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 [BibTeX] [Marc21]
A Large-Scale Database of Images and Captions for Automatic Face Naming
Type of publication: Conference paper
Citation: Ozcan_BMVC11_2011
Booktitle: Proceedings of the 22nd British Machine Vision Conference
Year: 2011
Month: August
Crossref: Ozcan_Idiap-RR-26-2011:
Abstract: We present a large scale database of images and captions, designed for supporting research on how to use captioned images from the Web for training visual classifiers. It consists of more than 125,000 images of celebrities from different fields downloaded from the Web. Each image is associated to its original text caption, extracted from the html page the image comes from. We coin it FAN-Large, for Face And Names Large scale database. Its size and deliberate high level of noise makes it to our knowledge the largest and most realistic database supporting this type of research. The dataset and its annotations are publicly available and can be obtained from http://www.vision.ee.ethz.ch/~calvin/fanlarge/. We report results on a thorough assessment of FAN-Large using several existing approaches for name-face association, and present and evaluate new contextual features derived from the caption. Our findings provide important cues on the strengths and limitations of existing approaches.
Projects Idiap
Authors Ozcan, Mert
Luo, Jie
Ferrari, Vittorio
Caputo, Barbara
Added by: [UNK]
Total mark: 0
  • Ozcan_BMVC11_2011.pdf