Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Video PRNU noise extraction method and camera source detection method

A noise extraction and detection method technology, applied in the direction of TV, color TV, color TV parts, etc., can solve the problem of unreliable estimation and matching of PRNU noise, reduce time complexity, reduce matching error rate, and improve performance Effect

Active Publication Date: 2021-02-12
QILU UNIV OF TECH
View PDF8 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The technical task of the present invention is to provide a method for extracting video PRNU noise and a camera source detection method for the above deficiencies, to solve the problem that PRNU noise in stable video clips still cannot be reliably estimated and matched

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 PRNU noise extraction method and camera source detection method
  • Video PRNU noise extraction method and camera source detection method
  • Video PRNU noise extraction method and camera source detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] In the vast majority of forensics scenarios in reality, because the photographer's mobile phone cannot be obtained, only the video taken by the mobile phone can be obtained. Therefore, it is more in line with the actual application scenario to extract the reference PRNU noise from a still segment of a certain length of video. In this case, not only the test PRNU noise, but also the reference PRNU noise are not reliable estimates of the sensor pattern noise, they are both affected by pixel misalignment between adjacent frames. After analysis, in a relatively still video sequence, not all frames may be subject to geometric transformations such as rotation and scaling brought about by rolling shutter correction technology or video stabilization. Therefore, extracting reference PRNU noise from still video is relatively reliable.

[0065] A kind of video PRNU noise extraction method of the present invention, utilize still video, carry out the extended calculation to the tra...

Embodiment 2

[0096] The similarity between the two two-dimensional matrices of the reference PRNU noise of the mobile phone and the test PRNU noise of the video to be tested is measured by the PCE value. If the correlation between the two noises is greater than a certain threshold, it is considered that the mobile phone has shot the video to be tested; otherwise, the video to be tested is considered to have nothing to do with the mobile phone. In order to calculate the PCE value on two two-dimensional matrices, it is first necessary to normalize the cross-correlation (Normalized Cross Correlation, NCC) reference PRNU noise and test PRNU noise, and calculate the cross-correlation coefficient of the noise signal by grouping to extract the calculation formula of PRNU noise, Extract and test the calculation formula of PRNU noise and expand the maximum likelihood estimation model to obtain PRNU noise. In addition to being subject to correction and transformation, when calculating PRNU noise by g...

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 discloses a video PRNU noise extraction method and a camera source detection method, belongs to the field of camera source detection, and aims to solve the technical problem that PRNU noise in a stable video clip still cannot be reliably estimated and matched. The extraction method comprises the following steps: putting video frames with the same geometric transformation into the same group; replacing the numerator in a traditional video PRNU noise calculation formula with the sum of the products of each group of residual noise and the video frames, replacing denominator in the traditional video PRNU noise calculation formula with the video frames from the same group, and accumulating the video PRNU noise solved by each group of video frames. The detection method comprises the following steps: carrying out extension calculation on a traditional PRNU noise calculation formula based on a maximum likelihood estimation method through the method; overlapping and striping the PRNU noise, and matching the reference PRNU noise with the test PRNU noise in a striping manner; and determining whether the test video comes from the reference mobile phone according to the single peak value.

Description

technical field [0001] The invention relates to the field of camera source detection, in particular to a video PRNU noise extraction method and a camera source detection method. Background technique [0002] Source camera identification (SCI) is a method to link an image or video with its capture device. Currently, most methods are based on the extraction and matching of PPRNU noise. PRNU, on the other hand, is caused by poor manufacturing process of the camera sensor and appears in all media captured by the camera. Because PRNU noise is stable and unique to the camera and the media it captures, it is possible to use PRNU noise as a "fingerprint" for camera source detection. [0003] With the wide application of video, it is found through experiments that extending the traditional method of extracting PRNU noise from images to video cannot achieve ideal results, and there are mainly two problems. [0004] One problem is that video files have more data than images, and are...

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 Applications(China)
IPC IPC(8): H04N5/232G06T5/00
CPCH04N23/951H04N23/682H04N23/689G06T5/70
Inventor 李健马宾扈媛媛王春鹏吴晓明杨美红
Owner QILU UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com