Automatic extraction of story units from TV news

Abstract : In this paper we propose a novel method for automatic identification of semantically consistent story units from TV news programs. The method includes a temporal segmentation procedure of the video based on visual cues, as well as a graph-driven textual analysis technique of the subtitles documents. The experimental results, obtained on a dataset of 50 videos selected from one week video archive of France Television demonstrate the pertinence of the proposed approach
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Communication dans un congrès
ICCE 2017 : International Conference on Consumer Electronics, Jan 2017, Las Vegas United States. IEEE Computer Society, Proceedings ICCE 2017 : International Conference on Consumer Electronics, pp.1 - 2, 2017, 〈10.1109/ICCE.2017.7889377〉
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https://hal.archives-ouvertes.fr/hal-01511894
Contributeur : Médiathèque Télécom Sudparis & Institut Mines-Télécom Business School <>
Soumis le : vendredi 21 avril 2017 - 17:15:55
Dernière modification le : jeudi 31 mai 2018 - 09:12:02

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Bogdan Mocanu, Ruxandra Tapu, Titus Zaharia. Automatic extraction of story units from TV news. ICCE 2017 : International Conference on Consumer Electronics, Jan 2017, Las Vegas United States. IEEE Computer Society, Proceedings ICCE 2017 : International Conference on Consumer Electronics, pp.1 - 2, 2017, 〈10.1109/ICCE.2017.7889377〉. 〈hal-01511894〉

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