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- W2156280733 abstract "This paper describes the first steps of CLIPS/IMAG on the TREC video story segmentation task. We mostly describe the multi-modal features used and their respective performance for the story segmentation task. These features are based on the audio, video and text modalities. The preliminary system, which has the advantage to be relatively free with respect to the use of training data, is also presented in this paper. First experiments on the TRECVID 2003 evaluation set lead to a recall rate of 0.613 and a precision rate of 0.467. We plan to participate to the official TRECVID 2004 story segmentation task with this system" @default.
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- W2156280733 date "2004-10-15" @default.
- W2156280733 modified "2023-10-16" @default.
- W2156280733 title "Video story segmentation with multi-modal features" @default.
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- W2156280733 doi "https://doi.org/10.1145/1026711.1026748" @default.
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