ExcelViZ: Automated Generation of High-Level, Adaptable Scatterplot Descriptions Based on a User Study

Author:

Engel Christin,Schmalfuß-Schwarz Jan

Publisher

Springer Nature Switzerland

Reference19 articles.

1. Lecture Notes in Computer Science;HK Ault,2002

2. Bajić, F., Job, J.: Review of chart image detection and classification. Int. J. Doc. Anal. Recogn. (2023). https://doi.org/10.1007/s10032-022-00424-5

3. Carl and Ruth Shapiro Family National Center for Accessible Media at WGBH (NCAM) in conjunction with the DIAGRAM Center (Digital Image And Graphic Resources for Accessible Materials): Image Description Guidelines (2015)

4. Demir, S., Carberry, S., McCoy, K.F.: Summarizing information graphics textually. Comput. Linguist. 38(3), 527–574 (2012)

5. Elzer, S., Schwartz, E., Carberry, S., Chester, D., Demir, S., Wu, P.: A browser extension for providing visually impaired users access to the content of bar charts on the web. In: WEBIST (2), pp. 59–66 (2007)

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