Iconic indexing by 2-D strings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Principles of pictorial information systems design
Principles of pictorial information systems design
Similarity retrieval of iconic image database
Pattern Recognition
2D C-string: a new spatial knowledge representation for image database systems
Pattern Recognition
Image Information Systems: Where Do We Go From Here?
IEEE Transactions on Knowledge and Data Engineering
An Intelligent Image Database System
IEEE Transactions on Software Engineering
Extended Symbolic Projections as a Knowledge Structure for Spatial Reasoning
Proceedings of the 4th International Conference on Pattern Recognition
Computer
Virtual Images for Similarity Retrieval in Image Databases
IEEE Transactions on Knowledge and Data Engineering
Developing an object-oriented framework for content-based image retrieval
Software—Practice & Experience
Graphics Recognition - from Re-engineering to Retrieval
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
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This paper presents a method of indexing pictures by pattern recognition based on key image objects for large scale image databases. The idea is to generate an image ''signature'' for each database picture with respect to ''key'' objects. Such signatures are subsequently used to make picture retrieval more efficient by fast bitwise matching to reduce the search space before requiring compute-intensive similarity retrieval. Pictures with the same bit-pattern in their signatures are envisioned as a cluster. A set of key objects can be selected to ensure a good distribution of the pictures amongst the kernel clusters. We show that our mechanism of selecting keys is very effective in terms of minimizing subsequent similarity matching for both simulated and real image databases.