Paper Info
Title
Modelling radial distortion chains for video recapture detection
Abstract
This paper presents a novel cue for automatic recapture detection of videos. The problem of recapture detection is important to the field of digital forensics as recapture is often an indicator of prior tampering activity. In this paper, we tackle the problem by considering the deformation underwent by geometric primitives, such as straight lines, when processed along recapture chains.We mathematically derive a general curve model for straight lines deformed after single capture under a radial distortion model. The model is then extended to the case of recapture, demonstrating how to automatically classify videos on a per-frame basis from its compliance with a low-order radial distortion model. Finally, we test our model with a practical detector to automatically extract deformed straight lines for classification, which is applied to synthetic sequences.
Year
DOI
Venue
2013
10.1109/MMSP.2013.6659324
Multimedia Signal Processing
Keywords
Field
DocType
object detection,video signal processing,automatic video recapture detection,deformed straight line extraction,digital forensic field,geometric primitives,low-order radial distortion model,radial distortion chain modeling,recapture chains,synthetic sequences
Distortion (optics),Object detection,Computer vision,Pattern recognition,Digital forensics,Computer science,Geometric primitive,Artificial intelligence,Detector
Conference
ISSN
Citations 
PageRank 
2163-3517
3
0.36
References 
Authors
15
2
Name
Order
Citations
PageRank
Marco Visentini Scarzanella111610.66
Dragotti, P.L.251239.29