Using similarity analysis to detect frame duplication forgery in videos
- 20 November 2014
- journal article
- Published by Springer Science and Business Media LLC in Multimedia Tools and Applications
- Vol. 75 (4), 1793-1811
- https://doi.org/10.1007/s11042-014-2374-7
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Detecting Removed Object from Video with Stationary BackgroundLecture Notes in Computer Science, 2013
- An overview on video forensicsAPSIPA Transactions on Signal and Information Processing, 2012
- DETECTION OF FRAME DUPLICATION FORGERY IN VIDEOS BASED ON SPATIAL AND TEMPORAL ANALYSISInternational Journal of Pattern Recognition and Artificial Intelligence, 2012
- Forgery Detection for Surveillance VideoPublished by Springer Science and Business Media LLC ,2012
- Exposing digital forgeries in video by detecting double quantizationPublished by Association for Computing Machinery (ACM) ,2009
- Detecting Video Forgeries Based on Noise CharacteristicsLecture Notes in Computer Science, 2009
- Overview of State-of-the-Art in Digital Image ForensicsPublished by World Scientific Pub Co Pte Ltd ,2008
- Exposing digital forgeries in video by detecting duplicationPublished by Association for Computing Machinery (ACM) ,2007
- Exposing digital forgeries in video by detecting double MPEG compressionPublished by Association for Computing Machinery (ACM) ,2006
- Image Quality Assessment: From Error Visibility to Structural SimilarityIEEE Transactions on Image Processing, 2004