Detection and localization of inter-frame video forgeries based on inconsistency in correlation distribution between Haralick coded frames
Authors:
- 27 August 2018
- journal article
- research article
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 78 (4) , 4905-4935
Abstract
No abstract availableKeywords
Funding Information
- Board of Research in Nuclear Sciences (34/20/22/2016-BRNS/34363)
This publication has 25 references indexed in Scilit:
- Digital video tampering detection: An overview of passive techniquesDigital Investigation, 2016
- Exposing video inter-frame forgery by Zernike opponent chromaticity moments and coarseness analysisMultimedia Systems, 2015
- Efficient video frame insertion and deletion detection based on inconsistency of correlations between local binary pattern coded framesSecurity and Communication Networks, 2014
- Detection of frame deletion for digital video forensicsDigital Investigation, 2013
- A Novel Video Inter-frame Forgery Model Detection Scheme Based on Optical Flow Consistency2013
- A frame tampering detection algorithm for MPEG videos2011
- Image Retrieval using Texture Features extracted from GLCM, LBG and KPEInternational Journal of Computer Theory and Engineering, 2010
- MPEG recompression detection based on block artifacts2008
- Optimisation of building detection in satellite images by combining multispectral classification and texture filteringISPRS Journal of Photogrammetry and Remote Sensing, 1999
- Moment-based texture segmentationPattern Recognition Letters, 1994