Massimo De Santo

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Despite of the fact that graph-based methods are gaining more and more popularity in different scientific areas, it has to be considered that the choice of an appropriate algorithm for a given application is still the most crucial task. The lack of a large database of graphs makes the task of comparing the performance of different graph matching algorithms(More)
Supervised text classifiers need to learn from many labeled examples to achieve a high accuracy. However , in a real context, sufficient labeled examples are not always available because human labeling is enormously time-consuming. For this reason, there has been recent interest in methods that are capable of obtaining a high accuracy when the size of the(More)
In this paper we propose a multi-expert approach for anchor shot detection in news videos. The proposed Multi-Expert System (MES) combines three algorithms selected among those presented in the literature that are model-free and do not require a specific training phase. In order to assess the performance of the proposed MES, we built up a large database,(More)
Segmenting news video into stories is among key issues for achieving efficient treatment of news-based digital libraries. In this paper we present a novel unsupervised algorithm that combines audio and video information for automatic partitioning news videos into stories. The proposed algorithm is based on the detection of anchor shots within the video. In(More)