A Complementary Review on Various Content Based Image Retrieval System Techniques

Authors

  • Dr. M Ekambaram Naidu  Professor, Department, CSE, SRK Institute of Technology, Vijayawada, Andhra Pradesh, India
  • Ravi Kumar Chandu  Research Scholar, Rayalaseema University, Kurnool, Andhra Pradesh, India

Keywords:

Content-Based Image Retrieval, Image Database, Image Descriptors, Indexing, Query Specification, Query Visualization, Effectiveness Measures, Colour, Texture, Shape, Semantic Retrieval, Relevance Feedback

Abstract

In digital image processing finding or searching, an image in huge database of digital images is big task for designing more efficient image and shape matching Algorithm. In data storage and image acquisition technologies, we have to enable the creation of large image datasets. In this type, it is necessary to develop appropriate information systems to efficiently manage these collections. The common approaches use the so-called Content-Based Image Retrieval (CBIR) systems. These systems try to retrieve images similar to a user-defined specification or pattern (e.g., shape sketch, image example). In this paper, we see the different type’s techniques of content based image retrieval for different application purpose.

References

  1. Content-based Multimedia Information Retrieval: State of the Art and Challenges (Original source, 404'd) Content-based Multimedia Information Retrieval: State of the Art and Challenges, Michael Lew, et al., ACM Transactions on Multimedia Computing, Communications, and Applications, pp. 1–19, 2006.     
  2. Eakins, John; Graham, Margaret. "Content-based Image Retrieval". University of Northumbria at Newcastle. Retrieved 2014-03-10.
  3. Rui, Yong; Huang, Thomas S.; Chang, Shih-Fu(1999). "Image Retrieval: Current Techniques, Promising Directions, and Open Issues". Journal of Visual Communication and Image Representation. 10: 39–62. doi:10.1006/jvci.1999.0413. Retrieved 2July 2016.
  4. Shapiro, Linda; George Stockman (2001). ComputerVision. Upper Saddle River, NJ: Prentice Hall. ISBN 0-13-030796-3.
  5. Datta, Ritendra; Dhiraj Joshi; Jia Li; James Z. Wang (2008). "Image Retrieval: Ideas, Influences, and Trends of the New Age". ACM Computing Surveys. 40 (2): 1–60. doi:10.1145/1348246.1348248

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-06-30

Issue

Volume 2, Issue 3, May-June-2017

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dr. M Ekambaram Naidu, Ravi Kumar Chandu, " A Complementary Review on Various Content Based Image Retrieval System Techniques" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 3, pp.938-942, May-June-2017.