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Representing the content relations in multimedia data plays a crucial role for the delivery of information navigation services. However, current tools for information extraction and visualisation are still far to be satisfactory. This paper addresses this task providing an unsupervised framework for graph-based multimedia news content representation. The system uses hybrid clustering and a graph partitioning...
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...
Nowadays, the global diffusion of the Internet is enabling the distribution of informative content through dynamic media such as RSS feeds and blogs. At the same time, the decreasing cost of electronic devices is increasing the pervasive availability of the same informative content in the form of digital audiovisual items. Hence, efficient and low-cost solutions for semantic aggregation of heterogeneous...
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