CSM In Motion Vector Steganalysis: The Effect of Coders on Motion Vectors in H.264 Video Encoding

Cover-Source Mismatch (CSM) has long been recognized as a major challenge in machine-learning based image steganalysis. However, little is known about the impact of CSM on motion vector (MV) based video steganalysis. As CSM stemming from factors at the end of the processing pipeline is particularly...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) s. 1 - 5
Hlavní autori: Lachner, Verena, Schaar, Katharina, Zimmermann, Ralf
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 04.06.2023
Predmet:
Acoustics
compression
cover-source mismatch
H.264
Image recognition
Machine learning
motion vector
Pipelines
Signal processing
Speech coding
Speech processing
video
ISSN:2379-190X
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:Cover-Source Mismatch (CSM) has long been recognized as a major challenge in machine-learning based image steganalysis. However, little is known about the impact of CSM on motion vector (MV) based video steganalysis. As CSM stemming from factors at the end of the processing pipeline is particularly noticeable, we conduct a study on the impact of H.264 coders on motion vectors. This paper compares the outputs of compression operations of a range of coders according to specific MV statistics. We identify discrepancies between the coders in all cases and point out why this is an indicator for CSM. This result paves the way for more extensive research on CSM in MV steganalysis.
ISSN:2379-190X
DOI:10.1109/ICASSP49357.2023.10096323