Content-Based Video Retrieval Using Video Ontology

@article{Shirahama2007ContentBasedVR,
  title={Content-Based Video Retrieval Using Video Ontology},
  author={Kimiaki Shirahama and Kazuyuki Otaka and Kuniaki Uehara},
  journal={Ninth IEEE International Symposium on Multimedia Workshops (ISMW 2007)},
  year={2007},
  pages={283-289}
}
In this paper; we aim to efficiently retrieve various kinds of events (e.g. conversation, battle, run/walk and so on) from a video archive. To this end, we construct a "video ontology" which is a formal and explicit specification of events. Specifically, an event is modeled to have 4 dimensions of semantic contents (i. e. Action, Location, Time and Shooting technique). For retrieving such events, concepts in 4 dimensions need to be automatically detected. So, we conduct "video data mining" to… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

References

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

A timeconstrained sequential pattern mining for extracting semantic events in videos

  • K. Ideno K. Shirahama, K. Uehara
  • 2006

Towards a unified framework for contextpreserving video retrieval and summarization

  • H. Knublauch, A. Rector, S. Chatvichienchai N. Pattanasri, K. Tanaka
  • Proc . of ICADL
  • 2005