On-the-fly learning for visual search of large-scale image and video datasets

@article{Chatfield2015OntheflyLF,
  title={On-the-fly learning for visual search of large-scale image and video datasets},
  author={K. Chatfield and R. Arandjelovi{\'c} and Omkar M. Parkhi and Andrew Zisserman},
  journal={International Journal of Multimedia Information Retrieval},
  year={2015},
  volume={4},
  pages={75 - 93}
}
  • K. Chatfield, R. Arandjelović, +1 author Andrew Zisserman
  • Published 2015
  • Computer Science, Medicine
  • International Journal of Multimedia Information Retrieval
  • The objective of this work is to visually search large-scale video datasets for semantic entities specified by a text query. The paradigm we explore is constructing visual models for such semantic entities on-the-fly, i.e. at run time, by using an image search engine to source visual training data for the text query. The approach combines fast and accurate learning and retrieval, and enables videos to be returned within seconds of specifying a query. We describe three classes of queries, each… CONTINUE READING
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