Using a Multimedia Ontology Infrastructure for Semantic Annotation of Multimedia Content

@inproceedings{Athanasiadis2005UsingAM,
  title={Using a Multimedia Ontology Infrastructure for Semantic Annotation of Multimedia Content},
  author={Thanos Athanasiadis and Vassilis Tzouvaras and Kosmas Petridis and Fr{\'e}d{\'e}ric Precioso and Yannis S. Avrithis and Yiannis Kompatsiaris},
  booktitle={SemAnnot@ISWC},
  year={2005}
}
In this paper we discuss the use of knowledge for the automatic extraction of semantic metadata from multimedia content. For the representation of knowledge we extended and enriched current general-purpose ontologies to include low-level visual features. More specifically, we implemented a tool that links MPEG-7 visual descriptors to high-level, domain-specific concepts. For the exploitation of this knowledge infrastructure we developed an experimentation platform, that allows us to analyze… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 15 references

Fusing MPEG7 visual descriptors for image classiffication

H. Le Borgne, T. Mailis, E. Cooke, Y. Avrithis, N. O’Connor
Proc . of International Conference on Artificial Neural Networks ICANN 05 • 2005

and N

E. Spyrou, H. Le Borgne, T. Mailis, E. Cooke, Y. Avrithis
O’Connor. Fusing MPEG-7 visual descriptors for image classiffication. In Proc. of International Conference on Artificial Neural Networks ICANN 05, Warsaw, Poland, September • 2005
View 1 Excerpt

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