LIA @ MediaEval 2011: Compact representation of heterogeneous descriptors for video genre classification

@inproceedings{Rouvier2011LIAM,
  title={LIA @ MediaEval 2011: Compact representation of heterogeneous descriptors for video genre classification},
  author={Mickael Rouvier and Georges Linar{\`e}s},
  booktitle={MediaEval},
  year={2011}
}
This paper describes our participation in Genre Tagging Task @ MediaEval 2011, which aims at predicting the Genre of Internet videos. We propose a method that extracts low dimensional feature space based on text, audio and video information. In the best configuration, our system yields a 0.56 MAP (Mean Average Precision) on the test corpus. 

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  • In the best configuration, our system yields a 0.56 MAP (Mean Average Precision) on the test corpus.

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