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Accessible image search for colorblindness

Published: 22 October 2010 Publication History

Abstract

This article introduces an intelligent system that accommodates colorblind users in image search. Color plays an important role in the human perception and recognition of images. However, there are about 8% of men and 0.8% of women suffering from colorblindness. We show that the existing image search techniques cannot provide satisfactory results for these users since many images will not be well perceived by them due to the loss of color information. To deal with this difficulty, we introduce a system named Accessible Image Search (AIS) to accommodate these users. Different from the general image search scheme that aims at returning more relevant results, AIS further takes into account the colorblind accessibilities of the returned results, that is, the image qualities in the eyes of colorblind users. The system contains three components: accessibility assessment, accessibility improvement, and color indication. The accessibility assessment component measures the accessibility scores of images, and consequently different reranking methods can be performed to prioritize images with high accessibilities. In the accessibility improvement component, we propose an efficient recoloring algorithm to modify the colors of the images such that they can be better perceived by colorblind users. Color indication aims to indicate the name of the interesting color in an image. We evaluate the introduced system with more than 60 queries and 20 anonymous colorblind users, and the empirical results demonstrate its effectiveness and usefulness.

References

[1]
Andronico, P., Buzzi, M., Castillo, C., and Leporini, B. 2006. Improving search engine interfaces for blind users: a case study. Int. J. Universal Access Inform. Soc. 5, 1.
[2]
Arrue, M. and Vigo, M. 2007. Considering web accessibility in information retrieval systems. In Proceedings of the International Conference on Web Engineering.
[3]
Azzopardi, L., Glassey, R., Lalmas, M., Polajnar, T., and Ruthven, I. 2009. Puppyir: Designing an open source framework for interactive information services for children. In Proceedings of the Annual Workshop on Human-Computer Interaction and Information Retrieval.
[4]
Brettel, H., Vienot, F., and Mollon, J. 1997. Computerized simulation of color appearance for dichromats. J. Optical Soc. Amer. 14, 10.
[5]
CIE 1995. Industrial colour-difference evaluation. Tech rep. CIE 116-1995.
[6]
Evans, R. M. 1948. An Introduction to Color. Wiley.
[7]
Fajardo, I., Canas, J. J., Salmeron, L., and Abascal, J. 2006. Improving deaf users accessibility in hyptertext information retrieval: are graphical interfaces useful for them? Behavior Inform. Technol. 26, 6.
[8]
Hess, R. B. 1996. Colors by name. MSDN Online Web Workshop.
[9]
Hua, M., Pei, J., Fu, A., Lin, X., and Leung, H. F. 2007. Efficiently answering top-k typicality queries on large databases. In Proceedings of the International Conference on Very Large Databases.
[10]
Huang, J. B., Tseng, Y. C., Wu, S. I., and Wang, S. J. 2007. Information preserving color transformation for protanopia and deuteranopia. IEEE Signal Process. Lett. 14, 10.
[11]
Huang, J. B., Wu, S. Y., and Chen, C. S. 2008. Enhancing color representation for the color vision impaired. In Proceedings of the ECCV Workshop on Computer Vision Applications for the Visually Impaired.
[12]
Iaccarino, G., Malandrino, D., Percio, M. D., and Scarano, V. 2006. Efficient edge-services for colorblind users. In Proceedings of the International World Wide Web Conference.
[13]
Jarvelin and Kekalainen, J. 2002. Cumulated gain-based evaluation of ir techniques. ACM Trans. Inform. Syst. 20, 4.
[14]
Jefferson, L. and Harvey, R. 2006. Accommodating color blind computer users. In Proceedings of the ACM Conference on Computers and Accessibility.
[15]
Jefferson, L. and Harvey, R. 2007. An interface to support color blind computer users. In Proceedings of SIGCHI.
[16]
Jing, Y. and Baluja, S. 2008a. Pagerank for product image search. In Proceedings of the International World Wide Web Conference.
[17]
Jing, Y. and Baluja, S. 2008b. Pagerank for product image search. In Proceedings of the International World Wide Web Conference.
[18]
Kovalev, V. A. 2004. Towards image retrieval for eight percent of color-blind men. In Proceedings of the International Conference on Image Processing.
[19]
Lew, M. S., Sebe, N., Djeraba, C., and Jain, R. 2006. Content-based multimedia information retrieval: state of the art and challenges. ACM Trans. Multimedia Comput. Comm. Appl.
[20]
Moreno, L., Martinez, P., and Ruiz-Mezcua, B. 2008. Disability standards for multimedia on the web. IEEE Multimedia 15, 4.
[21]
Pappas, T. N. and Safranek, R. J. 2000. Perceptual Criteria for Image Quality Evaluation, Handbook of Image and Video Processing. Academic Press.
[22]
Rasche, K., Geist, R., and Westall, J. 2005. Re-coloring images for gamuts of lower dimension. In Proceedings of Eurographics.
[23]
Smeulders, A. W., Worring, M., Santini, S., Gupta, A., and Jain, R. 2000. Content based image retrieval at the end of the early years. IEEE Trans. Patt. Anal. Mach. Intell. 22, 12.
[24]
Vapnik, V. 1995. The Nature of Statistical Learning Theory. Springer.
[25]
Wakita, K. and Shimamura, K. 2005. Smart color: disambiguation framework for the colorblind. In Proceedings of the ACM Conference on Computers and Accessibility.
[26]
Wandell, B. A. 1995. Foundations of Vision. Sinauer Associates.
[27]
Wang, M., Liu, B., and Hua, X. S. 2009. Accessible image search. In Proceedings of ACM Multimedia Conference.
[28]
Wang, Z. and Bovik, A. C. 2006. Modern Image Quality Assessment. Morgan & Claypool Publishers.
[29]
Wang, Z., Bovik, A. C., Sheikh, H. R., and Simoncelli, E. P. 2004. Image quality assessment: from effort visibility to structural similarity. IEEE Trans. Image Process. 13, 4.
[30]
Winkler, S. 1999. Issues in vision modeling for perceptual video quality assessment. Signal Process. 78.
[31]
Yang, S. and Ro, Y. M. 2003. Visual content adaptation for color vision deficiency. In Proceedings of the International Conference on Image Processing.
[32]
Yang, S., Ro, Y. M., Wong, E. K., and Lee, J. H. 2008a. Quantification and standardized description of color vision deficiency caused by anomalous trichromats-part i: simulation and measurement. EURASIP J. Image Video Process. 1.
[33]
Yang, S., Ro, Y. M., Wong, E. K., and Lee, J. H. 2008b. Quantification and standardized description of color vision deficiency caused by anomalous trichromats-part ii: modeling and color compensation. EURASIP J. Image Video Process. 1.
[34]
Zhou, Z. H. and Dai, H. B. 2007. Exploring image contents in web search. In Proceedings of the International Conference on Artificial Intelligence.

