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avoiding privacy in cinema using
IR camera
abstract
• In the present period, the issue of theft turned into a significant
issue for survival of Indian film industry. Because of robbery, silver
screen industry endures an enormous measure of money related
misfortune. Albeit, Digital Cinema Initiatives characterizes a
criminological checking framework in their gauges with a specific
end goal to ensure their copyrights. Be that as it may, it is not
adequate to maintain a strategic distance from theft. Since it just
shows when and where was theft done, however not the genuine
area of the camera. The primary test is to decide the area of the
camera in the theatre. In this paper, a Fractional spline wavelet
transformation and Location Tracking Algorithm to decide camera
of the picture has been investigated and introduced. This technique
can be utilized to decide the position of the camera in the theatre.
Trial comes about demonstrate the legitimacy of proposed work.
Need to study
• Digital Cinema industry suffers a huge amount of loss
because of the illegal recording of a movie in a theatre
during its release. The loss is inflicted because of the fact
that these recorded illegal copies are floated on the
internet, which in turn is downloaded by viewers and
instead of buying a DVD or going to the theatre to watch it.
People prefer watching the pirated version of the movie.
This type of black marketing not only inflicts loss to the
Producer/Financiers of the movie, but also to the theatre
owner, DVD developer, etc. To deterrence of illegal
recording many entertainment companies use copy
protection technologies. Digital Cinema Initiatives (DCI)
defines a forensic marking system in their standards in
order to protect their copyrights
Literature review
Color guided thermal image super resolution
Xiaohui Chen; Guangtao Zhai; Jia Wang; Chunjia Hu; Yuanchun Chen
2016 Visual Communications and Image Processing (VCIP)Year: 2016
IR imaging is playing an important role in industry these days. However,
the IR cameras only support low resolution for technical reasons. In this
paper, we propose to use the visible camera as a guidance to super
resolution the IR images. We setup a prototype of the IR-Color multi-
sensor imaging system and construct a dataset including videos collected
from different scenes for further research. Then we present our color
guided algorithm which is suitable for this kind of super resolution
problem. We test our algorithm on our dataset. The experiment results
indicate that our algorithm performs well, and avoids the over-texture
problems that traditional solutions suffer from. In further work, we will
apply our multi-sensor system to more applications in computer vision.
Environment map building using low-cost IR sensors and a servo motor for
mobile robot
Hong Duck Eom; Jae Wook Jeon
The 18th IEEE International Symposium on Consumer Electronics (ISCE
2014)Year: 2014
This paper presents an environment map building method to detect and to
avoid obstacles using a low-cost IR sensor and the turn angle of a servo
motor for autonomous mobile robots. The environment map building
methods widely used by autonomous mobile robots require an expensive
sensor or several sensors, such as camera, laser sensor and so on. With
the method we present, an autonomous robot can draw the environment
map without using the several expensive sensors. We control the mobile
robot through the IR sensor on the servo motor for increasing the obstacle
recognition range. The distance data and the angle of the motor are used
to draw an environment map. The proposed method was verified in a
controlled environment by experiment.
Enhancement of method for preventing illegal recording of movies to
enable it to detect cameras with attached infrared-cut filter
Takayuki Yamada; Seiichi Gohshi; Isao Echizen
2012 IEEE International Conference on Acoustics, Speech and Signal
Processing (ICASSP)Year: 2012
A previously proposed method for preventing the illegal recording of movies,
which uses a charge-coupled device or a complementary metal oxide
semiconductor device to add noise signals to the recorded content, is
ineffective when the digital camera or camcorder used for the recording is
equipped with an infrared-cut filter. The method has now been enhanced
to make it effective even when an infrared-cut filter is used. Infrared rays
specularly reflected from the filter are detected using an IR camcorder
with a short-wavelength cut filter. Testing using a prototype system
implemented on a 100-inch cinema screen showed that the enhanced
method effectively detects in real time a camera or camcorder equipped
with an infrared-cut filter.
Multimodal target detection via integrated GLRT
Steven Kay; Fuat Cogun
MILCOM 2015 - 2015 IEEE Military Communications ConferenceYear: 2015
The focus of this paper is the multimodal detection and localization of a
ground moving target based on radio frequency (RF) and infrared (IR) data.
