Integrating Broadcast and Web Video Content into Personal TV Channels Verus Pronk, Mauro Barbieri, Jan Korst
Adolf Proidl
Philips Research High Tech Campus 34 5656 AE Eindhoven The Netherlands
Philips APRICO Solutions Gutheil-Schoder-Gasse 10 A-1100 Vienna Austria
[email protected] ABSTRACT
[email protected] of the Action-movies channel with a number of recommended programs.
Despite, or exactly because of the wealth of video content available on the Web, it is often cumbersome to obtain access to exactly the content you like. It is an active process of filtering and making choices, often requiring searches through long lists of alternatives. Building upon the concept of personal TV channels, we demonstrate how Web video content can be seamlessly integrated with broadcast video content, thereby also providing personalized Web content.
Categories and Subject Descriptors H3.3 [Information Search and Retrieval]: Information filtering
Keywords
Figure 1: Screenshot of the demonstration software.
Personalization, broadcast video content, Web video content A fully operational system, employing TV content only, is currently being tested and used on a relatively large scale in Europe (see www.watchmi.tv). It has been implemented as a Windows Media Center plug-in. A larger, fully operational system is being implemented using a client-server architecture, allowing thin-client implementations, such as set-top boxes.
General Terms Design
1.
INTRODUCTION
The personal TV channel concept is a content management and usage concept for personal video recorders (PVRs). The concept provides a user interface that is virtually as simple as zapping and inherently supports multiple users. For a more elaborate exposition of this concept, we refer to [1]. Each personal TV channel provides a context that can be used to steer the search for Web video content, such as video on demand libraries or other repositories. We have automated the search process and in this way integrated Web video content in personal TV channels to provide easy access to this type of content. We will show two demonstrators equipped with personal channels, containing personalized TV as well as Web video content, and the way we interact with these channels and programs. One demonstrator has been implemented on an Android telephone and one on a tablet PC. The demonstrators provide recommendations for both types of content, based on naive Bayesian classification. Figure 1 provides a screenshot of the demonstration software, being executed on a mobile phone running the Android operating system for mobile devices. The screenshot illustrating the content
2. REFERENCES [1] S.P.P. Pronk, J. Korst, M. Barbieri, and A. Proidl. Personal television channels: simply zapping through your PVR content. In the Proceedings of the 1st International Workshop on Recommendation-based Industrial Applications, in conjunction with the 3rd ACM Conference on Recommender Systems, RecSys 2009, New York City, NY, October 2009.
Copyright is held by the author/owner(s). RecSys2010, September 26–30, 2010, Barcelona, Spain. ACM 978-1-60558-906-0/10/09.
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