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Volumn 5, Issue 4, 2010, Pages 883-892

Detecting forgery from static-scene video based on inconsistency in noise level functions

Author keywords

Expectation maximization (EM) algorithm; forgery detection; maximum a posteriori (MAP) estimation; noise analysis; noise level function (NLF)

Indexed keywords

EXPECTATION-MAXIMIZATION ALGORITHMS; FORGERY DETECTIONS; MAXIMUM A POSTERIORI ESTIMATION; NOISE ANALYSIS; NOISE LEVELS;

EID: 78649415914     PISSN: 15566013     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIFS.2010.2074194     Document Type: Article
Times cited : (118)

References (20)
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    • Johnson, M.K.1    Farid, H.2
  • 8
    • 46449089083 scopus 로고    scopus 로고
    • Detecting digital image forgeries by measuring inconsistencies of blocking artifact
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    • Ye, S.1    Sun, Q.2    Chang, E.-C.3
  • 9
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    • Exposing digital forgeries in video by detecting duplication
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    • Wang, W.1    Farid, H.2
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    • Exposing digital forgeries in interlaced and deinterlaced video
    • DOI 10.1109/TIFS.2007.902661
    • W. Wang and H. Farid, "Exposing digital forgeries in interlaced and deinterlaced video", IEEE Trans. Inf. Forensics Security, vol. 2, no. 3, pp. 438-449, Sep. 2007. (Pubitemid 47290578)
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  • 18
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    • Radiometric CCD camera calibration and noise estimation
    • Mar
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.