The target radiates a low probability of intercept (LPI) RF signal received
by multiple passive RF sensors at scene and is imaged by using a stationary
IR camera concurrently. To obtain the multimodal detector proposed in
this paper, first, the generalized likelihood ratio test (GLRT) is employed to
derive the RF and IR detectors individually. Then, the RF and IR detectors
are integrated optimally to get the integrated GLRT. In order to avoid the
computational complexity associated with the integrated GLRT, a
suboptimal multimodal detector is implemented by applying the random
basis functions (RBF) approach to the IR image sequence to reduce down
the search space for the RF detector. It is shown that the suboptimal
multimodal detector has better localization performance compared to the
RF detector when one of the RF sensors is partially occluded
Technique for Estimation of the Position of the Pirate In-Theater Piracy
Praveen Singh Thakur; Shishir Kumar
2015 Second International Conference on Advances in Computing and Communication
EngineeringYear: 2015
In the present era, the problem of piracy became a crucial issue for survival of
Indian film industry. Due to piracy, cinema industry suffers a huge amount of
monetary loss. Although, Digital Cinema Initiatives defines a forensic marking
system in their standards in order to protect their copyrights. However, it is not
sufficient to avoid piracy. Because it only shows when and where was piracy done,
but not the actual location of the camera. The main challenge is to determine the
location of the camera in the theater. In this paper, a method to determine tilt
angle of the image has been analyzed and presented. This method can be used to
determine the position of the camera in the theater. The proposed work uses the
projective to transform and zero padding technique for finding the tilt angle of the
image. Experimental results show the validity of proposed work.
Existing system
• Privacy protection has been attracting considerable attention in
recent years. Several instances of surveillance video recordings of
famous people in public stores being uploaded to the Internet have
been reported. Such instances of privacy infringement have become
increasingly concerning. A simple solution to this problem is to
obscure the facial features of individuals being recorded in
surveillance camera systems. However, in some cases where
surveillance camera recordings are required, such as criminal
investigations, the solution fails. Therefore, we propose a new
surveillance camera system that balances the requirements of
privacy protection and those of cases in which unobscured images
are required. Further, we present the protocol of the proposed
system and evaluate the security of the system against attacks.
Proposed system
• Digital Cinema industry suffers a huge amount of
loss because of the illegal recording of a movie in
a theatre during its release. The loss is inflicted
because of the fact that these recorded illegal
copies are floated on the internet, which in turn
is downloaded by viewers and instead of buying a
DVD or going to the theatre to watch it. IR
camera based method is used to determine the
position of the camera in the theatre. The
proposed work uses the projective to Fractional
Spline wavelet Transform and Location Tracking
Algorithm for finding the location of the camera .
Block diagram
IR Camera Video Frames
Fractional Spline
Wavelet algorithm
Location Tracking
Algorithm
Tools Used
• IR Camera
• Matlab18a
• Matlab Image Processing Tool Box
Refrences
• [1] Digital Cinema System Specification Version 1.2, Digital Cinema Initiatives, LLC, 2008. [Online].
Available: http://www.dcimovies.com/ DCIDigitalCinemaSystemSpecv1_2.pdf.
• [2] J. Lubin, J. Bloom, and H. Cheng, “Robust, content-dependent, highfidelity watermark for
tracking in digital cinema,” in Proc. SPIE Security and Watermarking of Multimedia Contents V, vol.
5020, pp. 536–545. 2003.
• [3] Min-Jeong Lee, Kyung-Su Kim, and Heung-Kyu Lee “Digital Cinema Watermarking for Estimating
the Position of the Pirate” In IEEE Transactions on Multimedia,. vol. 12, no. 7, pp. 605-621, 2010.
• [4] B. Chupeau, A. Massoudi, and F. Lefébvre, “In-theater piracy: Finding where the pirate was,” In
proc. SPIE Security, Forensics, Steganography, and Watermarking of Multimedia Contents,, vol.
6819, pp. 68190T1–10. 2008.
• [5] Y. Nakashima, R. Tachibana, and N. Babaguchi, “Watermarked movie soundtrack finds the
position of the camcorder in a theater,” In IEEE Transactions Multimedia, vol. 11, no. 3, pp. 443–
454. 2009.
• [6] ] R. Tachibana, M. Nishimura, and N. Babaguchi, “Estimation of recording location using audio
watermarking,” In Proc. ACM Multimedia and Security Workshop, pp. 108–113. 2006.
