Speeding up Color-Based Retrieval in Multimedia Database Management Systems that Store Images as Sequences of Editing Operations
2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW) (2006)
Apr. 3, 2006 to Apr. 7, 2006
Leonard Brown , The University of Texas at Tyler
Le Gruenwald , The University of Oklahoma
Typically, multimedia database management systems process content-based image retrieval queries by extracting a set of features from each data object as it is inserted into the underlying database. By expressing queries that are based upon these features, users are able to retrieve the data objects back from the database. Previous research has demonstrated that one method of improving the effectiveness of similarity searches in such systems is to augment the underlying database with a set of edited images to allow more flexible matching. Space can be saved by storing the additional images as sequences of editing operations instead of as large binary objects. This paper proposes an approach for processing retrieval queries in such an environment and presents the results of a performance evaluation demonstrating the effectiveness of the approach.
Leonard Brown, Le Gruenwald, "Speeding up Color-Based Retrieval in Multimedia Database Management Systems that Store Images as Sequences of Editing Operations", 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW), vol. 00, no. , pp. 9, 2006, doi:10.1109/ICDEW.2006.138