Title :
Fuzzy mining of multimedia genre applied to television archives
Author :
Messina, Alberto ; Montagnuolo, Maurizio
Author_Institution :
RAI Radiotelevisione Italiana, Centre for Res. & Technol. Innovation, Torino
fDate :
June 23 2008-April 26 2008
Abstract :
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 of conventional crisp classification systems. Effective results in genre classification and characterisation are presented based on the extraction of structural and cognitive properties of the content.
Keywords :
content-based retrieval; data mining; information retrieval systems; multimedia systems; pattern classification; distribution channels; fuzzy multimedia mining; genre characterisation; genre classification; multimedia content; multimedia genre; television archives; user-oriented access; Broadcast technology; Computer science; Data mining; Digital multimedia broadcasting; Humans; Multimedia communication; Multimedia systems; TV broadcasting; Technological innovation; Videos; Multimodal content analysis; fuzzy clustering; genre characterisation; multimedia mining;
Conference_Titel :
Multimedia and Expo, 2008 IEEE International Conference on
Conference_Location :
Hannover
Print_ISBN :
978-1-4244-2570-9
Electronic_ISBN :
978-1-4244-2571-6
DOI :
10.1109/ICME.2008.4607385
