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Information Systems Frontiers
Erschienen in: Information Systems Frontiers 3/2012

01.07.2012

Automatic and fast temporal segmentation for personalized news consuming

verfasst von: Yuan Dong, Shiguo Lian

Erschienen in: Information Systems Frontiers | Ausgabe 3/2012

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Abstract

Automatic news program segmentation and classification becomes a hot topic, which reorganizes the news program according to the news’ topics, and provides the on-demand services to mobile consumers or Internet/home TV consumers. This paper presents a personalized news consuming system, including the system architecture, consumption steps and key techniques. Then, focused on the core technique, i.e., video temporal segmentation, the automatic video temporal segmentation method is proposed, evaluated and compared with existing ones. Experimental results show that the proposed scheme is computational efficient and gets higher correct detection rate. These properties make it a suitable choice for the personalized news consuming system.
Vorheriger Artikel Effective distributed service architecture for ubiquitous video surveillance
Nächster Artikel Advanced secure multimedia services for digital homes

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Metadaten
Titel
Automatic and fast temporal segmentation for personalized news consuming
verfasst von
Yuan Dong
Shiguo Lian
Publikationsdatum
01.07.2012
Verlag
Springer US
Erschienen in
Information Systems Frontiers / Ausgabe 3/2012
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI
https://doi.org/10.1007/s10796-010-9256-y

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