Welcome to the InfoSci Platform
Data Mining-Based CBIR System

Data Mining-Based CBIR System

Shruti Kohli, Vijay Shankar Gupta
Copyright: © 2016 |Pages: 18
ISBN13: 9781466688117|ISBN10: 1466688114|EISBN13: 9781466688124
DOI: 10.4018/978-1-4666-8811-7.ch012
Cite Chapter Cite Chapter

MLA

Kohli, Shruti, and Vijay Shankar Gupta. "Data Mining-Based CBIR System." Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes, edited by Wahiba Ben Abdessalem Karâa and Nilanjan Dey, IGI Global, 2016, pp. 244-261. https://doi.org/10.4018/978-1-4666-8811-7.ch012

APA

Kohli, S. & Gupta, V. S. (2016). Data Mining-Based CBIR System. In W. Karâa & N. Dey (Eds.), Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes (pp. 244-261). IGI Global. https://doi.org/10.4018/978-1-4666-8811-7.ch012

Chicago

Kohli, Shruti, and Vijay Shankar Gupta. "Data Mining-Based CBIR System." In Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes, edited by Wahiba Ben Abdessalem Karâa and Nilanjan Dey, 244-261. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-8811-7.ch012

Export Reference

Mendeley
Favorite

Abstract

Multimedia mining primarily involves information analysis and retrieval based on implicit knowledge. The ever increasing digital image databases on the internet has created a need for using multimedia mining on these databases for effective and efficient retrieval of images. Contents of an image can be expressed in different features such as Shape, Texture and Intensity-distribution (STI). Content Based Image Retrieval (CBIR) is the efficient retrieval of relevant images from large databases based on features extracted from the image. The emergence and proliferation of social network sites such as Facebook, Twitter and LinkedIn and other multimedia networks such as Flickr has further accelerated the need of efficient CBIR systems. Analyzing this huge amount of multimedia data to discover useful knowledge is a challenging task. Most of the existing systems either concentrate on a single representation of all features or linear combination of these features. The need of the day is New Image Mining techniques need to be explored and a self-adaptable CBIR system needs to be developed.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.