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

Author

Montagnuolo, M. ; Messina, A. ; Ferri, M.

Author_Institution

Centre for Res. & Technol. Innovation, RAI Radiotelevisione Italiana, Torino

fYear

2009

fDate

6-8 May 2009

Firstpage

65

Lastpage

68

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.

Keywords

content management; graph theory; information resources; information retrieval; information retrieval systems; multimedia computing; pattern clustering; semantic Web; ubiquitous computing; user interfaces; Web interface; content representation; context-aware graph partitioning; hybrid clustering; information extraction; information navigation service; information visualisation; multimedia news archive; semantic navigation; unsupervised framework; Context-aware services; Digital TV; Feeds; Indexing; Multimedia databases; Multimedia systems; Radio navigation; Streaming media; TV interference; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis for Multimedia Interactive Services, 2009. WIAMIS '09. 10th Workshop on

Conference_Location

London

Print_ISBN

978-1-4244-3609-5

Electronic_ISBN

978-1-4244-3610-1

Type

conf

DOI

10.1109/WIAMIS.2009.5031433

Filename

5031433