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15

VLDB
2000
ACM

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Optimizing Multi-Feature Queries for Image Databases

13 years 8 months ago

Optimizing Multi-Feature Queries for Image Databases

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In digital libraries image retrieval queries can be based on the similarity of objects, using several feature attributes like shape, texture, color or text. Such multi-feature queries return a ranked result set instead of exact matches. Besides, the user wants to see only the k top-ranked objects. We present a new algorithm called Quick-Combine

Ulrich Güntzer, Wolf-Tilo Balke, Werner Kie&s

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Database | Image Retrieval Queries | Such Multi-feature Queries | Top-ranked Objects | VLDB 2000 |

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Added	26 Aug 2010
Updated	26 Aug 2010
Type	Conference
Year	2000
Where	VLDB
Authors	Ulrich Güntzer, Wolf-Tilo Balke, Werner Kießling

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