JOURNAL ARTICLE

Semantic annotation and retrieval of video events using multimedia ontologies

Abstract

Effective usage of multimedia digital libraries has to deal with the problem of building efficient content annotation and retrieval tools. In this paper multimedia ontologies, that include both linguistic and dynamic visual ontologies, are presented and their implementation for soccer video domain is shown. The structure of the proposed ontology itself, together with reasoning, can be used to perform higher-level annotation of the clips, to generate complex queries that comprise actions and their temporal evolutions and relations and to create extended text commentaries of video sequences.

Keywords:
Computer science Ontology Information retrieval Annotation Semantic annotation Domain (mathematical analysis) CLIPS Multimedia Video retrieval Image retrieval Digital video World Wide Web Semantics (computer science) Artificial intelligence Image (mathematics)

Metrics

30
Cited By
3.62
FWCI (Field Weighted Citation Impact)
28
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Analysis and Summarization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Music and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence

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