Clustering a DAG for CAD Databases
IEEE Transactions on Software Engineering
Communications of the ACM
Unifying textual and visual cues for content-based image retrieval on the World Wide Web
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MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
The state of the art in distributed query processing
ACM Computing Surveys (CSUR)
Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computing iceberg concept lattices with TITANIC
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On Clustering Validation Techniques
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SemQuery: Semantic Clustering and Querying on Heterogeneous Features for Visual Data
IEEE Transactions on Knowledge and Data Engineering
A Region-Based Fuzzy Feature Matching Approach to Content-Based Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
An effective region-based image retrieval framework
Proceedings of the tenth ACM international conference on Multimedia
M-tree: An Efficient Access Method for Similarity Search in Metric Spaces
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
The A-tree: An Index Structure for High-Dimensional Spaces Using Relative Approximation
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Affinity-Based Probabilistic Reasoning and Document Clustering on the WWW
COMPSAC '00 24th International Computer Software and Applications Conference
QCluster: relevance feedback using adaptive clustering for content-based image retrieval
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Image database retrieval utilizing affinity relationships
MMDB '03 Proceedings of the 1st ACM international workshop on Multimedia databases
Generic image classification using visual knowledge on the web
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Temporal event clustering for digital photo collections
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
A practical SVM-based algorithm for ordinal regression in image retrieval
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
WALRUS: A Similarity Retrieval Algorithm for Image Databases
IEEE Transactions on Knowledge and Data Engineering
Affinity relation discovery in image database clustering and content-based retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Techniques and data structures for efficient multimedia retrieval based on similarity
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
Joint semantics and feature based image retrieval using relevance feedback
IEEE Transactions on Multimedia
Stochastic clustering for organizing distributed information sources
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
A self-organizing network for hyperellipsoidal clustering (HEC)
IEEE Transactions on Neural Networks
Efficient and Flexible Cluster-and-Search for CBIR
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
A latent image semantic indexing scheme for image retrieval on the web
WISE'06 Proceedings of the 7th international conference on Web Information Systems
Unsupervised clustering in personal photo collections
AMR'08 Proceedings of the 6th international conference on Adaptive Multimedia Retrieval: identifying, Summarizing, and Recommending Image and Music
Rule-Based Semantic Concept Classification from Large-Scale Video Collections
International Journal of Multimedia Data Engineering & Management
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With the proliferation of image data, the need to search and retrieve images efficiently and accurately from a large image database or a collection of image databases has drastically increased. To address such a demand, a unified framework called Markov Model Mediators (MMMs) is proposed in this paper to facilitate conceptual database clustering and to improve the query processing performance by analyzing the summarized knowledge. The unique characteristics of MMMs are that it provides the capabilities of exploring the affinity relations among the images at the database level and among the databases at the cluster level respectively, using an effective data mining process. At the database level, each database is modeled by an intra-database MMM which enables accurate image retrieval within the database. Then the conceptual database clustering is performed and cluster-level knowledge summarization is conducted to reduce the cost of retrieving images across the databases. This framework has been tested using a set of image databases, which contain various numbers of images with different dimensions and concept categories. The experimental results demonstrate that our framework achieves better retrieval accuracy via inter-cluster retrieval than that of intra-cluster retrieval with minimal extra effort.