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Chapter and Conference Paper
A Model-Based Approach Providing Context-Sensitive Television Interaction
With this demonstrator of iFanzy, a Personalized Electronic Program Guide, we want to show how we approached the integration problem between various devices and various heterogeneous data sources in the televi...
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Chapter and Conference Paper
Convergence of Web and TV Broadcast Data for Adaptive Content Access and Navigation
iFanzy is a personalized TV guide application aiming at offering users television content in a personalized and context-sensitive way. It consists of a client-server system with multiple clients and devices su...
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Article
Semantic-based framework for personalised ambient media
The paper proposes a semantic-based metadata framework for personalised interaction with TV media in a connected home context. Our approach allows the current home media centres to go beyond the simple concept...
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Chapter and Conference Paper
Semantics-Based Framework for Personalized Access to TV Content: The iFanzy Use Case
The ICT landscape is develo** into a highly-interactive distributed environment in which people interact with multiple devices (e.g. portable devices such as mobile phones and home equipment such as TV’s) an...
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Chapter and Conference Paper
SenSee Framework for Personalized Access to TV Content
In this paper we present our framework, SenSee, designed to provide context-aware and personalized search that can be used to support multimedia applications in making content recommendations. Our primary demo...