Context-aware graph-based content representation for semantic navigation in multimedia news archives

Abstract

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 technique to aggregate semantically related multimedia news from the Web and TV. These aggregations are represented by oriented graphs at increasing level of abstraction. Such an information can be accessed and browsed through a Web interface.