Color and Shape Index for Region-Based Image Retrieval
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
Region-based image retrieval using integrated color, shape, and location index
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Pattern Recognition Letters
Local relational string and mutual matching for image retrieval
Information Processing and Management: an International Journal
Fuzzy color quantization and its application in content-based image retrieval
CISST'08 Proceedings of the 2nd WSEAS International Conference on Circuits, Systems, Signal and Telecommunications
Abstraction and complexity measures
SARA'07 Proceedings of the 7th International conference on Abstraction, reformulation, and approximation
A spatiotemporal text localization and identification approach for content-based video browsing
Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
An object based auto annotation image retrieval system
TELE-INFO'06 Proceedings of the 5th WSEAS international conference on Telecommunications and informatics
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Our world is dominated by visual information and a tremendous amount of such information is being added day-by- day. It would be impossible to cope with this explosion of visual data, unless they are organized such that we can retrieve them efficiently and effectively. The main problem in organizing and managing such visual data is indexing, the assignment of a synthetic descriptor which facilitates its retrieval. It involves extracting relevant entities or characteristics from images as index keys. Then a representation is chosen for the keys and specific meaning is assigned to it. Color is an important cue for Content Based Image Retrieval (CBIR) systems. We propose a technique to index and store images based on dominant color regions. Features like region size and location of the region are extracted and used as similarity measures. Images with similar indices are stored as an image cluster in a Hash table. A prototype of the retrieval system is developed using JAVA language.