Abstract
Currently, web accessibility is not a major concern of webmasters while creating web sites. For disabled people, it rapidly becomes an obstacle to inclusion in the society. Identifying and circumventing existing barriers constitute an important research topic. In this work, we are concerned with the problem of color accessibility of textual contents in web pages. In many cases, the textual colors of a web page do not respect the minimum constraints defined by recommendations like WCAG 2.0. For example, WCAG 2.0 requires that a minimum difference of brightness, tonality and contrast is ensured. Using the Smart Web Accessibility Platform, we try to transform the colors using a client-side HTTP proxy the best possible while retaining a reasonable access time for the web content. To solve the textual color problem for accessibility, we adapt two swarm intelligence based optimization methods (ABC and API) and we hybridize them with a line search.
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References
République Française: Loi n\(^\circ \)2005-102 du 11 février 2005 pour l’égalité des droits et des chances, la participation et la citoyenneté des personnes handicapées. JO n\(^\circ \) 36 du 12 février 2005, p. 2353 (2005)
Colas, S., Monmarché, N., Burger, D., Slimane, M.: A web site migration support tool to reach european accessibility standards. In: 9th European Conference for the Advancement of Assistive Technology in Europe, vol. 20 of Assistive Technology Research Series, San Sebastian (Spain), pp. 907–911 (october 2007)
Aupetit, Sébastien, Rouillé, Vincent: Annotation Tool for the Smart Web Accessibility Platform. In: Miesenberger, Klaus, Fels, Deborah, Archambault, Dominique, Peňáz, Petr, Zagler, Wolfgang (eds.) ICCHP 2014, Part I. LNCS, vol. 8547, pp. 93–100. Springer, Heidelberg (2014)
Mereuţă, Alina, Aupetit, Sébastien, Slimane, Mohamed: Improving Web Accessibility for Dichromat Users through Contrast Preservation. In: Miesenberger, Klaus, Karshmer, Arthur, Penaz, Petr, Zagler, Wolfgang (eds.) ICCHP 2012, Part I. LNCS, vol. 7382, pp. 363–370. Springer, Heidelberg (2012)
Aupetit, Sébastien, Mereuţă, Alina, Slimane, Mohamed: Automatic Color Improvement of Web Pages with Time Limited Operators. In: Miesenberger, Klaus, Karshmer, Arthur, Penaz, Petr, Zagler, Wolfgang (eds.) ICCHP 2012, Part I. LNCS, vol. 7382, pp. 355–362. Springer, Heidelberg (2012)
Mereuta, A., Aupetit, S., Monmarché, N., Slimane, M.: Web page textual color contrast compensation for CVD users using optimization methods. Journal of Mathematical Modelling and Algorithms in Operations Research (October 2013). http://link.springer.com/10.1007/s10852-013-9239-3
Mereuta, A., Aupetit, S., Monmarché, N., Slimane, M.: An evolutionary approach to contrast compensation for dichromat users. In: Legrand, P., Corsini, M.M., Hao, J.K., Monmarché, N., Lutton, E., Schoenauer, M., eds.: EA 2013. LNCS 8752. pp. 239–250. Springer, Heidelberg (2013)
Karaboga, D., Gorkemli, B., Ozturk, C., Karaboga, N.: A comprehensive survey: artificial bee colony (ABC) algorithm and applications. Artificial Intelligence Review (March 2012). http://link.springer.com/10.1007/s10462-012-9328-0
Karaboga, D.: An idea based on honey bee swarm for numerical optimization. Technical Report TR06, Erciyes University, Engineering Faculty Computer Engineering Department, Kayseri/Türkiye (October 2005)
Monmarché, N.: Algorithmes de fourmis artificielles : applications à la classification et à l’optimisation. Thèse de doctorat, Laboratoire d’Informatique de l’Université François Rabelais Tours (December 20, 2000)
Fresneau, D.: Individual foraging and path fidelity in a ponerine ant. Insectes Sociaux, Paris 32(2), 109–116 (1985)
Fresneau, D.: Biologie et comportement social d’une fourmi ponérine néotropicale (Pachycondyla apicalis). Thèse d’état, Université de Paris XIII, Laboratoire d’Ethologie Expérimentale et Comparée, France (1994)
Aupetit, S., Monmarché, N., Slimane, M.: Training hidden Markov models using the API ant algorithm. In: Artificials ants: from Collective Intelligence to Real-Life Optimization and Beyond. ISTE, Wiley (2010) ISBN 9781848211940
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Aupetit, S., Monmarché, N., Slimane, M. (2014). Comparison of Two Swarm Intelligence Optimization Algorithms on the Textual Color Problem for Web Accessibility. In: Siarry, P., Idoumghar, L., Lepagnot, J. (eds) Swarm Intelligence Based Optimization. ICSIBO 2014. Lecture Notes in Computer Science(), vol 8472. Springer, Cham. https://doi.org/10.1007/978-3-319-12970-9_10
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DOI: https://doi.org/10.1007/978-3-319-12970-9_10
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