Similarity based Retrieval of Pictures Using Indices on Spatial Relationships
Summary: Two similarity-based picture retrieval methods using spatial-relations indices. Introduces efficient deduction and reduction of spatial relations for similarity computation, and constructs a spatial similarity function with a key property. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. A. Prasad Sistla (University of Illinois Chicago)
- 2. Clement Yu (University of Illinois Chicago)
- 3. Chengwen Liu (University of Illinois Chicago)
- 4. King Liu (University of Illinois Chicago)
BibTeX Citation
@article{sistla_vldb95,
title = {{Similarity based Retrieval of Pictures Using Indices on Spatial Relationships}},
author = {Sistla, A. Prasad and Yu, Clement and Liu, Chengwen and Liu, King},
journal = {PVLDB},
series = {{VLDB} '95},
pages = {619},
year = {1995}
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,273 | Semantic Queries with Pictures: The VIMSYS Model | 1991 | VLDB | 6.2888624e-05 |
| 5,387 | A Temporal Evolutionary Object-Oriented Data Model and Its Query Language for Medical Image Management | 1992 | VLDB | 6.2368961e-05 |
| 6,020 | An Information Retrieval Approach for Image Databases | 1992 | VLDB | 6.0053672e-05 |
| 7,364 | Reasoning about Spatial Relationships in Picture Retrieval Systems | 1994 | VLDB | 5.6331465e-05 |
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