Robust perceptual hashing as classification problem: Decision-theoretic and practical considerations

2007 IEEE 9Th International Workshop on Multimedia Signal Processing, MMSP 2007 - Proceedings

Volumn , Issue , 2007, Pages 345-348

  Voloshynovskiy, Sviatoslav ^a   Koval, Oleksiy ^a   Beekhof, Fokko ^a   Pun, Thierry ^a  

^a UNIVERSITY OF GENEVA   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY SEQUENCES; COMPUTATIONAL COMPLEXITY; SIGNAL PROCESSING;

CHANNEL PARAMETERS; COMPOSITE HYPOTHESIS TESTING; EXPERIMENTAL VALIDATIONS; GEOMETRIC ATTACKS; GEOMETRIC CHANNEL MODELS; GEOMETRICAL TRANSFORMATIONS; HYPOTHESIS TESTING; INFORMED DECISIONS; MULTIPLE HYPOTHESIS TESTING; PERCEPTUAL HASHING; SECURITY REQUIREMENTS; UNIVERSAL TESTS;

TECHNICAL PRESENTATIONS;

EID: 48149092768     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MMSP.2007.4412887     Document Type: Conference Paper

References (4)

1. M. K. Mihak, R. Venkatesan, and T. Liu. Watermarking via optimization algorithms for quantizing randomized semi-global image statistics. 2(11):185-200, Dec. 2005.
2. V. Monga and B. L. Evans. Robust perceptual image hashing using feature points. In ICIP 2004, pages 677-680, 2004.
3. R. Venkatesanan, S. Koon, M. Jacubowski, and P. Moulin. Robust image hashing. In ICIP 2000, Vancouver, BC, Canada, September 2000.
4. S. Voloshynovskiy, O. Koval, F. Beekhof, and T. Pun. Geormetrically robust perseptual image hashing. Technical report, University of Geneva, Feb. 2007.