• DOI:10.1109/TMM.2011.2168948
Corpus ID: 11137261

Semantic Model Vectors for Complex Video Event Recognition

@article{Merler2012SemanticMV,
  title={Semantic Model Vectors for Complex Video Event Recognition},
  author={Michele Merler and Bert Huang and Lexing Xie and Gang Hua and A. Natsev},
  journal={IEEE Transactions on Multimedia},
  year={2012},
  volume={14},
  pages={88-101}
}

Michele Merler, Bert Huang, +2 authors A. Natsev

Published 2012

Computer Science

IEEE Transactions on Multimedia

We propose semantic model vectors, an intermediate level semantic representation, as a basis for modeling and detecting complex events in unconstrained real-world videos, such as those from YouTube. The semantic model vectors are extracted using a set of discriminative semantic classifiers, each being an ensemble of SVM models trained from thousands of labeled web images, for a total of 280 generic concepts. Our study reveals that the proposed semantic model vectors representation outperforms… CONTINUE READING

View on IEEE

users.cecs.anu.edu.au

Save to Library

Create Alert

Cite

Launch Research Feed