Paper Info
Title
Understanding geometric manipulations of images through bovw-based hashing
Abstract
The increasing use of low cost imaging devices and the innovations in terms of media distribution technologies induce a growing interest on technologies able to protect digital visual media against malicious manipulations of the visual contents. One of the main problems addressed in this research area is the blind detection of traces of forgery on an image obtained through the internet. Specifically, in this paper we consider the context of communications, where malicious image manipulations should be detected by a receiver. In the proposed method, an image hash based on the Bag of Visual Words paradigm is attached as signature to the image before trans mission. The forensic hash is then analyzed at destination to detect the geometric transformations which have been applied to the received image. This task is fundamental for further processing which usually assumes that the received image is aligned with the original one, as in the case of tampering detection systems. Experiments show that the proposed approach outperforms state-of-the art methods by obtaining a good margin in terms of performances.
Year
DOI
Venue
2011
10.1109/ICME.2011.6012160
ICME
Keywords
Field
DocType
geometric manipulation,malicious image manipulation,detection system,blind detection,image hash,malicious manipulation,digital visual media,media distribution technology,forensic hash,bag of visual words,internet,cryptography,geometric transformations,computational geometry
Computer vision,Object detection,Bag-of-words model in computer vision,Pattern recognition,Cryptography,Computer science,Computational geometry,Transformation geometry,Hash function,Artificial intelligence,Visual media,The Internet
Conference
ISSN
Citations 
PageRank 
1945-7871
4
0.52
References 
Authors
9
4
Name
Order
Citations
PageRank
S. Battiato1342.79
G. M. Farinella2251.35
E. Messina3392.30
Giovanni Puglisi438331.62