Active video watching using annotation
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 2)
Semantic Indexing of Multimedia Documents
IEEE MultiMedia
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Semantic annotation of soccer videos: automatic highlights identification
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Data & Knowledge Engineering - NLDB2002
Ontology-Based Semantic Indexing for MPEG-7 and TV-Anytime Audiovisual Content
Multimedia Tools and Applications
Usage patterns of collaborative tagging systems
Journal of Information Science
Automatic live tagging of videos using chronicles
Proceedings of the 2008 Ambi-Sys workshop on Ambient media delivery and interactive television
Extracting salient keywords from instructional videos using joint text, audio and visual cues
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
A model for personalized learning through IDTV
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
AVATAR: an improved solution for personalized TV based on semantic inference
IEEE Transactions on Consumer Electronics
Automatic soccer video analysis and summarization
IEEE Transactions on Image Processing
Hi-index | 12.05 |
Interactive Digital TV offers a large amount of TV channels, as well as new contents that come along with the TV programmes. To take advantage of these additional contents and make them easily available to viewers, this paper proposes to offer additional contents linked to the segments of TV programmes by means of semantic relations obtained using MPEG-7 segmentation information. As a practical use of this work, we propose two different application fields: t-learning, with the aim of using TV programmes to engage viewers in education; and personalised advertising, whose goal is offering viewers products of their interest, maximising its effectiveness.