Abstract
Relational databases are used to store information in every kind of life and business. They are suited for storing structured data and binary large objects (BLOBs). Unfortunately, BLOBs and multimedia data are difficult to handle, index, query and retrieve. Usually, relational database management systems are not equipped with tools to retrieve multimedia by their content.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Araujo, M.R., Traina, A.J., Traina C., Jr.: Extending SQL to support image content-based retrieval. In: ISDB, pp. 19–24 (2002)
Bradski, G.: The opencv library. Dr. Dobbs J. 25(11), 120–126 (2000)
Chaudhuri, S., Narasayya, V.R.: An efficient, cost-driven index selection tool for microsoft SQL server. VLDB 97, 146–155 (1997)
Dubois, D., Prade, H., Sedes, F.: Fuzzy logic techniques in multimedia database querying: a preliminary investigation of the potentials. IEEE Trans. Knowl. Data Eng. 13(3), 383–392 (2001). https://doi.org/10.1109/69.929896
Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The pascal visual object classes (VOC) challenge. Int. J. Comput. Vis. 88(2), 303–338 (2010)
Fielding, R.T.: Architectural styles and the design of network-based software architectures. Ph.D. thesis, University of California, Irvine (2000)
Grauman, K., Darrell, T.: Efficient image matching with distributions of local invariant features. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005. CVPR 2005, vol. 2, pp. 627–634 (2005). https://doi.org/10.1109/CVPR.2005.138
Kacprzyk, J., Zadrozny, S.: Fuzzy queries in microsoft access v. 2. In: Proceedings of the FUZZ-IEEE/IFES’95 Workshop on Fuzzy Database Systems and Information Retrieval (1995)
Kacprzyk, J., Zadrozny, S.: On combining intelligent querying and data mining using fuzzy logic concepts. In: Recent Issues on Fuzzy Databases, pp. 67–81. Springer (2000)
Korytkowski, M.: Novel visual information indexing in relational databases. Integr. Comput. Aided Eng. 24(2), 119–128 (2017)
Korytkowski, M., Rutkowski, L., Scherer, R.: Fast image classification by boosting fuzzy classifiers. Inf. Sci. 327, 175–182 (2016). https://doi.org/10.1016/j.ins.2015.08.030. http://www.sciencedirect.com/science/article/pii/S0020025515006180
Korytkowski, M., Scherer, R., Staszewski, P., Woldan, P.: Bag-of-features image indexing and classification in microsoft sql server relational database. In: 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF), pp. 478–482 (2015). https://doi.org/10.1109/CYBConf.2015.7175981
Larson, P.Å., Clinciu, C., Hanson, E.N., Oks, A., Price, S.L., Rangarajan, S., Surna, A., Zhou, Q.: SQL server column store indexes. In: Proceedings of the 2011 ACM SIGMOD International Conference on Management of Data, pp. 1177–1184. ACM (2011)
Liu, J.: Image retrieval based on bag-of-words model (2013). arXiv:1304.5168
Liu, Y., Zhang, D., Lu, G., Ma, W.Y.: A survey of content-based image retrieval with high-level semantics. Pattern Recognit. 40(1), 262–282 (2007)
Meskaldji, K., Boucherkha, S., Chikhi, S.: Color quantization and its impact on color histogram based image retrieval accuracy. In: First International Conference on Networked Digital Technologies, 2009. NDT’09, pp. 515–517 (2009). https://doi.org/10.1109/NDT.2009.5272135
Müller, H., Geissbuhler, A., Marchand-Maillet, S.: Extensions to the multimedia retrieval markup language–a communication protocol for content–based image retrieval. In: European Conference on Content-based Multimedia Indexing (CBMI03). Citeseer (2003)
Ogle, V.E., Stonebraker, M.: Chabot: retrieval from a relational database of images. Computer 9, 40–48 (1995)
Pein, R.P., Lu, J., Renz, W.: An extensible query language for content based image retrieval based on Lucene. In: 8th IEEE International Conference on Computer and Information Technology, 2008. CIT 2008, pp. 179–184. IEEE (2008)
Philbin, J., Chum, O., Isard, M., Sivic, J., Zisserman, A.: Object retrieval with large vocabularies and fast spatial matching. In: IEEE Conference on Computer Vision and Pattern Recognition, 2007. CVPR’07, pp. 1–8 (2007)
Rivest, R.: The MD5 Message-Digest Algorithm. RFC Editor, United States (1992)
Rutkowski, L.: Computational Intelligence Methods and Techniques. Springer, Berlin (2008)
Scherer, R.: Multiple Fuzzy Classification Systems. Springer (2012)
Sivic, J., Zisserman, A.: Video google: a text retrieval approach to object matching in videos. In: Proceedings of the Ninth IEEE International Conference on Computer Vision, 2003, vol. 2, pp. 1470–1477 (2003)
Srinivasan, J., De Fazio, S., Nori, A., Das, S., Freiwald, C., Banerjee, J.: Index with entries that store the key of a row and all non-key values of the row (2000). US Patent 6,128,610
Staszewski, P., Woldan, P., Korytkowski, M., Scherer, R., Wang, L.: Artificial Intelligence and Soft Computing: 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12–16, (2016) (Proceedings, Part II, chap. Query-by-Example Image Retrieval in Microsoft SQL Server, pp. 746–754. Springer International Publishing, Cham, 2016)
Tieu, K., Viola, P.: Boosting image retrieval. Int. J. Comput. Vision 56(1–2), 17–36 (2004)
Vagač, M., Melicherčík, M.: Improving image processing performance using database user-defined functions. In: International Conference on Artificial Intelligence and Soft Computing, pp. 789–799. Springer (2015)
Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2001. CVPR 2001, vol. 1, pp. I–511–I–518 (2001)
Voloshynovskiy, S., Diephuis, M., Kostadinov, D., Farhadzadeh, F., Holotyak, T.: On accuracy, robustness, and security of bag-of-word search systems. In: IS&T/SPIE Electronic Imaging, pp. 902, 807–902, 807. International Society for Optics and Photonics (2014)
Zhang, J., Marszalek, M., Lazebnik, S., Schmid, C.: Local features and kernels for classification of texture and object categories: a comprehensive study. In: Conference on Computer Vision and Pattern Recognition Workshop, 2006. CVPRW’06, pp. 13–13 (2006). https://doi.org/10.1109/CVPRW.2006.121
Zhang, W., Yu, B., Zelinsky, G.J., Samaras, D.: Object class recognition using multiple layer boosting with heterogeneous features. In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), vol. 2, pp. 323–330 (2005). https://doi.org/10.1109/CVPR.2005.251
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Scherer, R. (2020). Image Retrieval and Classification in Relational Databases. In: Computer Vision Methods for Fast Image Classification and Retrieval. Studies in Computational Intelligence, vol 821. Springer, Cham. https://doi.org/10.1007/978-3-030-12195-2_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-12195-2_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-12194-5
Online ISBN: 978-3-030-12195-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)