1. A.-G. Chifu, S. Fournier, SegChain: Towards a generic automatic video segmentation framework, based on lexical chains of audio tran-scriptions. (to appear), in: Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics (WIMS’2016), 2016.
2. L. Sitbon, P. Bellot, Topic segmentation using weighted lexical links (wll), in: Proceedings of the 30th Annual International ACM SI- GIR Conference on Research and Development in Information Retrieval, SIGIR ‘07, ACM, New York, NY, USA, 2007, pp. 737-738. doi:10.1145/1277741.1277884.
3. T.-S. Chua, S.-F. Chang, L. Chaisorn, W. Hsu, Story boundary detection in large broadcast news video archives, in: Proceedings of the [12th] annual ACM international conference on Multimedia - MULTIMEDIA ‘04, ACM Press, New York, New York, USA, 2004, p. 656. doi:10.1145/1027527.1027679.
4. W. H. Hsu, L.S. Kennedy, S.-f. Chang, M. Franz, J.R. Smith, COLUMBIA-IBM NEWS VIDEO STORY SEGMENTATION IN TRECVID. [2004] Dept. of Electrical Engineering, Columbia University, New York {winston, lyndon, sfchang}@ ee. columbia. edu IBM T. J. Watson Research Center, New York Columbia University ADVENT Tech, Tech. rep., Dept. of Electrical Engineering, Columbia University, New York (2005).
5. É. Dumont, G. Quénot, Automatic Story Segmentation for TV News Video Using Multiple Modalities, International Journal of Digital Multimedia Broadcasting 2012 (2012) 1-11. doi:10.1155/2012/732514.