@conference {13556,
	title = {Flattening curved documents in images},
	booktitle = {Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on},
	volume = {2},
	year = {2005},
	month = {2005/06//},
	pages = {338 - 345 vol. 2 - 338 - 345 vol. 2},
	abstract = {Compared to scanned images, document pictures captured by camera can suffer from distortions due to perspective and page warping. It is necessary to restore a frontal planar view of the page before other OCR techniques can be applied. In this paper we describe a novel approach for flattening a curved document in a single picture captured by an uncalibrated camera. To our knowledge this is the first reported method able to process general curved documents in images without camera calibration. We propose to model the page surface by a developable surface, and exploit the properties (parallelism and equal line spacing) of the printed textual content on the page to recover the surface shape. Experiments show that the output images are much more OCR friendly than the original ones. While our method is designed to work with any general developable surfaces, it can be adapted for typical special cases including planar pages, scans of thick books, and opened books.},
	keywords = {calibration;, camera, character, content;, curved, distortion;, document, document;, image, images;, OCR, optical, page, pictures;, printed, processing;, recognition;, restoration;, scanned, techniques;, textual, warping;},
	doi = {10.1109/CVPR.2005.163},
	author = {Liang,Jian and DeMenthon,D. and David Doermann}
}
@article {18180,
	title = {Collusion-resistant fingerprinting for multimedia},
	journal = {Signal Processing Magazine, IEEE},
	volume = {21},
	year = {2004},
	month = {2004/03//},
	pages = {15 - 27},
	abstract = {Digital fingerprinting is a technology for enforcing digital rights policies whereby unique labels, known as digital fingerprints, are inserted into content prior to distribution. For multimedia content, fingerprints can be embedded using conventional watermarking techniques that are typically concerned with robustness against a variety of attacks mounted by an individual. These attacks, known as multiuser collusion attacks, provide a cost-effective method for attenuating each of the colluder{\textquoteright}s fingerprints and poses a real threat to protecting media data and enforcing usage policies. In this article, we review some major design methodologies for collusion-resistant fingerprinting of multimedia and highlight common and unique issues of different fingerprinting techniques. It also provides detailed discussions on the two major classes of fingerprinting strategies, namely, orthogonal fingerprinting and correlated fingerprinting.},
	keywords = {attacks;, colluder, collusion, collusion-resistant, content;, correlated, data;, digital, fingerprinting;, identification;, multimedia, multiuser, of, orthogonal, policies;, rights, Security, systems;, techniques;, tracing;, watermarking, watermarking;},
	isbn = {1053-5888},
	doi = {10.1109/MSP.2004.1276103},
	author = {M. Wu and Trappe,W. and Wang,Z.J. and Liu,K. J.R}
}
@conference {18261,
	title = {Performance of detection statistics under collusion attacks on independent multimedia fingerprints},
	booktitle = {Multimedia and Expo, 2003. ICME {\textquoteright}03. Proceedings. 2003 International Conference on},
	volume = {1},
	year = {2003},
	month = {2003/07//},
	pages = {I - 205-8 vol.1 - I - 205-8 vol.1},
	abstract = {Digital fingerprinting is a technology for tracing the distribution of multimedia content and protecting them from unauthorized redistribution. Collusion attack is a cost effective attack against digital fingerprinting where several copies with the same content but different fingerprints are combined to remove the original fingerprints. In this paper, we consider average attack and several nonlinear collusion attacks on independent Gaussian based fingerprints, and study the detection performance of several commonly used detection statistics in the literature under collusion attacks. Observing that these detection statistics are not specifically designed for collusion scenarios and do not take into account the characteristics of the newly generated fingerprints under collusion attacks, we propose pre-processing techniques to improve the detection performance of the detection statistics under collusion attacks.},
	keywords = {analysis;, attacks;, based, collusion, content;, DETECTION, digital, fingerprint, fingerprinting;, fingerprints;, Gaussian, identification;, independent, multimedia, performance;, preprocessing, processes;, redistribution;, security;, statistical, statistics;, systems;, techniques;, Telecommunication, unauthorized},
	doi = {10.1109/ICME.2003.1220890},
	author = {Zhao,Hong and M. Wu and Wang,Z.J. and Liu,K. J.R}
}
@conference {18166,
	title = {Anti-collusion codes: multi-user and multimedia perspectives},
	booktitle = {Image Processing. 2002. Proceedings. 2002 International Conference on},
	volume = {2},
	year = {2002},
	month = {2002///},
	pages = {II-149 - II-152 vol.2 - II-149 - II-152 vol.2},
	abstract = {Digital fingerprinting is an effective method to identify users who might try to redistribute multimedia content, such as images and video. These fingerprints are typically embedded into the content using watermarking techniques that are designed to be robust to a variety of attacks. A cheap and effective attack against such digital fingerprints is collusion, where several differently marked copies of the same content are averaged or combined to disrupt the underlying fingerprint. We present a construction of collusion-resistant fingerprints based upon anti-collusion codes (ACC) and binary code modulation. ACC have the property that the composition of any subset of K or fewer codevectors is unique. Using this property, we build fingerprints that allow for the identification of groups of K or less colluders. We present a construction of binary-valued ACC under the logical AND operation using the theory of combinatorial designs. Our code construction requires only Oscr;( radic;n) orthogonal signals to accommodate n users. We demonstrate the performance of our ACC for fingerprinting multimedia by identifying colluders through experiments using real images.},
	keywords = {and, anti-collusion, authentication;, binary, code, codes;, coding;, combinatorial, computing;, content;, data, designs;, digital, embedding;, encapsulation;, fingerprinting;, image, images;, logical, mathematics;, message, Modulation, modulation;, multimedia, operation;, performance;, watermarking;},
	doi = {10.1109/ICIP.2002.1039909},
	author = {Trappe,W. and M. Wu and Liu,K. J.R}
}
