运动矢量隐写分析中的CSM: H.264视频编码中编码器对运动矢量的影响

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Pub Date : 2023-06-04 DOI:10.1109/ICASSP49357.2023.10096323

Verena Lachner, K. Schaar, Ralf Zimmermann

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引用次数: 0

摘要

掩体-源不匹配(CSM)一直被认为是基于机器学习的图像隐写分析的主要挑战。然而，关于CSM对基于运动矢量(MV)的视频隐写分析的影响知之甚少。由于处理管道末端因素产生的CSM特别明显，我们对H.264编码器对运动矢量的影响进行了研究。本文根据特定的MV统计量对一系列编码器的压缩操作输出进行了比较。我们确定了所有情况下编码员之间的差异，并指出为什么这是CSM的一个指标。这一结果为CSM在中频隐写分析中的更广泛研究铺平了道路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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 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.

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ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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