Ontology-based multi-classification learning for video concept detection

@article{Wu2004OntologybasedML,
  title={Ontology-based multi-classification learning for video concept detection},
  author={Yanqing Wu and Belle L. Tseng and John R. Smith},
  journal={2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)},
  year={2004},
  volume={2},
  pages={1003-1006 Vol.2}
}
In this paper, an ontology-based multi-classification learning algorithm is adopted to detect concepts in the NIST TREC-2003 video retrieval benchmark which defines 133 video concepts, organized hierarchically and each video data can belong to one or more concepts. The algorithm consists of two steps. In the first step, each single concept model is constructed independently. In the second step, ontology-based concept learning improves the accuracy of the individual concept by considering the… CONTINUE READING
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