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This demonstration concerns a system designed and implemented to automatically build multimodal aggregations of informative news items coming from the two domains of digital television and the Web. Though in recent times several technological solutions have addressed the problem of clustering online articles, little is available which is capable of integrating these two sources of information. The...
Broadcast news segmentation is a recognised important task in audiovisual archives retrieval systems. Though research is very active in the field, the problem has not been satisfactorily solved yet. This paper presents a promising novel methodology at segmenting news programmes based on a probabilistic approach, and innovative evaluation framework to assess the performance of the proposed techniques...
Automatic genre classification is a simple and effective solution to describe semantic properties of multimedia data. In this paper, a method to classify the genre of TV programmes is presented. In our approach, four multimodal vectors, including both low-level perceptual descriptors and higher-level, human-centred features are employed. These vectors serve as the input for a parallel neural network...
The quantity of multimedia content available either through the traditional distribution channels, such as broadcast television, or through new platforms like the Internet, is continuously increasing. Tools for user-oriented access to desired information are thus needed. In this paper, we illustrate a novel fuzzy multimedia mining technique for genre characterisation, aimed at overcoming limitations...
This paper describes an integrated system for the acquisition, automatic annotation and Web publication of television broadcast news programmes named ANTS (automatic newscast transcription system). The system consists of several analysis components integrated in a unified architecture. Users have the possibility to access a large daily-growing database of news stories from the main national channels,...
In this paper we investigate the problem of automatically identifying the genre of TV programmes. The approach here proposed is based on two foundations: Gaussian mixture models (GMMs) and artificial neural networks (ANNs). Firstly, we use Gaussian mixtures to model the probability distributions of low-level audiovisual features. Secondly, we use the parameters of each mixture model as new feature...
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