• [7] ] Y. Nakashima, R. Tachibana, M. Nishimura, and N. Babaguchi, “Determining recording location
based on synchronization positions of audio watermarking,” In Proc. International. Conference of
Acoustic, Speech, Signal Processing, pp. II253–II256. 2007

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Avoiding privacy in cinema using ir camera (1)

  • 1. avoiding privacy in cinema using IR camera
  • 2. abstract • In the present period, the issue of theft turned into a significant issue for survival of Indian film industry. Because of robbery, silver screen industry endures an enormous measure of money related misfortune. Albeit, Digital Cinema Initiatives characterizes a criminological checking framework in their gauges with a specific end goal to ensure their copyrights. Be that as it may, it is not adequate to maintain a strategic distance from theft. Since it just shows when and where was theft done, however not the genuine area of the camera. The primary test is to decide the area of the camera in the theatre. In this paper, a Fractional spline wavelet transformation and Location Tracking Algorithm to decide camera of the picture has been investigated and introduced. This technique can be utilized to decide the position of the camera in the theatre. Trial comes about demonstrate the legitimacy of proposed work.
  • 3. Need to study • Digital Cinema industry suffers a huge amount of loss because of the illegal recording of a movie in a theatre during its release. The loss is inflicted because of the fact that these recorded illegal copies are floated on the internet, which in turn is downloaded by viewers and instead of buying a DVD or going to the theatre to watch it. People prefer watching the pirated version of the movie. This type of black marketing not only inflicts loss to the Producer/Financiers of the movie, but also to the theatre owner, DVD developer, etc. To deterrence of illegal recording many entertainment companies use copy protection technologies. Digital Cinema Initiatives (DCI) defines a forensic marking system in their standards in order to protect their copyrights
  • 4. Literature review Color guided thermal image super resolution Xiaohui Chen; Guangtao Zhai; Jia Wang; Chunjia Hu; Yuanchun Chen 2016 Visual Communications and Image Processing (VCIP)Year: 2016 IR imaging is playing an important role in industry these days. However, the IR cameras only support low resolution for technical reasons. In this paper, we propose to use the visible camera as a guidance to super resolution the IR images. We setup a prototype of the IR-Color multi- sensor imaging system and construct a dataset including videos collected from different scenes for further research. Then we present our color guided algorithm which is suitable for this kind of super resolution problem. We test our algorithm on our dataset. The experiment results indicate that our algorithm performs well, and avoids the over-texture problems that traditional solutions suffer from. In further work, we will apply our multi-sensor system to more applications in computer vision.
  • 5. Environment map building using low-cost IR sensors and a servo motor for mobile robot Hong Duck Eom; Jae Wook Jeon The 18th IEEE International Symposium on Consumer Electronics (ISCE 2014)Year: 2014 This paper presents an environment map building method to detect and to avoid obstacles using a low-cost IR sensor and the turn angle of a servo motor for autonomous mobile robots. The environment map building methods widely used by autonomous mobile robots require an expensive sensor or several sensors, such as camera, laser sensor and so on. With the method we present, an autonomous robot can draw the environment map without using the several expensive sensors. We control the mobile robot through the IR sensor on the servo motor for increasing the obstacle recognition range. The distance data and the angle of the motor are used to draw an environment map. The proposed method was verified in a controlled environment by experiment.
  • 6. Enhancement of method for preventing illegal recording of movies to enable it to detect cameras with attached infrared-cut filter Takayuki Yamada; Seiichi Gohshi; Isao Echizen 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Year: 2012 A previously proposed method for preventing the illegal recording of movies, which uses a charge-coupled device or a complementary metal oxide semiconductor device to add noise signals to the recorded content, is ineffective when the digital camera or camcorder used for the recording is equipped with an infrared-cut filter. The method has now been enhanced to make it effective even when an infrared-cut filter is used. Infrared rays specularly reflected from the filter are detected using an IR camcorder with a short-wavelength cut filter. Testing using a prototype system implemented on a 100-inch cinema screen showed that the enhanced method effectively detects in real time a camera or camcorder equipped with an infrared-cut filter.
