DocumentCode :
2362535
Title :
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
Link To Document :
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