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Volumn , Issue , 2004, Pages 56-63

An adaptive skin model and its application to objectionable image filtering

Author keywords

Gaussian Mixture Model; Objectionable Image Filtering; Skin Detection; SVM

Indexed keywords

ADAPTIVE FILTERING; ALGORITHMS; COLOR; COMPUTER SIMULATION; DATABASE SYSTEMS; MARKOV PROCESSES; SKIN; VECTORS;

EID: 13444253938     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1027527.1027538     Document Type: Conference Paper
Times cited : (53)

References (17)
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    • Estimation and prediction of evolving color distributions for skin segmentation under varying illumination
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    • (2000) Proc. IEEE Computer Vision and Pattern Recognition. (CVPR 2000) , pp. 152-159
    • Sigal, L.1    Sclaroff, S.2    Athitsos, V.3
  • 7
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    • System for screening objectionable images using daubechies wavelets and color histograms
    • Springer-Verlag LNCS, Sept., Darmstadt, Germany
    • J. Wang, J. Li, G. Wiederhold and O. Firschein. System for Screening Objectionable Images Using Daubechies Wavelets and Color Histograms. Proc. Interactive Distributed Multimedia Systems (IDMS'97), Volume 1309, Springer-Verlag LNCS, pp. 20-30, Sept. 1997, Darmstadt, Germany.
    • (1997) Proc. Interactive Distributed Multimedia Systems (IDMS'97) , vol.1309 , pp. 20-30
    • Wang, J.1    Li, J.2    Wiederhold, G.3    Firschein, O.4
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    • Statistical color models with application to skin detection
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    • M.J. Jones, J.M. Rehg. Statistical Color Models with Application to Skin Detection. Technical Report, Cambridge Research Lab., 1998.
    • (1998) Technical Report
    • Jones, M.J.1    Rehg, J.M.2
  • 11
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    • Comparative performance of different skin chrominance models and chrominance spaces for the automatic detection of human faces in color images
    • Mar., Grenoble, France
    • J.C. Terrillon, M.N. Shirazi, H. Fukamachi, and S. Akamatsu. Comparative Performance of Different Skin Chrominance Models and Chrominance Spaces for the Automatic Detection of Human Faces in Color Images. Proc. IEEE Intl. Conf. on Face and Gesture Recognition (FG 2000), pp. 54-61, Mar. 2000, Grenoble, France
    • (2000) Proc. IEEE Intl. Conf. on Face and Gesture Recognition (FG 2000) , pp. 54-61
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    • A gentle tutorial of the EM algorithm and its application to parameter estimation for gaussian mixture and hidden markov models
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    • J. Bilmes. A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models. Technical Report 97-021, Intl. Computer Science Institute, Univ. of California, Berkeley, Apr. 1998.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.