A kind of embedding method and extraction method of hevc video steganographic information

Abstract

The invention discloses an embedding method and extraction method of HEVC video steganographic information. When embedding: use HEVC video as a steganographic carrier, and receive the secret information that the user needs to embed; use multiple secret sharing technology to distribute processing operations for the secret information; decode the carrier video, and use the embedding method to control intra-frame distortion drift to distribute. steganography until all information is fully embedded in the video. When extracting: obtain the carrier video that may have some data loss through network transmission, etc.; decode the video and extract the embedded secret information; use the multi-secret sharing technology to restore the extracted information to obtain the original secret information. The present invention has less redundancy and better visual concealment.

Description

technical field [0001] The invention belongs to the field of information technology, and more particularly, relates to a method for embedding and extracting HEVC video steganographic information. Background technique [0002] In order to realize covert communication in the process of network video transmission, domestic and foreign researchers have proposed many steganographic algorithms for covert communication using network data streams (video, text, images, etc.) in the existing network. These steganography algorithms can be divided into two parts according to the robust performance. The first part is mainly the specific video steganography algorithm without considering the robust performance. Embedding performance and visual effects. When extracting, according to the embedding algorithm, select the location suitable for the conditions to extract the secret information. The second part is information hiding involving robustness, but the hidden carriers are usually image...

AI Technical Summary

Problems solved by technology

The carrier used by the latter is mainly image, text and audio, and it mainly focuses on the copyright protection of digital works. The purposes are also different. Digital watermarking is more important than whether the carrier can detect the embedded information. Robust video steganography requires the normal covert communication between the sending and receiving ends. Although the robustness research of the former has been developed. is very mature, but because it cannot be directly applied to video steganography, the robustness of video steganography still needs further research and development

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