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Title:A feature-based fingerprinting scheme robust to desynchronization
Author(s):Gigaud, Guillaume
Advisor(s):Moulin, Pierre
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Copyright Protection
Data Compression
Digital Fingerprinting
Feature Extraction
Image Processing
Spread Transform Dither Modulation
SURF Features
Abstract:Traitor-tracing (aka fingerprinting) has received much attention as a possible solution for protecting media copyrights. However, current schemes for image and video fingerprinting lack robustness against geometric attacks. We propose a novel semi-blind fingerprinting scheme that can cope with such attacks. The scheme improves a state-of-the-art high-rate fingerprinting code that can resist tens of colluders and Gaussian noise but has no resistance against geometric attacks. Our scheme uses compressed SURF (Speeded-Up Robust Features) image features as side information in order to estimate and invert any geometric attack in a given class. We consider simple linear attacks (affine transforms), and more complex ones (homography and image warping). Our Estimation-Elimination algorithm estimates the attack parameters by matching image features and eliminating iteratively suspected outliers. We also compare this method to an adapted version of RANSAC (Random Sample Consensus). The fingerprints are embedded securely and invisibly using Spread Transform Dither Modulation (STDM) applied to the intermediate level of a Laplace decomposition of the image. The fingerprints are robust against common attacks such as averaging, interleaving, addition of Gaussian noise, JPEG compression (with quality factor Q=45), cropping (50% of the image area), affine transforms, homography and image warping.
Issue Date:2010-08-20
Rights Information:Copyright 2010 Guillaume Gigaud
Date Available in IDEALS:2010-08-20
Date Deposited:2010-08

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