CORE: a content-based retrieval engine for multimedia information systems
Multimedia Systems - Special issue on content-based retrieval
Photobook: content-based manipulation of image databases
International Journal of Computer Vision
Fast parallel similarity search in multimedia databases
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Managing multimedia information in database systems
Communications of the ACM
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Medical Image Analysis: Progress over Two Decades and the Challenges Ahead
IEEE Transactions on Pattern Analysis and Machine Intelligence
Epsilon grid order: an algorithm for the similarity join on massive high-dimensional data
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
A Survey on Content-Based Retrieval for Multimedia Databases
IEEE Transactions on Knowledge and Data Engineering
High Dimensional Similarity Joins: Algorithms and Performance Evaluation
IEEE Transactions on Knowledge and Data Engineering
A Cost Model and Index Architecture for the Similarity Join
Proceedings of the 17th International Conference on Data Engineering
Image Databases Are Not Databases with Images
ICIAP '97 Proceedings of the 9th International Conference on Image Analysis and Processing-Volume II
Image domain formalization for content-based image retrieval
Proceedings of the 2005 ACM symposium on Applied computing
Combining semantic and content based image retrieval in ORDBMS
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
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Until recently, issues in image retrieval have been handled in DBMSs and in computer vision as separate research works. Nowadays, the trend is towards integrating the two approaches (content- and metadata-based) for multi-criteria image retrieval. However, most existing works and proposals in this domain lack a formal framework to deal with a multi-criteria query. In this paper, we introduce a formal framework to address this subject of image retrieval under an ORDBMS model. We first propose an image data repository model interoperable with current popular standards. Then, we present an algebraic formalism for content-based operators on image database. We study the properties of these operators and discuss query optimization issues. To demonstrate the use of our algebra, we implemented an extension of our prototype called EMIMS. Experimental evaluations on our proposed query optimization techniques used in EMIMS are presented here.