視頻隱藏分析關(guān)鍵技術(shù)研究
[Abstract]:As an effective means of large capacity information secret communication, video information hiding technology has attracted people's attention. In order to detect the harmful hidden communication behavior with video as the carrier, video hiding analysis has important research value and application prospect. In this paper, the hiding analysis technology based on digital video is studied, and the corresponding detection algorithm is proposed for various scope hiding algorithms. Combining domain adaptation with general hidden detection, its applicability in solving mismatch of carrier distribution is analyzed. The main work and innovations of this paper are as follows: 1. In the analysis of compressed video spatial domain hiding, a SPEAM statistical feature combining temporal correlation with spatial domain correlation is proposed to detect spatial spread spectrum hiding of compressed video. In the aspect of hiding detection performance of uncompressed video, this feature is comparable to that of image hiding analysis which only considers spatial correlation, and is superior to the existing video hiding analysis feature. However, in the detection performance of compressed video, this feature is superior to the existing features of video hiding analysis and image hiding analysis, and has lower computational complexity. 2. Aiming at the shortcomings of the existing motion vector hiding detection methods, such as poor detection performance and being unable to adapt to various video coding formats, or because the recompression parameters are different from the original coding parameters, The AoSO feature based on the local optimal assumption of motion vector is proposed. This feature is obviously superior to the existing two kinds of features in detection performance, and has a wide range of applications. It has good detection performance under various complex video coding conditions. 3. In H.264 intra prediction mode hiding analysis, Based on the H264 video compression coding standard, an intra prediction mode calibration mechanism with SATD coding cost and its corresponding CIPM hidden detection features are proposed. This feature is obviously superior to the existing features in the performance of hiding detection, and its computational complexity is relatively low. 4. In order to improve the performance of the hidden analysis algorithm under the mismatch condition of carrier distribution, the proposed algorithm mismatches the hidden algorithm. The feature migration algorithm (TCA) in domain adaptation is studied, and the TCA algorithm is used to solve the problem of motion vector hiding under the condition of mismatch. Finally, it is verified by experiments that it may bring about the improvement of the performance of hidden detection under mismatch conditions, and the applicability of adaptive algorithms in TCA and other fields is discussed in combination with the problems encountered in the experiments. It also points out the limitation of domain adaptation algorithm in the application of hiding detection. 5. In the aspect of hiding analysis of video spatial hiding software MSU StegoVideo. Aiming at the problem that the existing hidden analysis methods only consider the detection of hidden information and the detection performance is not satisfactory, three fingerprint features hidden by MSU StegoVideo are analyzed, including the special color space conversion formula. The chessboard mask pattern and embedding intensity control mechanism are discussed. An uncompressed video hiding detection and parameter estimation method based on MSU StegoVideo fingerprint is proposed, which is called MP algorithm. The algorithm is much better than the existing algorithm in detection performance, and can estimate the hidden parameter "noise level" and the hidden information sequence. 6. In the aspect of hiding analysis of format hiding software OpenPuff, the MPEG,VOB, FLV, supported by the software can be analyzed. Based on the video container standard of MP4,3GP and the corresponding video container standard, the paper puts forward the corresponding hidden analysis method by analyzing the file difference caused by hiding operation, which can achieve high precision blind detection and partial hidden information extraction.
【學(xué)位授予單位】:解放軍信息工程大學(xué)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2014
【分類號(hào)】:TN919.81
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