i-manager Publications

Fixed Content Based Image Retrieval Technique

Shaik Mohammed Ilias*, DINESH CHAUHAN**, SRINIVAS ESAPALLI***, VINEETH PADIGE****

* Professor, Department of Computer Science and Engineering, St. Peter’s Engineering College, Hyderabad, India.

**-**** Research Scholar, Department of Computer Science and Engineering, St. Peter’s Engineering College, Hyderabad, India.

Periodicity:September - November'2017
DOI : https://doi.org/10.26634/jcom.5.3.14017

Abstract

Different techniques are available for Image Retrieval and this paper provides Fixed Content Based Image Retrieval (FCBIR) based on Content-Based Image Retrieval (CBIR) technique. The authors’ aim is to highlight their proposed technique called Fixed Content Based Image Retrieval. The authors have provided some proof on how exact image is searched by using FCBIR technique.

Keywords

Image Retrieval, Intelligent Image Indexing, Image Data Store, Feature Extraction, Object Detection, Color Detection Interactive Genetic Algorithm, 2D Image Scanning, Fixed-Content-Based Image Retrieval

How to Cite this Article?

Ilias. S.M., Chauhan. D., Esapalli. S., and Padige. V. (2017). Fixed Content Based Image Retrieval Technique. i-manager’s Journal on Computer Science, 5(3), 54-59. https://doi.org/10.26634/jcom.5.3.14017

References

[1]. Alghamdi, R. A., Taileb, M., & Ameen, M. (2014, April). A new multimodal fusion method based on association rules mining for image retrieval. In Electrotechnical th Conference (MELECON), 2014 17 IEEE Mediterranean (pp. 493-499). IEEE.

[2]. Bonsor, K., & Johnson, R. (2001). How Facial Recognition Systems Work. In HowStuffWorks.com. Retrieved from https://electronics.howstuffworks.com/ gadgets/high-tech-gadgets/facial-recognition.htm

[3]. Brunelli, R. (2009). Template Matching Techniques in Computer Vision: Theory and Practice. John Wiley & Sons.

[4]. Chen, L., Xu, D., Tsang, I. W., & Luo, J. (2012). Tagbased image retrieval improved by augmented features and group-based refinement. IEEE Transactions on Multimedia, 14(4), 1057-1067

[5]. Crawford, M. (2011). Facial recognition progress report. In SPIE Newsroom. Retrieved from http://spie.org/ newsroom/facial-recognition?SSO=1

[6]. Juneja, K., Verma, A., Goel, S., & Goel, S. (2015, February). A survey on recent image indexing and retrieval techniques for low-level feature extraction in CBIR s y s t e m s . I n C o m p u t a t i o n a l I n t e l l i g e n c e & Communication Technology (CICT), 2015 IEEE International Conference on (pp. 67-72). IEEE.

[7]. Mukane, S. M., Gengaje, S. R., & Bormane, D. S. (2014). A novel scale and rotation invariant texture image retrieval method using fuzzy logic classifier. Computers & Electrical Engineering, 40(8), 154-162.

[8]. Mukhopadhyay, S., Dash, J. K., & Gupta, R. D. (2013). Content-based texture image retrieval using fuzzy class membership. Pattern Recognition Letters, 34(6), 646-654.

[9]. Pontin, M. W. (2007). Better Face-Recognition Software. In MIT Technology Review. Retrieved from http://www.technologyreview.com/Infotech/18796/?a=f

[10]. Sudhakar, M. S., & Bagan, K. B. (2014). An effective biomedical image retrieval framework in a fuzzy feature space employing Phase Congruency and GeoSOM. Applied Soft Computing, 22, 492-503.

[11]. Wankhede, V. A., & Mohod, P. S. (2015, April). Content-based image retrieval from videos using CBIR and ABIR algorithm. In Communication Technologies (GCCT), 2015 Global Conference on (pp. 767-771). IEEE.

[12]. Yan, P., & Khan, S. M. (n.d.). 3D Model based Object Class Detection in An Arbitrary View. Retrieved from http://vision.eecs.ucf.edu/projects/3D_Model_based_O bject_Detection/ObjectDetection.html

If you have access to this article please login to view the article or kindly login to purchase the article

Single Article

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Online	15	15

ADD TO CART

Options for accessing this content:

If you would like institutional access to this content, please recommend the title to your librarian.
If you already have i-manager's user account: Login above and proceed to purchase the article.
New Users: Please register, then proceed to purchase the article.