Back to articles
Articles
Volume: 33 | Article ID: art00013
Image
Video Source Identification from MP4 Data Based on Field Values in Atom/Box Attributes
  DOI :  10.2352/ISSN.2470-1173.2021.4.MWSF-337  Published OnlineJanuary 2021
Abstract

Identifying the source of a video recording created by a camera or smartphone has been a common and challenging task in media forensics for many years. We present an approach for source identification on the very common MP4 file format. In extension to related works, we propose to consider the suitability of attribute field values and their respective order in the atom/box tree in a specific manner. The significance of a field attribute and its particular value for source identification will be reflected by means of up and down weighting during the training and the matching process. Experimental result indicate that our approach allows distinguishing major brands. Even device identification is possible for a subset of our training data.

Subject Areas :
Views 71
Downloads 9
 articleview.views 71
 articleview.downloads 9
  Cite this article 

Erik Gelbing, Leon Würsching, Sascha Zmudzinski, Martin Steinebach, "Video Source Identification from MP4 Data Based on Field Values in Atom/Box Attributesin Proc. IS&T Int’l. Symp. on Electronic Imaging: Media Watermarking, Security, and Forensics,  2021,  pp 337-1 - 337-7,  https://doi.org/10.2352/ISSN.2470-1173.2021.4.MWSF-337

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2021
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA