CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

An Improvement of Forgery Video Detection Technique using Error Level Analysis

by Hitesh C Patel, Mohit M Patel
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 111 - Number 15
Year of Publication: 2015
Authors: Hitesh C Patel, Mohit M Patel
10.5120/19615-1508

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 },
issue_date = { February 2015 },
volume = { 111 },
number = { 15 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 26-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume111/number15/19615-1508/ },
doi = { 10.5120/19615-1508 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:47:59.212757+05:30
%A Hitesh C Patel
%A Mohit M Patel
%T An Improvement of Forgery Video Detection Technique using Error Level Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 111
%N 15
%P 26-28
%D 2015
%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.

References
  1. Govindraj B. Chittapur, S. Murali, H. S. Prabhakara and Basavaraj S. Anami "Exposing Digital Forgery in video by mean frame comparison techniques" Springer India 2014.
  2. Murali S, Anami B S, Chittapur GB "Detection of photo-forgery detection techniques" Int J Mach In tell. ISSN: 09752927 EISSN: 09759166: 2012.
  3. Stamm MC, Ray Liu KJ "Anti-forensics for frame deletion/addition in MPEG video" IEEE international conference on acoustics, speech and signal processing, 2012.
  4. Murali S. Anami B S, Chittapur G. B. "Digital Photo Image Forgery Techniques" International Journal Of Machine Intelligence ISSN: 0975-2927&E-ISSN: 0975-9166:2012.
  5. Xu J et al "Detection of blue screen special effects in videos" Phys Procedia, 33:1316–1322, 2012.
  6. Murali S, Chittapur GB, Anami BS "Detection Of digital photo image forgery" IEEE international conference on advanced communication and control technology. ICACCCT. 2012.
  7. V. Conotter, G. Boato and H. Farid "Detecting Photo Manipulation on Signs and Billboards" International Conference on Image Processing, Hong Kong, 2010.
  8. W. Wang and H. Farid "Exposing Digital Forgeries in Video by Detecting Double Quantization" ACM Multimedia and Security Workshop, Princeton, NJ, 2009.
  9. Chih-Chung Hsu, Tzu-Yi Hung, Chia-Wen Lin and Chiou-Ting Hsu "Video Forgery detection using correlation of noise residue" Department of Electrical Engineering Tiwan, 2009.
  10. Alan C Bovik, Handbook of "Image and video processing", Access Online via Elsevier, 2008.
Index Terms

Computer Science
Information Sciences

Keywords

Digital photo image video analysis image forgery/doctored images image tag analysis.

Powered by PhDFocusTM