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Issues in augmenting image databases to improve processing content-based similarity searches

Published: 13 March 2005 Publication History

Abstract

Many current multimedia database management systems perform content-based retrieval of images by extracting a set of features from each data object inserted into the underlying database. This allows users to search the database for images that are similar to an input query image where the similarity is determined by comparing the previously extracted features. Thus, the ability of the system to compare images depends upon the features it can extract from them. This also means that the system may fail to correctly match one of its stored images to the query image if their corresponding features do not sufficiently match. One approach to minimize the occurrences of these situations is to add modified versions of the stored image to the database and attempt to match the query image to any one of them. This paper discusses the advantages and applicability of this approach.

References

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Speegle, G. et al., Extending Databases to Support Image Editing, Proc. IEEE Intl. Conf. on Multimedia and Expo, Aug. 2000.
[2]
Wallace, G., The JPEG Still Picture Compression Standard, Comm. of the ACM, 34(4), Apr. 1991, pp. 30--44.
[3]
Brown, L. and L. Gruenwald, Performing Color-Based Similarity Searches in Multimedia Database Management Systems Augmented with Derived Images, Proc. 21st British Natl. Conf. on Databases, Jul. 2004, pp. 178--189.
[4]
Brown, L., L. Gruenwald, and G. Speegle, Testing a Set of Image Processing Operations for Completeness, Proc. 2nd Intl. Conf. on Multimedia Info Sys, Apr. 1997, pp. 127--134.
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Gupta, A., and R. Jain, Visual Information Retrieval, Comm. of the ACM, 40(5), May 1997, pp. 71--79.

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  • (2006)Speeding up Color-Based Retrieval in Multimedia Database Management Systems that Store Images as Sequences of Editing OperationsProceedings of the 22nd International Conference on Data Engineering Workshops10.1109/ICDEW.2006.138Online publication date: 3-Apr-2006

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  1. Issues in augmenting image databases to improve processing content-based similarity searches

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      cover image ACM Conferences
      SAC '05: Proceedings of the 2005 ACM symposium on Applied computing
      March 2005
      1814 pages
      ISBN:1581139640
      DOI:10.1145/1066677
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      Publication History

      Published: 13 March 2005

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      Author Tags

      1. content-based search
      2. query processing
      3. similarity search

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      SAC05: The 2005 ACM Symposium on Applied Computing
      March 13 - 17, 2005
      New Mexico, Santa Fe

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      Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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      • (2006)Speeding up Color-Based Retrieval in Multimedia Database Management Systems that Store Images as Sequences of Editing OperationsProceedings of the 22nd International Conference on Data Engineering Workshops10.1109/ICDEW.2006.138Online publication date: 3-Apr-2006

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