Learning Consumer Photo Categories for Semantic Retrieval
Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence. Pages 1413-1413.
Abstract
In this paper, we develop a computational learning framework to build a hierarchy of 11 cons um er photo categories for semantic retrieval. Two levels of visual semantics are learned for image content and image category statist ic ally. We evaluate the average precisions at top retrieved photos on 2400 heterogeneous consumer photos with very good result.
Joo-Hwee Lim, and Jesse S. Jin. 2003. Learning Consumer Photo Categories for Semantic Retrieval. In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03. IJCAI, 1413–1413. https://ijcai.org/proceedings/2003/219
Lim, J., & Jin, J. S. (2003). Learning Consumer Photo Categories for Semantic Retrieval. In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03 (pp. 1413–1413). IJCAI. https://ijcai.org/proceedings/2003/219
@inproceedings{ijcai2003p219,
title = {Learning Consumer Photo Categories for Semantic Retrieval},
author = {Lim, Joo-Hwee and Jin, Jesse S.},
booktitle = {Proceedings of the Eighteenth International Joint Conference on
Artificial Intelligence, {IJCAI-03}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Georg Gottlob},
pages = {1413--1413},
year = {2003},
url = {https://ijcai.org/proceedings/2003/219},
}
TY - CPAPER TI - Learning Consumer Photo Categories for Semantic Retrieval AU - Lim, Joo-Hwee AU - Jin, Jesse S. T2 - Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03 PB - International Joint Conferences on Artificial Intelligence PY - 2003 SP - 1413 EP - 1413 UR - https://ijcai.org/proceedings/2003/219 ER -Copied
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