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Qatris iManager: a general purpose CBIR system

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Abstract

Content-based image retrieval (CBIR) has drawn much interest from the research community over the past decade, as a good number of CBIR techniques, methods and systems have emerged, contributing new solutions to the issue of storing, managing and retrieving images, as database management systems do with structured data. There is undoubtedly a crucial need to characterize image content as well as subjectivity in the interpretation of this content (for which the community has coined the term “semantic gap”). In this paper the CBIR system developed by our research group, Qatris iManager, is described as a positive proposal to cope with chief issues in the field, especially the semantic gap, from a novel and original perspective. Based on color, texture and shape features, our system provides a broad range of useful operations to facilitate the storage, management, retrieval and browsing of large image collections. Local and remote image loading processes enable the population of image collections. Classification methods allow users to organize the collections according to their own interests. A multidimensional access method contributes to the efficiency in similarity searches. Parameterized similarity functions give flexibility to the search by content processes. Finally, the integrated automatic learning methods for classification and search processes teach the system about the user’s information needs. The proposed system is the result of a joint effort with different research tasks. This paper extensively describes all the system functionalities, techniques, processes and algorithms implemented.

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Notes

  1. http://gim.unex.es.

  2. For two square matrices of the same size, \({\mathbf {A}} \succeq {\mathbf {B}}\), denotes that \({\mathbf {A-B}}\) is positive semidefinite.

  3. http://en.wikipedia.org/wiki/List_of_CBIR_engines.

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Acknowledgments

This research was partially supported by the Spanish Government (Ministerio de Ciencia e Innovación and Junta de Extremadura) and the European Union (FEDER) via projects TIN2005-05939 TSI2007-66706-C04-03, TIN2008-06796-C04-03, PDT09A009 and TIN2008-03063).

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Authors and Affiliations

  1. Department of Computer Science, University of Extremadura, Avda. Universidad s/n, 10071, Cáceres, Spain

    M. Barrena, A. Caro, M. L. Durán, P. G. Rodríguez & T. Alonso

  2. Department of Mathematics, University of Extremadura, Avda. Universidad 47, 10071, Cáceres, Spain

    J. P. Arias-Nicolás

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  1. M. Barrena
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  2. A. Caro
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  3. M. L. Durán
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  4. P. G. Rodríguez
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  5. J. P. Arias-Nicolás
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  6. T. Alonso
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Correspondence to J. P. Arias-Nicolás.

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Barrena, M., Caro, A., Durán, M.L. et al. Qatris iManager: a general purpose CBIR system. Machine Vision and Applications 26, 423–442 (2015). https://doi.org/10.1007/s00138-015-0672-3

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