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International Symposium on Visual Computing

ISVC 2016: Advances in Visual Computing pp 91–100Cite as

Automatic Web Page Coloring

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10072))

Abstract

We present a new tool for automatic recoloring of web pages. Automatic application of different color palettes to web pages is essential for both professional and amateur web designers. However no existing recoloring tools provide full recoloring for web pages. To recolor web page entirely, we replace colors in .css, .html, and .svg files, and recolor images such as background and navigation elements. We create new color theme based on a color guide image provided by user. Evaluation shows a high level of satisfaction with the quality of palettes and results of recoloring. Our tool is available at http://chameleon.cs.fsu.edu/.

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Notes

  1. 1.

    https://www.google.com/patents/US20090031213.

  2. 2.

    https://www.google.com/patents/US8731289.

  3. 3.

    4561 palettes obtained from color blog Design Seeds, http://design-seeds.com/.

  4. 4.

    https://github.com/peterbe/mincss.

  5. 5.

    https://chrome.google.com/webstore/detail/css-remove-and-combine/cdfmaaeapjmacolkojefhfollmphonoh?hl=en-GB.

  6. 6.

    http://www.colorcombos.com/.

  7. 7.

    http://scikit-learn.org/stable/.

  8. 8.

    Private digital art collection of 382 images.

References

  1. Aupetit, S., Mereuta, A., Monmarché, N., Slimane, M.: Comparison of interruptible meta heuristics for automatic recoloring of web pages with an accessibility goal. In: AMSE - Advance in modelling, Handicap, 2012 revised selected papers. C Automatic Control (Theory and Applications), vol. 73, pp. 11–21 (2013)

    Google Scholar 

  2. Chang, H., Fried, O., Liu, Y., DiVerdi, S., Finkelstein, A.: Palette-based photo recoloring. ACM Trans. Graph. 34(4), 139:1–139:11 (2015)

    Article  Google Scholar 

  3. Delon, J., Desolneux, A., Lisani, J.L., Petro, A.B.: Automatic color palette. In: IEEE International Conference on Image Processing 2005, vol. 2, p. II-706-9, September 2005

    Google Scholar 

  4. Flatla, D.R., Reinecke, K., Gutwin, C., Gajos, K.Z.: SPRWeb: preserving subjective responses to website colour schemes through automatic recolouring. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2013, NY, USA, pp. 2069–2078. ACM, New York (2013)

    Google Scholar 

  5. Gu, Z., Wu, Z., Yu, J., Lou, J.: A color schemer for webpage design using interactive mood board. In: Kurosu, M. (ed.) HCI 2013. LNCS, vol. 8004, pp. 555–564. Springer, Heidelberg (2013). doi:10.1007/978-3-642-39232-0_60

    Chapter  Google Scholar 

  6. Lin, S., Hanrahan, P.: Modeling how people extract color themes from images. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2013, NY, USA, pp. 3101–3110. ACM, New York (2013)

    Google Scholar 

  7. Matsuda, Y.: Color Design. Asakura Shoten, Tokyo (1995)

    Google Scholar 

  8. Munkres, J.: Algorithms for the assignment and transportation problems. J. Soc. Ind. Appl. Math. 5(1), 32–38 (1957)

    Article  MathSciNet  MATH  Google Scholar 

  9. O’Donovan, P., Agarwala, A., Hertzmann, A.: Color compatibility from large datasets. ACM Trans. Graph. 30(4), 63:1–63:12 (2011)

    Google Scholar 

  10. Reinhard, E., Adhikhmin, M., Gooch, B., Shirley, P.: Color transfer between images. IEEE Comput. Graph. Appl. 21(5), 34–41 (2001)

    Article  Google Scholar 

  11. Xia, J.: Saliency-guided color transfer between images. In: Bebis, G., et al. (eds.) ISVC 2013. LNCS, vol. 8033, pp. 468–475. Springer, Heidelberg (2013). doi:10.1007/978-3-642-41914-0_46

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. Florida State University, Tallahassee, Florida, 32306, USA

    Polina Volkova, Soheila Abrishami & Piyush Kumar

Authors
  1. Polina Volkova
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  2. Soheila Abrishami
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  3. Piyush Kumar
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Corresponding author

Correspondence to Polina Volkova .

Editor information

Editors and Affiliations

  1. University of Nevada , Reno, Nevada, USA

    George Bebis

  2. NASA Ames Research Center , Moffett Field, California, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory , Berkeley, California, USA

    Bahram Parvin

  4. Desert Research Institute , Reno, Nevada, USA

    Darko Koracin

  5. The Australian National University , O'Malley, Aust Capital Terr, Australia

    Fatih Porikli

  6. Pilot AI Labs , Redwood City, California, USA

    Sandra Skaff

  7. University of Florida , Gainesville, Florida, USA

    Alireza Entezari

  8. Google Inc. , Mountain View, California, USA

    Jianyuan Min

  9. Osaka University , Osaka, Japan

    Daisuke Iwai

  10. The MOVES Institute , Monterey, California, USA

    Amela Sadagic

  11. University of Arizona , Tucson, Arizona, USA

    Carlos Scheidegger

  12. Université Paris-Sud , Orsay, France

    Tobias Isenberg

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© 2016 Springer International Publishing AG

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Cite this paper

Volkova, P., Abrishami, S., Kumar, P. (2016). Automatic Web Page Coloring. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2016. Lecture Notes in Computer Science(), vol 10072. Springer, Cham. https://doi.org/10.1007/978-3-319-50835-1_9

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  • DOI: https://doi.org/10.1007/978-3-319-50835-1_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50834-4

  • Online ISBN: 978-3-319-50835-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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