Research Article
An Improvement of Forgery Video Detection Technique using Error Level Analysis
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 111 - Issue 15 |
| Published: February 2015 |
| Authors: Hitesh C Patel, Mohit M Patel |
10.5120/19615-1508
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Hitesh C Patel, Mohit M Patel . An Improvement of Forgery Video Detection Technique using Error Level Analysis. International Journal of Computer Applications. 111, 15 (February 2015), 26-28. DOI=10.5120/19615-1508
@article{ 10.5120/19615-1508,
author = { Hitesh C Patel,Mohit M Patel },
title = { An Improvement of Forgery Video Detection Technique using Error Level Analysis },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 111 },
number = { 15 },
pages = { 26-28 },
doi = { 10.5120/19615-1508 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Hitesh C Patel
%A Mohit M Patel
%T An Improvement of Forgery Video Detection Technique using Error Level Analysis%T
%J International Journal of Computer Applications
%V 111
%N 15
%P 26-28
%R 10.5120/19615-1508
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Nowadays, videos are core part of live entertainment in television and movies, and they are breathing of real entertainment world. People believe movies and video snaps in everywhere of digital media. Digital Photo images are everywhere: on the covers of magazines, in newspapers, in courtrooms, and all over the Internet. We are exposed to them throughout the day and most of the time, we trust what we see. Trusting unbelievable video may create sensation over the news and gossip media world. The identified telecasted and forecasted video's truthfulness is challenging in multimedia. We propose methodologies to identify the forgery region frames from given input video by using EXIF image tag information.
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