Semantic Indexing of Multimedia Documents
IEEE MultiMedia
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
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
Automatic soccer video analysis and summarization
IEEE Transactions on Image Processing
Multimedia Tools and Applications
Enhancing TV programmes with additional contents using MPEG-7 segmentation information
Expert Systems with Applications: An International Journal
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Creating and editing videos is a costly process in terms of time and money. For this reason, reusability is a major issue in this field; hence, videos should be appropriately labelled, describing its structure and content, but this process is costly too. However, for some types of videos, this information is already expressed as structured text. In this paper, we present an automatic tagging system to describe the structure and semantics of the videos for sports events, extracting information from the chronicles for these events written in the web pages of some journals or sports organisations.