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Content based Image Retrieval

Published on August 2016 by Ayushi Tewari, Uzma Nikhatk, Sweta Malik
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National Seminar on Future Trends and Innovations in Computer Engineering
Foundation of Computer Science USA
NSFTICE2015 - Number 1
August 2016
Authors: Ayushi Tewari, Uzma Nikhatk, Sweta Malik
e2726b0f-a116-465f-a70f-be7c53176c71

Ayushi Tewari, Uzma Nikhatk, Sweta Malik . Content based Image Retrieval. National Seminar on Future Trends and Innovations in Computer Engineering. NSFTICE2015, 1 (August 2016), 13-16.

@article{
author = { Ayushi Tewari, Uzma Nikhatk, Sweta Malik },
title = { Content based Image Retrieval },
journal = { National Seminar on Future Trends and Innovations in Computer Engineering },
issue_date = { August 2016 },
volume = { NSFTICE2015 },
number = { 1 },
month = { August },
year = { 2016 },
issn = 0975-8887,
pages = { 13-16 },
numpages = 4,
url = { /proceedings/nsftice2015/number1/25609-1524/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Seminar on Future Trends and Innovations in Computer Engineering
%A Ayushi Tewari
%A Uzma Nikhatk
%A Sweta Malik
%T Content based Image Retrieval
%J National Seminar on Future Trends and Innovations in Computer Engineering
%@ 0975-8887
%V NSFTICE2015
%N 1
%P 13-16
%D 2016
%I International Journal of Computer Applications
Abstract

In Digital Image Processing there are many fields out of which Image retrieval is one of the most important area. There are many image search tools such as Google and Yahoo that provides keywords for each image. So it is important to type the keyword to get the desired image that is difficult and not satisfactory. In content based image retrieval system we extract the visual content of an image such as texture , color, shape , special layout to represent the image. . The main purposeof content based image retrieval is to extract all those images having similar features to that of query image from the database of images. To bridge the semantic gap thatexists between the representation of an image by low-level features (namely, colour, shape, texture) and its high-level semantic content as perceived by humans. This technology can be used in several application such as crime prevention , digital libraries , face detection , image fusion and many more.

References
  1. Remco C. Veltkamp and MirelaTanase ,Content Based Image Retrieval Systems: A Survey ,International Journal of Engineering Science and Technology, Vol. 20, No. 5, pp. 1-62, 2002.
  2. Dr. H. B. Kekre, Sudeep D. Thepade and AkshayMaloo ,Image Retrieval using Fractional Coefficients of Transformed Image using DCT and Walsh Transform , International Journal of Engineering Science and Technology. Vol. 2, No. 4, pp. 362-371, 2010.
  3. Gaurav Jaswal Amit Kaul, Content Based Image Retrieval, National Conference on Computing, Communication and Control, A Literature Review, National Institute of Technology, Hamirpur-177001, Himachal Pradesh (India).
  4. Sketch4Match – Content-based Image Retrieval System Using Sketches, B. Szanto, P. Pozsegovics, Z. Vamossy, Sz. Sergyan, january 2011
  5. A content based image retrieval system for marine life images Ahsan Raza Sheikh, Lye. M. H. , SarinaMansor, M. F. Ahmad Fauzi, FatahiyahMohdAnuar,AUGUST 2011
  6. Human Motion Retrieval from Hand-Drawn Sketch,Min-Wen Chao, Chao-Hung Lin, Member, IEEE, Jackie Assa, and Tong-Yee Lee, Senior Member, IEEE,MAY 2012 7. A Sketch-based 3D Model Retrieval System, Ke Ding and Yunhui Liu, Fellow, IEEE, NOVEMBER 2012
  7. SwapnaliniPattanaik, Prof. D. G. Bhalke ,Beginners to Content Based Image Retrieval ,InternationalJournal of Scientific Research Engineering Technology (IJSRET),Volume 1 Issue2 pp 040-044 May 2012
Index Terms

Computer Science
Information Sciences

Keywords

Image Retrieval K-mean Canny Edge sbir cbir