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We propose to model a tracked object in a video sequence by locating a list of object features that are ranked according to their ability to differentiate against the image background. The Bayesian inference is utilised to derive the probabilistic location of the object in the current frame, with the prior being approximated from the pervious frame and the posterior achieved via the current pixel...
Detection of scene transition is the first step on video segmentation, indexing and analysis. Although scene classification by human can be performed with visual or sonorous attributes at the same time, machine automatic classification usually relies on feature extraction of main visual characteristics. The use of color, shape, digital sound processing and voice signal altogether are investigated...
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