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Color Content based Video Retrieval using Block Truncation Coding with Different Color Spaces

by Sudeep D. Thepade, Krishnasagar Subhedarpage, Ankur A. Mali, Tushar S. Vaidya
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 64 - Number 3
Year of Publication: 2013
Authors: Sudeep D. Thepade, Krishnasagar Subhedarpage, Ankur A. Mali, Tushar S. Vaidya
10.5120/10616-5334

Sudeep D. Thepade, Krishnasagar Subhedarpage, Ankur A. Mali, Tushar S. Vaidya . Color Content based Video Retrieval using Block Truncation Coding with Different Color Spaces. International Journal of Computer Applications. 64, 3 ( February 2013), 35-38. DOI=10.5120/10616-5334

@article{ 10.5120/10616-5334,
author = { Sudeep D. Thepade, Krishnasagar Subhedarpage, Ankur A. Mali, Tushar S. Vaidya },
title = { Color Content based Video Retrieval using Block Truncation Coding with Different Color Spaces },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 64 },
number = { 3 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 35-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume64/number3/10616-5334/ },
doi = { 10.5120/10616-5334 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:15:28.325150+05:30
%A Sudeep D. Thepade
%A Krishnasagar Subhedarpage
%A Ankur A. Mali
%A Tushar S. Vaidya
%T Color Content based Video Retrieval using Block Truncation Coding with Different Color Spaces
%J International Journal of Computer Applications
%@ 0975-8887
%V 64
%N 3
%P 35-38
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The volume of video data is increasing because of advanced technology in imaging communication. This tends to increase the popularity the videos. The conventional textual description which is based on text entered by user, so, suffers from user perception. Hence, content based video retrieval is more attractive than text based retrieval, as it gives result proximity to semantic view. Here, a novel colour content based video retrieval based on block truncation coding is proposed with the help of seven assorted colour spaces. Video database of 500 video samples spread across 10 categories is considered as a test bed for experimentation. Performance comparison is done with the help of cross-over point of average precision and average recall values of 500 query videos fired on the whole database. Experimental results have shown performance improvement for video retrieval in chromaticity-luminance colour spaces as compared conventional colour space (RGB). The best performance is observed by Block Truncation Coding withKekre's LUV colour space followed by YCbCr colour space.

References
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  3. Dr. H. B. Kekre, Sudeep D. Thepade, "Boosting Block Truncation Coding using Kekre's LUV Color Space for Image Retrieval", WASET International Journal of Electrical, Computer and System Engineering (IJECSE), Volume 2, Number 3, pp. 172-180, Summer 2008. Available online at http://www. waset. org/ijecse/v2/v2-3-23. pdf
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Index Terms

Computer Science
Information Sciences

Keywords

Content Based Video Retrieval (CBVR) Feature Extraction Color Spaces Block Truncation Coding (BTC)

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