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Learning Consumer Photo Categories for Semantic Retrieval

Joo-Hwee Lim, Jesse S. Jin
IJCAI 2003 pp. 1413-1414
/ijcai/2003/lim2003ijcai-learning/

Abstract

In this paper, wo develop a computational learning framework to build a hierarchy of 11 consumer photo categories for semantic retrieval. Two levels of visual semantics are learned for image content and image category statistically. We evaluate the average precisions at top retrieved photos on 2400 heterogeneous consumer photos with very good result. 1

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Text

Lim and Jin. "Learning Consumer Photo Categories for Semantic Retrieval." International Joint Conference on Artificial Intelligence, 2003.

Markdown

[Lim and Jin. "Learning Consumer Photo Categories for Semantic Retrieval." International Joint Conference on Artificial Intelligence, 2003.](https://mlanthology.org/ijcai/2003/lim2003ijcai-learning/)

BibTeX

@inproceedings{lim2003ijcai-learning,
  title     = {{Learning Consumer Photo Categories for Semantic Retrieval}},
  author    = {Lim, Joo-Hwee and Jin, Jesse S.},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2003},
  pages     = {1413-1414},
  url       = {https://mlanthology.org/ijcai/2003/lim2003ijcai-learning/}
}