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» Optimizing Multi-Feature Queries for Image Databases
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VLDB
2000
ACM
121views Database» more  VLDB 2000»
13 years 8 months ago
Optimizing Multi-Feature Queries for Image Databases
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 que...
Ulrich Güntzer, Wolf-Tilo Balke, Werner Kie&s...
CIDR
2011
228views Algorithms» more  CIDR 2011»
12 years 8 months ago
Crowdsourced Databases: Query Processing with People
Amazon’s Mechanical Turk (“MTurk”) service allows users to post short tasks (“HITs”) that other users can receive a small amount of money for completing. Common tasks on...
Adam Marcus 0002, Eugene Wu 0002, Samuel Madden, R...
ECIR
2011
Springer
12 years 8 months ago
Dynamic Two-Stage Image Retrieval from Large Multimodal Databases
Abstract. Content-based image retrieval (CBIR) with global features is notoriously noisy, especially for image queries with low percentages of relevant images in a collection. More...
Avi Arampatzis, Konstantinos Zagoris, Savvas A. Ch...
CVDB
2005
ACM
13 years 7 months ago
Optimizing progressive query-by-example over pre-clustered large image databases
The typical mode for querying in an image content-based information system is query-by-example, which allows the user to provide an image as a query and to search for similar imag...
Anicet Kouomou Choupo, Laure Berti-Equille, Annie ...
CLEF
2004
Springer
13 years 10 months ago
Content-Based Queries on the CasImage Database Within the IRMA Framework
Abstract. Recent research has suggested that there is no general similarity measure, which can be applied on arbitrary databases without any parameterization. Hence, the optimal co...
Christian Thies, Mark Oliver Güld, Benedikt F...