Personalization of interactive objects in the GMF4iTV project

This paper describes the personalization mechanism that is being implemented in the GMF4iTV Project. GMF4iTV is a European project which aims at developing techniques to create television programs with interactive objects using the DVB-MHP platform. Interactive objects are moving areas of the TV picture (generally superposed to characters, objects in the scene, or specific spots) with associated metadata. When the user selects one of these objects, the associated metadata is displayed. Personalization is used for both object and associated metadata selection. This paper describes the current version of the GMF4iTV prototype.

[1]  A. Bell.  The language of news media , 1991 .

[2]  John Riedl,et al.  PolyLens: A recommender system for groups of user , 2001, ECSCW.

[3]  Milind R. Naphade,et al.  Extracting semantics from audio-visual content: the final frontier in multimedia retrieval , 2002, IEEE Trans. Neural Networks.

[4]  Nicholas R. Jennings,et al.  Variable Sociability in Agent-Based Decision Making , 1999, ATAL.

[5]  Diomidis Spinellis,et al.  The Virtual Channel Model for Personalized Television , 2003 .

[6]  Michael J. Pazzani,et al.  A Framework for Collaborative, Content-Based and Demographic Filtering , 1999, Artificial Intelligence Review.

[7]  Liliana Ardissono,et al.  Architecture of a system for the generation of personalized Electronic Program Guides , 2001 .

[8]  V. Michael Bove,et al.  Adding Hyperlinks to Digital Television , 1998 .

[9]  Liliana Ardissono,et al.  Tailoring the Recommendation of Tourist Information to Heterogeneous User Groups , 2001, OHS-7/SC-3/AH-3.

[10]  Robert S. Lee,et al.  How and why people watch TV: implications for the future of interactive television , 1995 .

[11]  John Riedl,et al.  Explaining collaborative filtering recommendations , 2000, CSCW '00.

[12]  Judith Masthoff,et al.  Group Modeling: Selecting a Sequence of Television Items to Suit a Group of Viewers , 2004, User Modeling and User-Adapted Interaction.

[13]  A. López,et al.  SYNCHRONIZED MPEG-7 METADATA BROADCASTING OVER DVB NETWORKS IN AN MHP APPLICATION FRAMEWORK , 2003 .

[14]  Joseph F. McCarthy,et al.  MusicFX: an arbiter of group preferences for computer supported collaborative workouts , 1998, CSCW '98.

[15]  Marc J. Rosenberg,et al.  E-Learning: Strategies for Delivering Knowledge in the Digital Age , 2000 .

[16]  Alfred Kobsa,et al.  Personalized Digital Television: Targeting Programs to Individual Viewers (Human-Computer Interaction Series, 6) , 2004 .

[17]  Patrick Baudisch,et al.  TV Scout: Lowering the Entry Barrier to Personalized TV Program Recommendation , 2002, From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments.

[18]  André Ferreira,et al.  Interactive television usage and applications: the Portuguese case-study , 2004, Comput. Graph..

[19]  John Morris,et al.  Share it! by bringing P2P into the tv-domain , 2003, Proceedings Third International Conference on Peer-to-Peer Computing (P2P2003).

[20]  A. Prata,et al.  Impact of a on-line application for teaching video to a multimedia course in high level education , 2003, International Conference on Information Technology: Research and Education, 2003. Proceedings. ITRE2003..

[21]  Peter Haddawy,et al.  The Decision-Theoretic Video Advisor* , 1998 .

[22]  Anton Nijholt,et al.  Prediction Strategies in a TV Recommender System – Method and Experiments , 2003, ICWI.

[23]  Hervé Benoit.  Digital Television: MPEG-1, MPEG-2 and Principles of the DVB System , 1997 .

[24]  Rajeev Motwani,et al.  The PageRank Citation Ranking : Bringing Order to the Web , 1999, WWW 1999.

[25]  Jeroen Van Barneveld,et al.  Designing Usable Interfaces for TV Recommender Systems , 2004, Personalized Digital Television.

[26]  Jeho Nam,et al.  Personalized Contents Guide and Browsing based on User Preference , 2002 .

[27]  John Zimmerman,et al.  Media Augmentation and Personalization Through Multimedia Processing and Information Extraction , 2004, Personalized Digital Television.

[28]  Célia Quico.  Televisão Digital e Interactiva:: o desafio de adequar a oferta às necessidades e preferências dos utilizadores , 2004 .

[29]  Mark T. Maybury,et al.  Personalcasting: Tailored Broadcast News , 2004, User Modeling and User-Adapted Interaction.

[30]  Ian E. Smith,et al.  Authoring and Navigating Video in Space and Time , 1997, IEEE Multim..

[31]  David Sinclair,et al.  Ontological query language for content based image retrieval , 2001, Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001).

[32]  V. Michael Bove,et al.  Viper: A Framework for Responsive Television , 2003, IEEE Multim..

[33]  Leena Eronen,et al.  User Centered Research for Interactive Television , 2003 .

[34]  Judith Masthoff,et al.  Modeling the Multiple People That Are Me , 2003, User Modeling.

[35]  Kate Ehrlich,et al.  Pointing the way: active collaborative filtering , 1995, CHI '95.

[36]  C. C. Kuo,et al.  Semantic Video Object Segmentation for Content-Based Multimedia Applications , 2001 .

[37]  Frank van Harmelen,et al.  A semantic web primer , 2004 .

[38]  Judith Masthoff,et al.  Proceedings of the workshop Future TV: Adaptive instruction in your living room , 2002 .

[39]  Barry Smyth,et al.  A personalised TV listings service for the digital TV age , 2000, Knowl. Based Syst..