SEMCOG: An Object-based Image Retrieval System and Its Visual Query Interface
Summary: SEMCOG is an object-based image retrieval system with a visual query interface that unifies semantics-based and cognition-based retrieval to expand expressiveness. It mitigates sketch imprecision and generic-concept queries by supporting hybrid visual-semantic expressions and by visualizing the resulting target images. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Wen-Syan Li (NEC Corporation)
- 2. K. Selçuk Candan (NEC Corporation)
- 3. Kyoji Hirata (NEC Corporation)
- 4. Yoshinori Hara (NEC Corporation)
BibTeX Citation
@inproceedings{li_sigmod97,
title = {{SEMCOG: An Object-based Image Retrieval System and Its Visual Query Interface}},
author = {Li, Wen-Syan and Candan, K. Selçuk and Hirata, Kyoji and Hara, Yoshinori},
series = {{SIGMOD} '97},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/253260.253384},
url = {https://dl.acm.org/doi/10.1145/253260.253384},
year = {1997}
}
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