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A new approach for image databases design

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Abstract

This paper focuses on the methodologies to organize and structure image databases. Conventional relational database techniques are optimized to deal with textual and numeric data; however, they are not effective to handle image data. Some progresses have been made in developing new approaches to establish and use image databases, but the applications of these approaches are very labor-intensive, error-prone, and impractical to large-scale databases. In this paper, we propose a new approach to develop the structure of a large-scale image automatically. It is an integrated approach from existing technologies for the new application where the management of image data is focused. In addition, we present a solution to data indexing for the image database with different image types.

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Acknowledgments

The authors would like to thanks the Springer Journal Editorial office, senior editor and the anonymous reviewers for constructive feedback. Also, we would like to thanks Dr. Bulyshev for his valuable recommendations on image processing.

Author information

Authors and Affiliations

  1. Information Technology and Decision Sciences Department, Old Dominion University, Norfolk, VA, 23529, USA

    L. Bulysheva

  2. School of Engineering and Computational Sciences, Liberty University, Lynchburg, VA, 24515, USA

    J. Jones

  3. Department of Engineering, Indiana University-Purdue University Fort Wayne, Fort Wayne, IN, 46818, USA

    Z. Bi

Authors
  1. L. Bulysheva

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  2. J. Jones

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  3. Z. Bi

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Corresponding author

Correspondence toL. Bulysheva.

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