Supercharge Your Innovation With Domain-Expert AI Agents!

Video Steganalysis Method Based on Intra Prediction Mode Calibration

An intra-frame prediction mode and video steganography technology, applied in the field of steganalysis, can solve problems such as unsatisfactory performance and inability to effectively detect video steganography algorithms, and achieve improved detection performance, consistency, and flexibility. Effect

Inactive Publication Date: 2019-05-17
INST OF INFORMATION ENG CHINESE ACAD OF SCI
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the steganographic algorithm based on the intra prediction mode, some scholars have designed a steganalysis method based on the Markov chain, but the assumption of this method is too ideal, the performance in practical application is not ideal, and it cannot effectively detect the Video Steganography Algorithm for Intra Prediction Mode

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Video Steganalysis Method Based on Intra Prediction Mode Calibration
  • Video Steganalysis Method Based on Intra Prediction Mode Calibration
  • Video Steganalysis Method Based on Intra Prediction Mode Calibration

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] The following is attached Figure 3-6 The specific implementation manner of the present invention is further described.

[0022] The video steganalysis method based on intra-frame prediction mode calibration provided by the embodiment of the present invention includes three major steps: intra-frame prediction mode calibration, IPMC feature calculation, and support vector machine learning and classification. The specific operation process is as follows:

[0023] Step 1: Intra-frame prediction mode calibration is performed in units of 4×4 blocks. First screen the 4×4 blocks that may be used for embedding in the I frame, and then decompress these 4×4 blocks block by block and compress them twice, traverse 9 prediction modes during the second compression process and calculate the corresponding absolute transformation error sum ( SATD:Sum of Absolute Transformed Differences)(Kim,J.,Jeong,J.:Fast Intra Mode Decision Algorithm using the Sum of Absolute Transformed Differences...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a video steganalysis method based on intra prediction mode calibration (IPMC). The method comprises steps: 1) IPMC is carried out on a to-be-detected video, the IPMC carries out block-by-block decompression and secondary compression with a 4*4 block as a unit, each IPM is traversed during the secondary compression process, and a corresponding sum of absolute transformed differences (SATD) is calculated; 2) according to data recorded during the calibration process, an IPMC feature set is calculated, wherein the IPMC feature set comprises two sub sets of an IPM transition probability feature set and an SATD transition distance feature set; and 3) the IPMC feature set is provided for a classifier for learning and classification, and steganalysis is further carried out. The existing video steganalysis algorithm based on the IPM can be effectively detected.

Description

technical field [0001] The invention belongs to the field of steganalysis in information security, and relates to a video steganalysis method based on intra-frame prediction mode calibration under the H.264 / AVC video coding standard. Background technique [0002] Modern information steganography achieves the purpose of covert communication by embedding secret information into seemingly normal digital media carriers. The steganographic carrier is very extensive, including text, audio, image, video, etc. The audiovisual and statistical properties of steganographic carriers are very similar to those of non-steganographic carriers, which are difficult to be distinguished by conventional methods. Compared with text, audio and images, video has a larger amount of data and a wider range of application scenarios. This also means that the video steganographic carrier has a larger steganographic capacity and wider transmission channels. Because of these advantages, video steganograp...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/467H04N19/593
Inventor 赵砚彬曹纭
Owner INST OF INFORMATION ENG CHINESE ACAD OF SCI
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More