Video steganalysis in the transform domain based on morphological structure of the motion vector maps

Cheheb, I ORCID: https://orcid.org/0000-0002-0961-0476, Zouak, A, Bouridane, A, Michels, Y and Bourennane, S, 2021. Video steganalysis in the transform domain based on morphological structure of the motion vector maps. In: Beghdadi, A, Alaya Cheikh, F, Tavares, JMRS, Mokraoui, A, Valenzise, G, Oudre, L and Qureshi, MA, eds., Proceedings of the 9th European Workshop on Visual Information Processing (EUVIP). Institute of Electrical and Electronics Engineers (IEEE). ISBN 9781665432306

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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.

Item Type:	Chapter in book
Description:	Paper presented at the 2021 9th European Workshop on Visual Information Processing (EUVIP), Paris, France [virtual], 23-25 June 2021.
Creators:	Cheheb, I., Zouak, A., Bouridane, A., Michels, Y. and Bourennane, S.
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Date:	23 June 2021
ISBN:	9781665432306
Identifiers:	Number Type 10.1109/euvip50544.2021.9484051 DOI 1534908 Other
Divisions:	Schools > School of Science and Technology
Record created by:	Linda Sullivan
Date Added:	12 Apr 2022 12:53
Last Modified:	23 Jun 2023 03:00
URI:	https://irep.ntu.ac.uk/id/eprint/46112

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