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 Information retrieval Video retrieval Semantic annotation Annotation Multimedia Image retrieval World Wide Web Semantic Web Stack Semantic Web Artificial intelligence Image (mathematics)

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FWCI (Field Weighted Citation Impact)
0
Refs
0.44
Citation Normalized Percentile
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Citation History

Topics

Video Analysis and Summarization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence

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