arXiv 2602.115472026-02eess.IVcs.MM

基于CU块结构梯度和IPM映射的H.265/HEVC视频隐写分析

H.265/HEVC Video Steganalysis Based on CU Block Structure Gradients and IPM Mapping

Nanjing University of Information Science and Technology（南京信息工程大学）；University of Macau（澳门大学）；Guangzhou University（广州大学）

Xiang Zhang, Haiyang Xia, Fan Wang, Ziwen He, Wenbin Huang, Fei Peng, Zhangjie Fu

阅读 PDF

arXiv 页面 ↗HTML 原文 ↗

AI总结：

本文提出基于CU块结构梯度和IPM映射的新型H.265/HEVC视频隐写分析方法，通过构建梯度图和IPM块级映射，联合建模由隐写术引入的结构扰动，实验表明在不同量化参数和分辨率下均能有效检测基于CU块结构的隐写术。

摘要：

现有H.265/HEVC视频隐写分析研究主要基于运动向量、内预测模式和变换系数检测隐写术。然而，目前尚无有效方法能基于编码单元（CU）块结构检测隐写术。为解决此问题，本文首次提出基于CU块结构梯度和内预测模式映射的H.265/HEVC视频隐写分析算法。该方法首先构建新的梯度图以显式描述CU块结构的变化，并结合块级IPM映射表示。它能够联合建模基于CU块结构的隐写术引入的结构扰动。然后，我们设计了一种名为GradIPMFormer的新型隐写分析网络，其核心创新是结合卷积局部嵌入与Transformer基于的标记建模的集成架构，以联合捕捉局部CU边界扰动和长程跨CU结构依赖性，从而有效提升对CU块结构嵌入的感知能力。实验结果表明，在不同量化参数和分辨率设置下，所提方法在多种基于CU块结构的隐写术上均能实现优越的检测性能。本研究为H.265/HEVC提供了新的CU块结构隐写分析范式，并对隐蔽通信安全检测具有重要研究价值。

英文摘要：

Existing H.265/HEVC video steganalysis research mainly focuses on detecting the steganography based on motion vectors, intra prediction modes, and transform coefficients. However, there is currently no effective steganalysis method capable of detecting steganography based on Coding Unit (CU) block structure. To address this issue, we propose, for the first time, a H.265/HEVC video steganalysis algorithm based on CU block structure gradients and intra prediction mode mapping. The proposed method first constructs a new gradient map to explicitly describe changes in CU block structure, and combines it with a block level mapping representation of IPM. It can jointly model the structural perturbations introduced by steganography based on CU block structure. Then, we design a novel steganalysis network called GradIPMFormer, whose core innovation is an integrated architecture that combines convolutional local embedding with Transformer-based token modeling to jointly capture local CU boundary perturbations and long-range cross-CU structural dependencies, thereby effectively enhancing the capability to perceive CU block structure embedding. Experimental results show that under different quantization parameters and resolution settings, the proposed method consistently achieves superior detection performance across multiple steganography methods based on CU block structure. This study provides a new CU block structure steganalysis paradigm for H.265/HEVC and has significant research value for covert communication security detection.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。