion discontinuities in inferring events in visual media. Two particular application domains are considered: content based audio/video synchronisation and event spotting in observational Psychology.

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Rotational types of motion can often be seen in video sequences. However, not a lot of research has been done to investigate rotational motion models for use in video. Analysing this unique type of motion could be very useful. For example, if the the centre of rotation of a spinning object can be efficiently identified, extraction and tracking of it can be made easier by grouping points moving at the same radial speed. It could also improve compression by recording rotation variables. In this paper, we introduce a method for finding the centre of rotation of a rotating object and a basic approach for modelling the rotation for improved image quality. The method requires an initial block based translational motion field.

No abstract