Asymmetric Gaussian and Its Application to Pattern Recognition
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Multimodal Video Indexing: A Review of the State-of-the-art
Multimedia Tools and Applications
Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Partial Elastic Matching of Time Series
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Video genre classification using dynamics
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Joint scene classification and segmentation based on hidden Markov model
IEEE Transactions on Multimedia
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TV stream structuring is very important for huge archives holders like the French National Institute, the BBC or the RAI, because it is the first necessary step to describe the various telecasts broadcast on various channels. It is also necessary for television ratings in order to isolate the telecasts that must be rated. One can think this structuring is a simple alignment of the TV guides on the stream itself. But TV guides present in average only 35% of the telecasts that represent in average less than 18 hours by day. We propose in this article a method to predict TV schedules by modeling the past ones in order to boil down the television stream structuring problem to a simple alignment problem.