A Survey on Content-Based Retrieval for Multimedia Databases
IEEE Transactions on Knowledge and Data Engineering
Multiple viewpoints as an approach to digital library interfaces
Journal of the American Society for Information Science and Technology
Addressing the challenge of visual information access from digital image and video libraries
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Texture Retrieval Effectiveness Improvement Using Multiple Representations Fusion
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Information retrieval from visual databases using multiple representations and multiple queries
Proceedings of the 2009 ACM symposium on Applied Computing
An approach based on multiple representations and multiple queries for invariant image retrieval
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
VISUAL'05 Proceedings of the 8th international conference on Visual Information and Information Systems
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Content-based image retrieval uses features that can be extracted from the images themselves. Using more than one representation of the images in a collection can improve the results presented to a user without changing the underlying feature extraction or search technologies. We present an example of this "multiple viewpoint" approach, multiple image channels, and discuss its advantages for an image-seeking user. This approach has also been shown to dramatically improve retrieval effectiveness in content-based image retrieval systems[3].