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A Tool for Ranking and Enhancing Aesthetic Quality of Paintings

  • Conference paper
Signal Processing, Image Processing and Pattern Recognition (SIP 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 260))

Abstract

Measuring aesthetic value of an artwork is a significant task in the field of visual & performing arts. Artists follow several techniques manually using traditional methods to balance the visual aesthetic value of different aesthetic products such as a film, a drama, a painting etc. Today, artists are enthusiastic on emerging information technology techniques for judgment and enhancement of designed product aesthetically and efficiently while applying traditional concepts to design initial form of the artwork. Computational aesthetics is the research of computational methods that do make applicable aesthetic decisions in a similar fashion as human can. This paper introduces a new tool that can be used to rank a given digital image of paintings based on a common parameter set with their weighting factors which are supposed to be adjusted for changing the aesthetic level of a particular painting in the area of computational aesthetics.

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References

  1. Wickramasinghe, W.A.P., Dharmarathne, A.T., Kodikara, N.D.: A mathematical model for computational aesthetics. In: Proceedings of the International Conference on Computational Vision & Robotics (ICCVR 2010), Bhubaneswar, India, pp. 130–137 (2010)

    Google Scholar 

  2. Li, C., Chen, T.: Aesthetic Visual Quality Assessment of Paintings. IEEE Journal of Selected Topics in Signal Processing, 3(2) (2009)

    Google Scholar 

  3. Kalwick, W.J.: Painting archives, http://www.kalwick.com

  4. Potter, J.: Painting archives, http://www.johnpotter.com

  5. Saaty, T.L.: The analytic Hierarchy Process. McGraw-Hill, New York (1980)

    MATH  Google Scholar 

  6. Birkhoff, G.D.: Aesthetic Measure. Harvard University Press, Cambridge (1933)

    Book  MATH  Google Scholar 

  7. Goldman: Aesthetic value, Westview Press, Colorado (1995)

    Google Scholar 

  8. Tools, Canadian Conservation Institute, http://www.cci-icc.gc.ca/tools/ahp/index_e.asp

  9. NetBeans IDE 7.0, http://netbeans.org/

  10. ImageJ: Image Processing and analysis in java, http://rsbweb.nih.gov/ij/download.html

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Author information

Authors and Affiliations

  1. Faculty of Visual Arts, University of the Visual & Performing Arts, No. 46, Horton Place, Colombo, 07, Sri Lanka

    W. A. P. Wickramasinghe

  2. School of Computing, University of Colombo, No: 35, Reid Avenue, Colombo, 07, Sri Lanka

    Anuja T. Dharmaratne & N. D. Kodikara

Authors
  1. W. A. P. Wickramasinghe
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  2. Anuja T. Dharmaratne
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  3. N. D. Kodikara
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Editor information

Editors and Affiliations

  1. Multimedia Engineering Department, Hannam University, 133 Ojeong-dong, Daeduk-gu, Daejeon, Korea

    Tai-hoon Kim

  2. The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, 43210-1275, Columbus, OH, USA

    Hojjat Adeli

  3. University of Porto, 4099-002, Porto, Portugal

    Carlos Ramos

  4. School of Computing and Information Systems, University of Tasmania, Hobart, TAS, Australia

    Byeong-Ho Kang

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© 2011 Springer-Verlag Berlin Heidelberg

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Wickramasinghe, W.A.P., Dharmaratne, A.T., Kodikara, N.D. (2011). A Tool for Ranking and Enhancing Aesthetic Quality of Paintings. In: Kim, Th., Adeli, H., Ramos, C., Kang, BH. (eds) Signal Processing, Image Processing and Pattern Recognition. SIP 2011. Communications in Computer and Information Science, vol 260. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27183-0_27

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  • DOI: https://doi.org/10.1007/978-3-642-27183-0_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27182-3

  • Online ISBN: 978-3-642-27183-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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