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Color Content based Image and Video Retrieval

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IJCA Proceedings on International Conference on Advances in Science and Technology
© 2015 by IJCA Journal
ICAST 2014 - Number 2
Year of Publication: 2015
Authors:
S. M. Chavan
A. N. Ghule
C. M. Gaikwad

S M Chavan, A N Ghule and C M Gaikwad. Article: Color Content based Image and Video Retrieval. IJCA Proceedings on International Conference on Advances in Science and Technology ICAST 2014(2):23-26, February 2015. Full text available. BibTeX

@article{key:article,
	author = {S. M. Chavan and A. N. Ghule and C. M. Gaikwad},
	title = {Article: Color Content based Image and Video Retrieval},
	journal = {IJCA Proceedings on International Conference on Advances in Science and Technology},
	year = {2015},
	volume = {ICAST 2014},
	number = {2},
	pages = {23-26},
	month = {February},
	note = {Full text available}
}

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.

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