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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)

Paper ID
3042
Venue
SIGMOD
Year
1997
Pagerank
-
Overall Rank
14,250 | 2.57%
DOI
10.1145/253260.253384

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Authors

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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