Interest Based Selection of User Generated Content for Rich Multimedia Services

In view of the overwhelming popularity of user generated content, both in terms of production and consumption, new intelligent services are needed to help users finding the content they need and enhance existing services with suitably selected content. In this paper we present a set of algorithms fo...

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Bibliographic Details
Published in2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services pp. 36 - 40
Main Authors Van Laere, O., Strobbe, M., Dauwe, S., Dhoedt, B., De Turck, F., Demeester, P., Verde, O., Hulsken, F.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2008
Subjects
Communication
Content based retrieval
Content retrieval
Context Awareness
Feedback
Image analysis
Information analysis
Information technology
Multimedia systems
Production
Speech analysis
Technological innovation
User Generated Communication
User Generated Content
User Interests
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Summary:In view of the overwhelming popularity of user generated content, both in terms of production and consumption, new intelligent services are needed to help users finding the content they need and enhance existing services with suitably selected content. In this paper we present a set of algorithms for retrieving content, based on dynamic user profiles and learning capabilities (e.g. based on user feedback). The profile information is used in content searches as well as for assisting the user input analysis process (i.e. speech recognition). To illustrate the approach taken, a rich communication service is presented. Here, the basic service (i.e. voice/video conferencing) is enhanced by showing pictures in real time to the users based on the topic of their conversation and their specific interests.
ISBN:0769533442
9780769533445
ISSN:2158-5873
DOI:10.1109/WIAMIS.2008.21