Corpus ID: 8747388

TRECVID 2005 Experiment at Johns Hopkins University: Using Hidden Markov Models for Video Retrieval

@inproceedings{Pytlik2005TRECVID2E,
  title={TRECVID 2005 Experiment at Johns Hopkins University: Using Hidden Markov Models for Video Retrieval},
  author={Brock Pytlik and A. Ghoshal and D. Karakos and S. Khudanpur},
  booktitle={TRECVID},
  year={2005}
}
  • Brock Pytlik, A. Ghoshal, +1 author S. Khudanpur
  • Published in TRECVID 2005
  • Computer Science
  • The use of hidden Markov models (HMMs) for the high-level feature detection task of TRECVID 2005 is described. Highlevel features present in a keyframe are assumed to constitute the state-space of a Markov chain. The observed visual features of the keyframe, as well as the text accompanying the keyframe, are modeled as stochastic emissions from (unobserved) states of this Markov chain. Manual annotations of shots for the presence of these high-level features, as provided by NIST, constitute the… CONTINUE READING
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