Traitor-tracing aided by compressed SURF image features

Author

Gigaud, Guillaume ; Moulin, Pierre

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA

fYear

2010

fDate

17-19 March 2010

Firstpage

1

Lastpage

6

Abstract

Traitor-tracing (aka fingerprinting) has received much attention as a possible solution for protecting media copyrights. However, all the current schemes for images and video lack robustness against geometric attacks. We propose a novel semi-blind algorithm that can cope with such attacks. The algorithm uses compressed SURF features as side information in order to estimate and invert the geometric attack. Moreover the algorithm is highly robust against cropping and additive white noise.

Keywords

copyright; feature extraction; fingerprint identification; additive white noise; compressed SURF image features; cropping; fingerprinting; geometric attacks; media copyrights; semi blind algorithm; traitor tracing; Additive white noise; Decoding; Feature extraction; Fingerprint recognition; Image coding; Image processing; Noise robustness; Protection; Video compression; Watermarking; Copyright Protection; Feature Extraction; Fingerprint Identification; Image Processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Sciences and Systems (CISS), 2010 44th Annual Conference on

Conference_Location

Princeton, NJ

Print_ISBN

978-1-4244-7416-5

Electronic_ISBN

978-1-4244-7417-2

Type

conf

DOI

10.1109/CISS.2010.5464707

Filename

5464707