@inproceedings{znaidia2012icpr,
  title     = {Bag-of-multimedia-words for image classification},
  author    = {Znaidia, Amel and Shabou, Aymen and Le Borgne, Herv{\'e} and Hudelot, C{\'e}line and Paragios, Nikos},
  booktitle = {Pattern Recognition (ICPR), 2012 21st International Conference on},
  pages     = {1509--1512},
  year      = {2012},
  url_PDF   = {https://hleborgne.github.io/files/znaidia2012icpr.pdf},
  abstract  = {We introduce the bag-of-multimedia-words model that tightly combines the heterogeneous information coming from the text and the pixel-based information of a multimedia document. The proposed multimedia feature generation process is generic for any multi-modality and aims at enriching a multimedia document description with compact and discriminative signatures well appropriate to linear classifiers. It is evaluated on the Pascal VOC 2007 classification challenge, outperforming the state-of-the-art bag-of-visual-words or bag-of-tag-words based classification approaches.},
  keywords  = {vision-language}
}

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