Sondos Magdy - Academia.edu (original) (raw)

Papers by Sondos Magdy

Research paper thumbnail of CNN spatiotemporal features and fusion for surveillance video forgery detection

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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Research paper thumbnail of Surveillance Video Authentication Using Universal Image Quality Index of Temporal Average

Digital Forensics and Watermarking

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Research paper thumbnail of Frame duplication and shuffling forgery detection technique in surveillance videos based on temporal average and gray level co-occurrence matrix

Multimedia Tools and Applications

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Research paper thumbnail of Exposing video inter-frame forgery via histogram of oriented gradients and motion energy image

Multidimensional Systems and Signal Processing

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Research paper thumbnail of Inter-Frame Forgery Detection Based on Differential Energy of Residue

IET Image Processing

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Research paper thumbnail of Authentication of Surveillance Videos: Detecting Frame Duplication Based on Residual Frame

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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Research paper thumbnail of Robust Copy–Move forgery revealing in digital images using polar coordinate system

Neurocomputing

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Research paper thumbnail of Currency recognition system for visually impaired: Egyptian banknote as a study case

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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Research paper thumbnail of A proposed accelerated image copy-move forgery detection

2014 IEEE Visual Communications and Image Processing Conference, 2014

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Research paper thumbnail of Copy-rotate-move forgery detection based on spatial domain

2014 9th International Conference on Computer Engineering & Systems (ICCES), 2014

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Research paper thumbnail of Fan Search for Image Copy-Move Forgery Detection

Communications in Computer and Information Science, 2014

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Research paper thumbnail of Handwriting forgery detection based on ink colour features

2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)

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Research paper thumbnail of CNN spatiotemporal features and fusion for surveillance video forgery detection

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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Research paper thumbnail of Surveillance Video Authentication Using Universal Image Quality Index of Temporal Average

Digital Forensics and Watermarking

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Research paper thumbnail of Frame duplication and shuffling forgery detection technique in surveillance videos based on temporal average and gray level co-occurrence matrix

Multimedia Tools and Applications

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Research paper thumbnail of Exposing video inter-frame forgery via histogram of oriented gradients and motion energy image

Multidimensional Systems and Signal Processing

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Inter-Frame Forgery Detection Based on Differential Energy of Residue

IET Image Processing

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Authentication of Surveillance Videos: Detecting Frame Duplication Based on Residual Frame

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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Research paper thumbnail of Robust Copy–Move forgery revealing in digital images using polar coordinate system

Neurocomputing

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Research paper thumbnail of Currency recognition system for visually impaired: Egyptian banknote as a study case

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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Research paper thumbnail of A proposed accelerated image copy-move forgery detection

2014 IEEE Visual Communications and Image Processing Conference, 2014

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Research paper thumbnail of Copy-rotate-move forgery detection based on spatial domain

2014 9th International Conference on Computer Engineering & Systems (ICCES), 2014

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Research paper thumbnail of Fan Search for Image Copy-Move Forgery Detection

Communications in Computer and Information Science, 2014

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Research paper thumbnail of Handwriting forgery detection based on ink colour features

2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)

Bookmarks Related papers MentionsView impact