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Reseach Article

Color Content based Image and Video Retrieval

Published on February 2015 by S. M. Chavan, A. N. Ghule, C. M. Gaikwad
International Conference on Advances in Science and Technology
Foundation of Computer Science USA
ICAST2014 - Number 2
February 2015
Authors: S. M. Chavan, A. N. Ghule, C. M. Gaikwad
35a572ec-e424-4a44-98cd-634fd1db8b46

S. M. Chavan, A. N. Ghule, C. M. Gaikwad . Color Content based Image and Video Retrieval. International Conference on Advances in Science and Technology. ICAST2014, 2 (February 2015), 23-26.

@article{
author = { S. M. Chavan, A. N. Ghule, C. M. Gaikwad },
title = { Color Content based Image and Video Retrieval },
journal = { International Conference on Advances in Science and Technology },
issue_date = { February 2015 },
volume = { ICAST2014 },
number = { 2 },
month = { February },
year = { 2015 },
issn = 0975-8887,
pages = { 23-26 },
numpages = 4,
url = { /proceedings/icast2014/number2/19479-5025/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Science and Technology
%A S. M. Chavan
%A A. N. Ghule
%A C. M. Gaikwad
%T Color Content based Image and Video Retrieval
%J International Conference on Advances in Science and Technology
%@ 0975-8887
%V ICAST2014
%N 2
%P 23-26
%D 2015
%I International Journal of Computer Applications
Abstract

At the present time content-based image and video retrieval is a rising technology. There are considerable challenges involved in the adaptation of image database and video database for the effective retrieval procedure. We can suggest a techniques using video and image retrieval that can be useful in the real world. Retrieval of information according to the user's requirement is the need today. Content based video retrieval system, works as user to retrieve a video within a potentially large created database of images and videos. Content-based video retrieval systems are less common than image retrieval systems and also an upcoming research area. Features like texture, color and shape are considered for retrieval. The main advantage of the system is it compares image database to retrieve the required video, each feature of the video, and the performance is analyzed. Content based video retrieval has applications in different areas such as news, advertizing, video archive, education system and medical sciences etc.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Color Features Euclidean Distance Feature Extraction Retrieval Techniques.