Sondos Magdy - Academia.edu (original) (raw)
Papers by Sondos Magdy
Surveillance cameras are widely used to provide protection and security; also their videos are us... more Surveillance cameras are widely used to provide protection and security; also their videos are used as strong evidences in the courts. Through the availability of video editing tools, it has become easy to distort these evidences. Sometimes, to hide the traces of forgery, some post-processing operations are performed after editing. Hence, the authenticity and integrity of surveillance videos have become urgent to scientifically validate. In this paper, we propose inter-frame forgeries (frame deletion, frame insertion, and frame duplication) detection system using 2D convolution neural network (2D-CNN) of spatiotemporal information and fusion for deep automatically feature extraction; Gaussian RBF multi-class support vector machine (RBF-MSVM) is used for classification process. The experimental results show that the efficiency of the proposed system for detecting all inter-frame forgeries, even when the forged videos have undergone additional post-processing operations such as Gaussi...
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Digital Forensics and Watermarking
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Multimedia Tools and Applications
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Multidimensional Systems and Signal Processing
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IET Image Processing
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Journal of forensic sciences, Jan 16, 2017
Nowadays, surveillance systems are used to control crimes. Therefore, the authenticity of digital... more Nowadays, surveillance systems are used to control crimes. Therefore, the authenticity of digital video increases the accuracy of deciding to admit the digital video as legal evidence or not. Inter-frame duplication forgery is the most common type of video forgery methods. However, many existing methods have been proposed for detecting this type of forgery and these methods require high computational time and impractical. In this study, we propose an efficient inter-frame duplication detection algorithm based on standard deviation of residual frames. Standard deviation of residual frame is applied to select some frames and ignore others, which represent a static scene. Then, the entropy of discrete cosine transform coefficients is calculated for each selected residual frame to represent its discriminating feature. Duplicated frames are then detected exactly using subsequence feature analysis. The experimental results demonstrated that the proposed method is effective to identify int...
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Neurocomputing
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2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA), 2015
One of the most important problems facing visual impaired people is money recognition especially ... more One of the most important problems facing visual impaired people is money recognition especially for paper currency. In this paper we present a simple system currency recognition system applied on Egyptian banknote. Our proposed system is based on simple image processing utilities that insure performing the process as fast and robust as possible. The basic techniques utilized in our proposed system include image foreground segmentation, histogram enhancement, region of interest (ROI) extraction and finally template matching based on the cross-correlation between the captured image and our data set. The experimental results demonstrate that the proposed method can recognize Egyptian paper money with high quality reaches 89% and short time.
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2014 IEEE Visual Communications and Image Processing Conference, 2014
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2014 9th International Conference on Computer Engineering & Systems (ICCES), 2014
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Communications in Computer and Information Science, 2014
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2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)
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Surveillance cameras are widely used to provide protection and security; also their videos are us... more Surveillance cameras are widely used to provide protection and security; also their videos are used as strong evidences in the courts. Through the availability of video editing tools, it has become easy to distort these evidences. Sometimes, to hide the traces of forgery, some post-processing operations are performed after editing. Hence, the authenticity and integrity of surveillance videos have become urgent to scientifically validate. In this paper, we propose inter-frame forgeries (frame deletion, frame insertion, and frame duplication) detection system using 2D convolution neural network (2D-CNN) of spatiotemporal information and fusion for deep automatically feature extraction; Gaussian RBF multi-class support vector machine (RBF-MSVM) is used for classification process. The experimental results show that the efficiency of the proposed system for detecting all inter-frame forgeries, even when the forged videos have undergone additional post-processing operations such as Gaussi...
Bookmarks Related papers MentionsView impact
Digital Forensics and Watermarking
Bookmarks Related papers MentionsView impact
Multimedia Tools and Applications
Bookmarks Related papers MentionsView impact
Multidimensional Systems and Signal Processing
Bookmarks Related papers MentionsView impact
IET Image Processing
Bookmarks Related papers MentionsView impact
Journal of forensic sciences, Jan 16, 2017
Nowadays, surveillance systems are used to control crimes. Therefore, the authenticity of digital... more Nowadays, surveillance systems are used to control crimes. Therefore, the authenticity of digital video increases the accuracy of deciding to admit the digital video as legal evidence or not. Inter-frame duplication forgery is the most common type of video forgery methods. However, many existing methods have been proposed for detecting this type of forgery and these methods require high computational time and impractical. In this study, we propose an efficient inter-frame duplication detection algorithm based on standard deviation of residual frames. Standard deviation of residual frame is applied to select some frames and ignore others, which represent a static scene. Then, the entropy of discrete cosine transform coefficients is calculated for each selected residual frame to represent its discriminating feature. Duplicated frames are then detected exactly using subsequence feature analysis. The experimental results demonstrated that the proposed method is effective to identify int...
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Neurocomputing
Bookmarks Related papers MentionsView impact
2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA), 2015
One of the most important problems facing visual impaired people is money recognition especially ... more One of the most important problems facing visual impaired people is money recognition especially for paper currency. In this paper we present a simple system currency recognition system applied on Egyptian banknote. Our proposed system is based on simple image processing utilities that insure performing the process as fast and robust as possible. The basic techniques utilized in our proposed system include image foreground segmentation, histogram enhancement, region of interest (ROI) extraction and finally template matching based on the cross-correlation between the captured image and our data set. The experimental results demonstrate that the proposed method can recognize Egyptian paper money with high quality reaches 89% and short time.
Bookmarks Related papers MentionsView impact
2014 IEEE Visual Communications and Image Processing Conference, 2014
Bookmarks Related papers MentionsView impact
2014 9th International Conference on Computer Engineering & Systems (ICCES), 2014
Bookmarks Related papers MentionsView impact
Communications in Computer and Information Science, 2014
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2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)
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