Book ChapterDOI
Video Authentication Using Relative Correlation Information and SVM
Mayank Vatsa,Richa Singh,Sanjay Singh,Saurabh Upadhyay +3 more
- pp 511-529
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The article was published on 2008-01-01. It has received 12 citations till now. The article focuses on the topics: Authentication & Support vector machine.read more
Citations
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Video Authentication: Issues and Challenges
Saurabh Upadhyay,Sanjay Singh +1 more
TL;DR: The issues in the designing of a video authentication system include the classification of tampering attacks, levels of tampering attack and robustness, and the categorization of existing video authentication techniques with their shortcomings are presented.
Journal ArticleDOI
Video Authentication- An Overview
Saurabh Upadhyay,Sanjay Singh +1 more
TL;DR: A brief survey on video authentication techniques with their classification is presented, broadly classified into four categories: digital signature based techniques, watermarkbased techniques, intelligent techniques and other techniques.
Proceedings ArticleDOI
Learning based video authentication using statistical local information
Saurabh Upadhyay,Sanjay Singh +1 more
TL;DR: An intelligent video authentication algorithm using support vector machine, which is a non-linear classifier, which computes the local information of the difference frames of given video statistically and classifies the video as tampered or non-tampered.
Proceedings ArticleDOI
Video authentication in digital forensic
TL;DR: An algorithm that is divided in two parts: computing the repeated frames by processing the image pixels to produce a frame-by-frame motion energy time and computing the tampering attack and its location with the help of the Support Vector Machine helps to predict whether the given video has been tampered or not.
Proceedings ArticleDOI
Video authentication based on statistical local information
TL;DR: The results show that the proposed algorithm has potential to be a reliable intelligent technique in digital video authentication without the need to use for SVM classifier which makes it faster and less computationally expensive in comparing with other intelligent techniques.
References
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Book
The Nature of Statistical Learning Theory
TL;DR: Setting of the learning problem consistency of learning processes bounds on the rate of convergence ofLearning processes controlling the generalization ability of learning process constructing learning algorithms what is important in learning theory?
Journal ArticleDOI
New Directions in Cryptography
TL;DR: This paper suggests ways to solve currently open problems in cryptography, and discusses how the theories of communication and computation are beginning to provide the tools to solve cryptographic problems of long standing.
Image Features From Phase Congruency
TL;DR: Videre: Journal of Computer Vision Research is a quarterly journal published electronically on the Internet by The MIT Press, Cambridge, Massachusetts, 02142 and prices subject to change without notice.
Journal ArticleDOI
Structural digital signature for image authentication: an incidental distortion resistant scheme
TL;DR: A new digital signature scheme which makes use of an image's contents (in the wavelet transform domain) to construct a structural digital signature (SDS) for image authentication, which can tolerate content-preserving modifications while detecting content-changing modifications.
Proceedings ArticleDOI
Compression tolerant image authentication
TL;DR: A scheme for authenticating the visual content of digital images is proposed, robust to compression noise, but will detect deliberate manipulation of the image-data.