VisualNet: Commonsense knowledgebase for video and image indexing and retrieval application

@article{Altadmri2009VisualNetCK,
  title={VisualNet: Commonsense knowledgebase for video and image indexing and retrieval application},
  author={Amjad A. Altadmri and Amr Adel Hassan Ahmed},
  journal={2009 IEEE International Conference on Intelligent Computing and Intelligent Systems},
  year={2009},
  volume={3},
  pages={636-641}
}
The rapidly increasing amount of video collections, available on the web or via broadcasting, motivated research towards building intelligent tools for searching, rating, indexing and retrieval purposes. Establishing a semantic representation of visual data, mainly in textual form, is one of the important tasks. The time needed for building and maintaining Ontologies and knowledge, especially for wide domain, and the efforts for integrating several approaches emphasize the need for unified… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

References

Publications referenced by this paper.
Showing 1-10 of 14 references

Automatic semantic video annotation in wide domain videos based on similarity and commonsense knowledgebases

2009 IEEE International Conference on Signal and Image Processing Applications • 2009
View 1 Excerpt

Semantic Concept Learning through Massive Internet Video Mining

2008 IEEE International Conference on Data Mining Workshops • 2008
View 1 Excerpt

The stanford nlp loglinear part of speech tagger

A. Altadmri, A. Ahmed
Asia Information Retrieval Symposium • 2008

Similar Papers

Loading similar papers…