Video Steganalysis in the Transform Domain Based on Morphological Structure of the Motion Vector Maps

Ismahane Cheheb, Abdellatif Zouak, Ahmed Bouridane, Yves Michels, Salah Bourennane

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Steganography is the art of transmitting hidden messages through a cover object without raising any suspicion. In contrast, steganalysis is the science of detecting the presence of hidden information and a significant amount of research has been focused on multimedia steganalysis. In this paper, a video steganalysis method is proposed to detect the presence of hidden data by analysing the structure of the motion vectors in the compressed video data. The proposed method is based on the classification of features extracted from the morphology of the motion vector map. The proposed method has been evaluated on a large dataset of short videos with variable resolution and quality and the results suggest the effectiveness of the proposed modelling scheme.

Original languageEnglish
Title of host publicationProceedings of the 2021 9th European Workshop on Visual Information Processing, EUVIP 2021
EditorsA. Beghdadi, F. Alaya Cheikh, J.M.R.S. Tavares, A. Mokraoui, G. Valenzise, L. Oudre, M.A. Qureshi
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665432306
DOIs
Publication statusPublished - 23 Jun 2021
Event9th European Workshop on Visual Information Processing, EUVIP 2021 - Paris, France
Duration: 23 Jun 202125 Jun 2021

Publication series

NameProceedings - European Workshop on Visual Information Processing, EUVIP
Volume2021-June
ISSN (Print)2471-8963

Conference

Conference9th European Workshop on Visual Information Processing, EUVIP 2021
Country/TerritoryFrance
CityParis
Period23/06/2125/06/21

Keywords

  • H.264
  • motion vector
  • MPEG-4
  • SVM
  • Video steganalysis

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