DISIMA: A Distributed and Interoperable Image Database System
Summary: DISIMA is a distributed image DBMS with an object-oriented image model and dual query interfaces (declarative and visual) for syntactic and semantic features. Its architecture is interoperable and distributed, built on Object Management Architecture standards. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Vincent Oria (New Jersey Institute of Technology; University of Alberta)
- 2. M. Tamer Özsu (University of Alberta)
- 3. Paul J. Iglinski (University of Alberta)
- 4. Shu Lin (University of Alberta)
- 5. Bin Yao (University of Alberta)
BibTeX Citation
@inproceedings{oria_sigmod00,
title = {{DISIMA: A Distributed and Interoperable Image Database System}},
author = {Oria, Vincent and Özsu, M. Tamer and Iglinski, Paul J. and Lin, Shu and Yao, Bin},
series = {{SIGMOD} '00},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/342009.336589},
url = {https://dl.acm.org/doi/10.1145/342009.336589},
year = {2000}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,074 | Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches | 2021 | VLDB | 6.9024242e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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