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Volumn 306, Issue , 2009, Pages 107-118

Source camera identification using support vector machines

Author keywords

Camera identification; CFA interpolation; Support vector machine

Indexed keywords

CAMERAS; CLASSIFICATION (OF INFORMATION); COVARIANCE MATRIX; ELECTRONIC CRIME COUNTERMEASURES; IMAGE COMPRESSION; INTERPOLATION; SUPPORT VECTOR MACHINES;

EID: 84872408635     PISSN: 18684238     EISSN: 1868422X     Source Type: Book Series    
DOI: 10.1007/978-3-642-04155-6_8     Document Type: Conference Paper
Times cited : (17)

References (15)
  • 1
    • 85086795030 scopus 로고    scopus 로고
    • Improvements on source camera model identification based on CFA interpolation
    • M. Olivier and S. Shenoi (Eds.), Springer, Boston, Massachusetts
    • [1] S. Bayram, H. Sencar and N. Memon, Improvements on source camera model identification based on CFA interpolation, in Advances in Digital Forensics II, M. Olivier and S. Shenoi (Eds.), Springer, Boston, Massachusetts, pp. 289–299, 2006.
    • (2006) Advances in Digital Forensics II , pp. 289-299
    • Bayram, S.1    Sencar, H.2    Memon, N.3
  • 3
    • 0003710380 scopus 로고    scopus 로고
    • Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan
    • C. Chang and C. Lin, LIBSVM: A Library for Support Vector Machines, Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan (www.csie.ntu.edu.tw/∼cjlin/libsvm).
    • LIBSVM: A Library for Support Vector Machines
    • Chang, C.1    Lin, C.2
  • 4
    • 37849029111 scopus 로고    scopus 로고
    • Automatic source camera identification using intrinsic lens radial distortion
    • [4] K. Choi, E. Lam and K. Wong, Automatic source camera identification using intrinsic lens radial distortion, Optics Express, vol. 14(24), pp. 11551–11565, 2006.
    • (2006) Optics Express , vol.14 , Issue.24 , pp. 11551-11565
    • Choi, K.1    Lam, E.2    Wong, K.3
  • 6
    • 4944228528 scopus 로고    scopus 로고
    • Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan
    • C. Hsu, C. Chang and C. Lin, A Practical Guide to Support Vector Classification, Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan (www.csie.ntu.edu.tw/∼cjlin/papers/guide/guide.pdf), 2003.
    • (2003) A Practical Guide to Support Vector Classification
    • Hsu, C.1    Chang, C.2    Lin, C.3
  • 10
    • 33645671569 scopus 로고    scopus 로고
    • Detecting digital image forgeries using sensor pattern noise
    • [10] J. Lukas, J. Fridrich and M. Goljan, Detecting digital image forgeries using sensor pattern noise, Proceedings of the SPIE, vol. 6072, pp. 362–372, 2006.
    • (2006) Proceedings of the SPIE , vol.6072 , pp. 362-372
    • Lukas, J.1    Fridrich, J.2    Goljan, M.3
  • 11
    • 51149111643 scopus 로고    scopus 로고
    • A new feature-based method for source camera identification
    • in Advances in Digital Forensics IV, I. Ray and S. Shenoi (Eds.), Boston, Massachusetts
    • [11] F. Meng, X. Kong and X. You, A new feature-based method for source camera identification, in Advances in Digital Forensics IV, I. Ray and S. Shenoi (Eds.), Springer, Boston, Massachusetts, pp. 207–218, 2008.
    • (2008) Springer , pp. 207-218
    • Meng, F.1    Kong, X.2    You, X.3
  • 12
    • 84882472841 scopus 로고    scopus 로고
    • Passive-blind image forensics
    • W. Zeng, H. Yu and C. Lin (Eds.), Academic Press, New York
    • [12] T. Ng and S. Chang, Passive-blind image forensics, in Multimedia Security Technologies for Digital Rights, W. Zeng, H. Yu and C. Lin (Eds.), Academic Press, New York, pp. 383–412, 2006.
    • (2006) Multimedia Security Technologies for Digital Rights , pp. 383-412
    • Ng, T.1    Chang, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.