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Reseach Article

Comparison of Color Feature Extraction Methods in Content based Video Retrieval

Published on February 2013 by Meenakshi A. Thalor, S. T. Patil
International Conference on Recent Trends in Information Technology and Computer Science 2012
Foundation of Computer Science USA
ICRTITCS2012 - Number 5
February 2013
Authors: Meenakshi A. Thalor, S. T. Patil
1294293a-0bac-4e2a-9314-d8cff5833ec0

Meenakshi A. Thalor, S. T. Patil . Comparison of Color Feature Extraction Methods in Content based Video Retrieval. International Conference on Recent Trends in Information Technology and Computer Science 2012. ICRTITCS2012, 5 (February 2013), 10-14.

@article{
author = { Meenakshi A. Thalor, S. T. Patil },
title = { Comparison of Color Feature Extraction Methods in Content based Video Retrieval },
journal = { International Conference on Recent Trends in Information Technology and Computer Science 2012 },
issue_date = { February 2013 },
volume = { ICRTITCS2012 },
number = { 5 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 10-14 },
numpages = 5,
url = { /proceedings/icrtitcs2012/number5/10277-1377/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Trends in Information Technology and Computer Science 2012
%A Meenakshi A. Thalor
%A S. T. Patil
%T Comparison of Color Feature Extraction Methods in Content based Video Retrieval
%J International Conference on Recent Trends in Information Technology and Computer Science 2012
%@ 0975-8887
%V ICRTITCS2012
%N 5
%P 10-14
%D 2013
%I International Journal of Computer Applications
Abstract

As large amount of visual information is available on web in form of images, graphics, animations and videos, so it is important in internet era to have an effective content based video retrieval system. Content based video retrieval uses query by video clip approach which is a good alternative because the users could not always say clearly what they want. As there are number of video search engine (Goggle, YouTube) which search for relevant videos based on user "keyword" or "term". But very less commercial video search engine are available which search videos based on visual image/clip/video. That's why here we have implemented a system that is searching for relevant video based on color feature in response of user query (visual clip/video).

References
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Index Terms

Computer Science
Information Sciences

Keywords

Video Segmentation Key Feature Extraction And Color Feature Extraction