In the near future, personalized TV news programs should become a relevant method to access TV news. They will be produced from selecting and reordering "stories" contained in news programs. Automatic segmentation of news programs into story is an important step to reach this goal. We present a set rules for such s e g m e n t a t i o n . Methods for implementing these rules are based on image and sound a n a l y s i s .

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