Iconic indexing by 2-D strings
IEEE Transactions on Pattern Analysis and Machine Intelligence
A robust framework for content-based retrieval by spatial similarity in image databases
ACM Transactions on Information Systems (TOIS)
Query refinement for multimedia similarity retrieval in MARS
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Efficient content-based indexing of large image databases
ACM Transactions on Information Systems (TOIS)
Picture Similarity Retrieval Using the 2D Projection Interval Representation
IEEE Transactions on Knowledge and Data Engineering
Spatial layout representation for query-by-sketch content-based image retrieval
Pattern Recognition Letters
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
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
FeedbackBypass: A New Approach to Interactive Similarity Query Processing
Proceedings of the 27th International Conference on Very Large Data Bases
Qualitative Spatial Relationships Representation IO&T and its Retrieval
DEXA '98 Proceedings of the 9th International Conference on Database and Expert Systems Applications
Toward Perception-Based Image Retrieval
CBAIVL '00 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00)
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
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Similarity-based retrieval of images is an important task in many image database applications. Interactive similarity retrieval is one way to resolve the fuzzy area involving psychological and physiological factors of individuals during the retrieval process. A good interactive similarity system is not only dependent on a good measure system, but also closely related to the structure of the image database and the retrieval process based on the respective image database structure. In this paper, we propose to use a dynamic similarity measure on top of the enhanced digraph index structure for interactive iconic image similarity retrieval. Our approach makes use of the multiple feedbacks from the user to get the hidden subjective information during the retrieval process, and avoids the high cost of re-computation of an interactive retrieval algorithm.