Cited By

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  • (2024)How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods studyInternational Journal of Production Economics10.1016/j.ijpe.2023.109064267(109064)Online publication date: Jan-2024
  • (2021)Auxiliary Glasses Designed for Visually Impaired People with Color Blindness and Regional Visual Impairments2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)10.1109/IC-NIDC54101.2021.9660527(274-278)Online publication date: 17-Nov-2021
  • (2021)Image recoloring for color vision deficiency compensation: a surveyThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-021-02240-037:12(2999-3018)Online publication date: 1-Dec-2021
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Information & Contributors

Information

Published In

cover image ACM Transactions on Intelligent Systems and Technology
ACM Transactions on Intelligent Systems and Technology  Volume 1, Issue 1
October 2010
117 pages
ISSN:2157-6904
EISSN:2157-6912
DOI:10.1145/1858948
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 October 2010
Accepted: 01 May 2010
Revised: 01 March 2010
Received: 01 January 2010
Published in TIST Volume 1, Issue 1

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  1. Image search
  2. colorblindness

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Cited By

View all
  • (2024)How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods studyInternational Journal of Production Economics10.1016/j.ijpe.2023.109064267(109064)Online publication date: Jan-2024
  • (2021)Auxiliary Glasses Designed for Visually Impaired People with Color Blindness and Regional Visual Impairments2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)10.1109/IC-NIDC54101.2021.9660527(274-278)Online publication date: 17-Nov-2021
  • (2021)Image recoloring for color vision deficiency compensation: a surveyThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-021-02240-037:12(2999-3018)Online publication date: 1-Dec-2021
  • (2019)Recoloring Algorithms for Colorblind PeopleACM Computing Surveys10.1145/332911852:4(1-37)Online publication date: 30-Aug-2019
  • (2017)Improving the freshness of the search engines by a probabilistic approach based incremental crawlerInformation Systems Frontiers10.1007/s10796-016-9701-719:5(1013-1028)Online publication date: 1-Oct-2017
  • (2016)A validation study regarding a generative approach in choosing appropriate colors for impaired usersSpringerPlus10.1186/s40064-016-2659-65:1Online publication date: 15-Jul-2016
  • (2016)Binary code reranking method with weighted hamming distanceMultimedia Tools and Applications10.1007/s11042-014-2087-y75:3(1391-1408)Online publication date: 1-Feb-2016
  • (2014)Web video thumbnail recommendation with content-aware analysis and query-sensitive matchingMultimedia Tools and Applications10.1007/s11042-013-1607-573:1(547-571)Online publication date: 1-Nov-2014
  • (2013)A skillet-based recoloring algorithm for dichromats2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013)10.1109/HealthCom.2013.6720766(702-706)Online publication date: Oct-2013
  • (2012)Optimizing social image search with multiple criteriaNeurocomputing10.1016/j.neucom.2011.05.04095(40-47)Online publication date: 1-Oct-2012
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