Embedding method and extracting method of HEVC video steganography information

Abstract

The invention discloses an embedding method and an extracting method of HEVC video steganography information. During embedding, an HEVC video is used as a steganography carrier, and secret informationneeding to be embedded by a user is received; the secret information is distributed and processed by using a multi-secret sharing technology; and the carrier video is decoded, and steganography is performed on the distributed secret information by using an embedding method of controlling intra-frame distortion drift until all the information is completely embedded into the video. During extraction, carrier videos which may have partial data loss through network transmission and the like are acquired; the videos are decoded and the embedded secret information is extracted; and the extracted information is recovered by using a multi-secret sharing technology to obtain original secret information. The methods provided by the invention have relatively low redundancy and relatively good visualconcealment.

Description

technical field [0001] The invention belongs to the field of information technology, and more specifically, relates to an embedding method and an extraction method of HEVC video steganographic information. Background technique [0002] In order to realize the covert communication in the process of network video transmission, domestic and foreign researchers have proposed many steganographic algorithms using the network data stream (video, text, image, etc.) in the existing network for covert communication. These steganographic algorithms can be divided into two parts based on robust performance. The first part is mainly specific video steganographic algorithms that do not consider robust performance. to the impact of embedding performance and visual effects. When extracting, according to the embedding algorithm, the position suitable for the conditions is selected to extract the secret information. The second part is information hiding involving robustness, but the hidden ...

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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