Adaptive video motion vector steganographic method based on macro-block complexity

Abstract

The invention discloses an adaptive video motion vector steganographic method based on macro-block complexity. The method uses video motion vector to perform information hiding, and the imbedded process comprises one decompression process and two compression processes: first, a given carrier video is decompressed into an uncompressed YUV video; then, a first simulating compression process is carried out, complexity of each macro-block is recorded, and video sequence complexity distribution data is obtained; finally, a complexity threshold is selected according to the complexity distribution and the secret information quantity to be imbedded, and the second compression is carried out, wherein, plus / minus 1 matching imbedding is used when secret information is embedded; According to the method, high local optimum probability of low complexity macro-block and holding characteristic of plus / minus 1 matching imbedding to adjacent correlation are utilized; the secret-containing video generated by the imbedding algorithm has advantages such as low bit rate, high image quality, fast imbedding speed, and strong anti-detection capability.

Description

technical field [0001] The invention relates to the technical field of computer information security, in particular to a method for hiding information based on digital video motion vectors. Background technique [0002] With the rapid development of digital image information hiding and detection technology, information hiding technology based on digital video has also developed rapidly in recent years. In video steganography, steganography algorithms based on intra prediction, frequency domain and motion vector have appeared one after another. Among many steganography fields, the steganography algorithm based on motion vector has the characteristics of large hiding capacity and small picture distortion. Therefore, motion vector steganography has become a research hotspot in the field of video information hiding. [0003] In terms of concealment methods, the algorithm uses a variety of strategies to reduce the image distortion caused by steganography: for example, select th...

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Problems solved by technology

[0005] At present, the motion vector steganography algorithm pays more attention to the hidden invisibility, and there are three shortcomings: (1) less consideration is given to maintaining the correlation of motion vectors, and there is a low anti-detection ability for correlation-based detection features; (2) The optimal probability of the macroblock motion vector has a great influence, and it is easy to be detected by the detection method based on the local optimum; (3) The embedding algorithm is too complicated and not convenient for practical application

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