Principles of pictorial information systems design
Principles of pictorial information systems design
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IBM Journal of Research and Development
Multirate systems and filter banks
Multirate systems and filter banks
Identifying Faces Using Multiple Retrievals
IEEE MultiMedia
Quad-tree segmentation for texture-based image query
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
The TV-tree: an index structure for high-dimensional data
The VLDB Journal — The International Journal on Very Large Data Bases - Spatial Database Systems
An Intelligent Image Database System
IEEE Transactions on Software Engineering
A Visual Information Management System for the Interactive Retrieval of Faces
IEEE Transactions on Knowledge and Data Engineering
Efficient resource selection in distributed visual information systems
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
NetView: Integrating Large-Scale Distributed Visual Databases
IEEE MultiMedia
Data Resource Selection in Distributed Visual Information Systems
IEEE Transactions on Knowledge and Data Engineering
Semantic Modeling and Knowledge Representation in Multimedia Databases
IEEE Transactions on Knowledge and Data Engineering
A generalized metric distance between hierarchically partitioned images
MDM '05 Proceedings of the 6th international workshop on Multimedia data mining: mining integrated media and complex data
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In this paper, we investigate approaches to supporting effective and efficient retrieval of image data based on content. We firstintroduce an effective block-oriented image decomposition structure which can be used to represent image content inimage database systems. We then discuss theapplication of this image data model to content-based image retrieval.Using wavelet transforms to extract image features,significant content features can be extracted from image datathrough decorrelating the data in their pixel format into frequency domain. Feature vectors ofimages can then be constructed. Content-based image retrievalis performed by comparing the feature vectors of the query imageand the decomposed segments in database images.Our experimental analysis illustrates that the proposed block-oriented image representationoffers a novel decomposition structure to be used tofacilitate effective and efficient image retrieval.