ALIWEB—Archie-like indexing in the WEB
Selected papers of the first conference on World-Wide Web
Searching distributed collections with inference networks
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Combining multiple evidence from different properties of weighting schemes
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
BIRCH: an efficient data clustering method for very large databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Efficient resource selection in distributed visual information systems
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Geographical image classification and retrieval
GIS '97 Proceedings of the 5th ACM international workshop on Advances in geographic information systems
Probability and Statistics with Reliability, Queuing and Computer Science Applications
Probability and Statistics with Reliability, Queuing and Computer Science Applications
Supporting Content-Based Retrieval in Large Image Database Systems
Multimedia Tools and Applications
NetView: Integrating Large-Scale Distributed Visual Databases
IEEE MultiMedia
A Visual Information Management System for the Interactive Retrieval of Faces
IEEE Transactions on Knowledge and Data Engineering
Merging Ranks from Heterogeneous Internet Sources
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Efficient and Effective Clustering Methods for Spatial Data Mining
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Generalizing GlOSS to Vector-Space Databases and Broker Hierarchies
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Metadatabase and Search Agent for Multimedia Database Access over Internet
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Color Clustering Techniques for Color-Content-Based Image Retrieval from Image Databases
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Association and Content-Based Retrieval
IEEE Transactions on Knowledge and Data Engineering
Heterogeneous image database selection on the web
Journal of Systems and Software
Distributed content-based visual information retrieval system on peer-to-peer networks
ACM Transactions on Information Systems (TOIS)
A data mining approach to modeling relationships among categories in image collection
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Webview: a distributed geographical image retrieval system
dg.o '02 Proceedings of the 2002 annual national conference on Digital government research
SemView: a semantic-sensitive distributed image retrieval system
dg.o '03 Proceedings of the 2003 annual national conference on Digital government research
Source selection for image retrieval in peer-to-peer networks
FDIA'09 Proceedings of the Third BCS-IRSG conference on Future Directions in Information Access
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With the advances in multimedia databases and the popularization of the Internet, it is now possible to access large image and video repositories distributed throughout the world. One of the challenging problems in such an access is how the information in the respective databases can be summarized to enable an intelligent selection of relevant database sites based on visual queries. This paper presents an approach to solve this problem based on image content-based indexing of a metadatabase at a query distribution server. The metadatabase records a summary of the visual content of the images in each database through image templates and statistical features characterizing the similarity distributions of the images. The selection of the databases is done by searching the metadatabase using a ranking algorithm that uses query similarity to a template and the features of the databases associated with the template. Two selection approaches, termed mean-based and histogram-based approaches, are presented. The database selection mechanisms have been implemented in a metaserver, and extensive experiments have been performed to demonstrate the effectiveness of the database selection approaches.