  • 7. Multimodal target detection via integrated GLRT Steven Kay; Fuat Cogun MILCOM 2015 - 2015 IEEE Military Communications ConferenceYear: 2015 The focus of this paper is the multimodal detection and localization of a ground moving target based on radio frequency (RF) and infrared (IR) data. The target radiates a low probability of intercept (LPI) RF signal received by multiple passive RF sensors at scene and is imaged by using a stationary IR camera concurrently. To obtain the multimodal detector proposed in this paper, first, the generalized likelihood ratio test (GLRT) is employed to derive the RF and IR detectors individually. Then, the RF and IR detectors are integrated optimally to get the integrated GLRT. In order to avoid the computational complexity associated with the integrated GLRT, a suboptimal multimodal detector is implemented by applying the random basis functions (RBF) approach to the IR image sequence to reduce down the search space for the RF detector. It is shown that the suboptimal multimodal detector has better localization performance compared to the RF detector when one of the RF sensors is partially occluded
  • 8. Technique for Estimation of the Position of the Pirate In-Theater Piracy Praveen Singh Thakur; Shishir Kumar 2015 Second International Conference on Advances in Computing and Communication EngineeringYear: 2015 In the present era, the problem of piracy became a crucial issue for survival of Indian film industry. Due to piracy, cinema industry suffers a huge amount of monetary loss. Although, Digital Cinema Initiatives defines a forensic marking system in their standards in order to protect their copyrights. However, it is not sufficient to avoid piracy. Because it only shows when and where was piracy done, but not the actual location of the camera. The main challenge is to determine the location of the camera in the theater. In this paper, a method to determine tilt angle of the image has been analyzed and presented. This method can be used to determine the position of the camera in the theater. The proposed work uses the projective to transform and zero padding technique for finding the tilt angle of the image. Experimental results show the validity of proposed work.
  • 9. Existing system • Privacy protection has been attracting considerable attention in recent years. Several instances of surveillance video recordings of famous people in public stores being uploaded to the Internet have been reported. Such instances of privacy infringement have become increasingly concerning. A simple solution to this problem is to obscure the facial features of individuals being recorded in surveillance camera systems. However, in some cases where surveillance camera recordings are required, such as criminal investigations, the solution fails. Therefore, we propose a new surveillance camera system that balances the requirements of privacy protection and those of cases in which unobscured images are required. Further, we present the protocol of the proposed system and evaluate the security of the system against attacks.
  • 10. Proposed system • Digital Cinema industry suffers a huge amount of loss because of the illegal recording of a movie in a theatre during its release. The loss is inflicted because of the fact that these recorded illegal copies are floated on the internet, which in turn is downloaded by viewers and instead of buying a DVD or going to the theatre to watch it. IR camera based method is used to determine the position of the camera in the theatre. The proposed work uses the projective to Fractional Spline wavelet Transform and Location Tracking Algorithm for finding the location of the camera .
  • 11. Block diagram IR Camera Video Frames Fractional Spline Wavelet algorithm Location Tracking Algorithm
  • 12. Tools Used • IR Camera • Matlab18a • Matlab Image Processing Tool Box
  • 13. Refrences • [1] Digital Cinema System Specification Version 1.2, Digital Cinema Initiatives, LLC, 2008. [Online]. Available: http://www.dcimovies.com/ DCIDigitalCinemaSystemSpecv1_2.pdf. • [2] J. Lubin, J. Bloom, and H. Cheng, “Robust, content-dependent, highfidelity watermark for tracking in digital cinema,” in Proc. SPIE Security and Watermarking of Multimedia Contents V, vol. 5020, pp. 536–545. 2003. • [3] Min-Jeong Lee, Kyung-Su Kim, and Heung-Kyu Lee “Digital Cinema Watermarking for Estimating the Position of the Pirate” In IEEE Transactions on Multimedia,. vol. 12, no. 7, pp. 605-621, 2010. • [4] B. Chupeau, A. Massoudi, and F. Lefébvre, “In-theater piracy: Finding where the pirate was,” In proc. SPIE Security, Forensics, Steganography, and Watermarking of Multimedia Contents,, vol. 6819, pp. 68190T1–10. 2008. • [5] Y. Nakashima, R. Tachibana, and N. Babaguchi, “Watermarked movie soundtrack finds the position of the camcorder in a theater,” In IEEE Transactions Multimedia, vol. 11, no. 3, pp. 443– 454. 2009. • [6] ] R. Tachibana, M. Nishimura, and N. Babaguchi, “Estimation of recording location using audio watermarking,” In Proc. ACM Multimedia and Security Workshop, pp. 108–113. 2006. • [7] ] Y. Nakashima, R. Tachibana, M. Nishimura, and N. Babaguchi, “Determining recording location based on synchronization positions of audio watermarking,” In Proc. International. Conference of Acoustic, Speech, Signal Processing, pp. II253–II256. 2007