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Volumn 15, Issue , 2008, Pages 398-406

Color image watermarking scheme based on efficient preprocessing and support vector machines

Author keywords

Block based digital robust watermarking; Color image watermarking; Intellectual property rights; Support vector machines

Indexed keywords

COLOR; COMPUTATION THEORY; INTELLIGENT COMPUTING; LAWS AND LEGISLATION; PIXELS; SUPPORT VECTOR MACHINES; VECTORS; WATERMARKING;

EID: 78049527280     PISSN: 18650929     EISSN: 18650937     Source Type: Book Series    
DOI: 10.1007/978-3-540-85930-7_51     Document Type: Conference Paper
Times cited : (4)

References (14)
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    • Color Image Watermark Extraction Based on Support Vector Machines
    • Tsai, H.H., Sun, D.W.: Color Image Watermark Extraction Based on Support Vector Machines. Information Sciences 177, 550–569 (2007)
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    • Tsai, H.H.1    Sun, D.W.2
  • 5
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    • Application Research on Support Vector Machine in Image Watermarking
    • Li, C.H., Lu, Z.D.: Application Research on Support Vector Machine in Image Watermarking. Neural networks and Brain, 1129–1134 (2005)
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    • Li, C.H.1    Lu, Z.D.2
  • 6
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    • Genetic Watermarking Based on Transform-domain Techniques
    • Shieh, C.S., Huang, H.C., Wang, F.H.: Genetic Watermarking Based on Transform-domain Techniques. Pattern Recognition, 555–565 (2003)
    • (2003) Pattern Recognition , pp. 555-565
    • Shieh, C.S.1    Huang, H.C.2    Wang, F.H.3
  • 7
    • 0035277035 scopus 로고    scopus 로고
    • Digital Watermarking Based on Neural Networks for Color Images
    • Yu, P.T., Tsai, H.H., Lin, J.S.: Digital Watermarking Based on Neural Networks for Color Images. Signal Processing 81, 663–671 (2001)
    • (2001) Signal Processing , vol.81 , pp. 663-671
    • Yu, P.T.1    Tsai, H.H.2    Lin, J.S.3
  • 8
    • 43049171623 scopus 로고    scopus 로고
    • Machine Learning Based Adaptive Watermark Decoding in View of Anticipated Attack
    • Khan, A., Tahir, S.F., Majid, A., Choi, T.S.: Machine Learning Based Adaptive Watermark Decoding in View of Anticipated Attack. Pattern Recognition, 2594–2610 (2008)
    • (2008) Pattern Recognition , pp. 2594-2610
    • Khan, A.1    Tahir, S.F.2    Majid, A.3    Choi, T.S.4
  • 9
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    • Support Vector Classification with Parameter Tuning Assisted by Agent-based Technique
    • Kulkarni, A., Jayaraman, V.K., Kulkarni, B.D.: Support Vector Classification with Parameter Tuning Assisted by Agent-based Technique. Computers and Chemical Engineering 28, 311– 318 (2004)
    • (2004) Computers and Chemical Engineering , vol.28
    • Kulkarni, A.1    Jayaraman, V.K.2    Kulkarni, B.D.3
  • 12
    • 16244362685 scopus 로고    scopus 로고
    • Bio-medical Entity Extraction Using Support Vector Machines
    • Takeuchi, K., Collier, N.: Bio-medical Entity Extraction Using Support Vector Machines. Artificial Intelligence in Medicine 33(2), 125–137 (2003)
    • (2003) Artificial Intelligence in Medicine , vol.33 , Issue.2 , pp. 125-137
    • Takeuchi, K.1    Collier, N.2
  • 13
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    • A Hybrid SARIMA and Support Vector Machines in Forecasting the Production Values of the Machinery Industry in Taiwan
    • Chen, K.Y., Wang, C.H.: A Hybrid SARIMA and Support Vector Machines in Forecasting the Production Values of the Machinery Industry in Taiwan. Expert Systems with Applications 32(1), 254–264 (2007)
    • (2007) Expert Systems with Applications , vol.32 , Issue.1 , pp. 254-264
    • Chen, K.Y.1    Wang, C.H.2
  • 14
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    • A Decision Support System Based on Support Vector Machines for Diagnosis of the Heart Valve Diseases
    • Çomak, E., Arslan, A., Türkoğlu, İ.: A Decision Support System Based on Support Vector Machines for Diagnosis of the Heart Valve Diseases. Computers in Biology and Medicine 37(1), 21–27 (2007)
    • (2007) Computers in Biology and Medicine , vol.37 , Issue.1 , pp. 21-27
    • Çomak, E.1    Arslan, A.2    Türkoğlu, İ.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.