Fast Structuring of Large Television Streams Using Program Guides, Proceedings of the 4th International Workshop on Adaptive Multimedia Retrieval, pp.223-232, 2006. ,
DOI : 10.1007/978-3-540-71545-0_17
Automatic TV Broadcast Structuring, International Journal of Digital Multimedia Broadcasting, vol.13, issue.3-4, 2010. ,
DOI : 10.1109/TMM.2005.861286
URL : https://hal.archives-ouvertes.fr/inria-00514468
An automatic television stream structuring system for television archives holders, Multimedia Systems, vol.17, issue.1, pp.255-275, 2008. ,
DOI : 10.1007/s00530-008-0140-2
Comparison and combination of two novel commercial detection methods, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763), pp.1267-1270, 2004. ,
DOI : 10.1109/ICME.2004.1394454
Segmentation, categorization, and identification of commercial clips from TV streams using multimodal analysis, Proceedings of the 14th annual ACM international conference on Multimedia , MULTIMEDIA '06, pp.201-210, 2006. ,
DOI : 10.1145/1180639.1180697
Finding and identifying unknown commercials using repeated video sequence detection, Computer Vision and Image Understanding, vol.103, issue.1, pp.80-88, 2006. ,
DOI : 10.1016/j.cviu.2006.03.002
Robust learning-based TV commercial detection, Proceedings of the IEEE International Conference on Multimedia and Expo (ICME '05), pp.149-152, 2005. ,
On the detection and recognition of television commercials, Proceedings of IEEE International Conference on Multimedia Computing and Systems, pp.509-516, 1997. ,
DOI : 10.1109/MMCS.1997.609763
Real time commercial detection using MPEG features, Proceedings of the International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, pp.1-6, 2002. ,
Unsupervised Segmentation Methods of TV Contents, International Journal of Digital Multimedia Broadcasting, vol.2, issue.3, 2010. ,
DOI : 10.1016/S0167-6393(00)00027-3
URL : https://hal.archives-ouvertes.fr/hal-01433888
A multimodal scheme for program segmentation and representation in broadcast video streams, IEEE Transactions on Multimedia, vol.10, issue.3, pp.223-232, 2006. ,
Program Segmentation for TV Videos, 2005 IEEE International Symposium on Circuits and Systems, pp.1549-1552, 2005. ,
DOI : 10.1109/ISCAS.2005.1464896
Program segmentation in a television stream using acoustic cues, 2008 International Conference on Audio, Language and Image Processing, pp.748-752, 2008. ,
DOI : 10.1109/ICALIP.2008.4590083
Comparaison des document audiovisuels par matrice de similarité, 2005. ,
A non-supervised approach for repeated sequence detection in TV broadcast streams, Signal Processing: Image Communication, pp.525-537, 2008. ,
DOI : 10.1016/j.image.2008.04.018
Mining arbitrary-length repeated patterns in television broadcast, IEEE International Conference on Image Processing 2005, pp.181-185, 2005. ,
DOI : 10.1109/ICIP.2005.1530358
Mining TV broadcasts for recurring video sequences, Proceedings of the ACM International Conference on Image and Video Retrieval (CIVR '09), pp.208-215, 2009. ,
Media segmentation using selfsimilarity decomposition, Proceedings of the Conference on Storage and Retrieval for Media Databases, pp.167-175, 2003. ,
DOI : 10.1117/12.476302
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.4436
ARGOS: automatically extracting repeating objects from multimedia streams, IEEE Transactions on Multimedia, vol.8, issue.1, pp.115-129, 2006. ,
DOI : 10.1109/TMM.2005.861286
Real time repeated video sequence identification, Computer Vision and Image Understanding, vol.93, issue.3, pp.310-327, 2004. ,
DOI : 10.1016/j.cviu.2003.10.005
Mining recurring events through forest growing, IEEE Transactions on Circuits and Systems for Video Technology, pp.1597-1607, 2008. ,
Efficient Short Video Repeat Identification With Application to News Video Structure Analysis, IEEE Transactions on Multimedia, vol.9, issue.3, pp.600-609, 2007. ,
DOI : 10.1109/TMM.2006.889352
Advertisement Detection and Replacement using Acoustic and Visual Repetition, 2006 IEEE Workshop on Multimedia Signal Processing, pp.461-466, 2006. ,
DOI : 10.1109/MMSP.2006.285351
Opportunities and challenges for next-generation applied intelligence Break-segment detection and recognition in broadcasting video, Studies in Computational Intelligence, pp.45-51, 2009. ,
New enhancements to cut, fade, and dissolve detection processes in video segmentation, Proceedings of the eighth ACM international conference on Multimedia , MULTIMEDIA '00, pp.219-227, 2000. ,
DOI : 10.1145/354384.354481
Data mining software ,