RT Journal Article
T1 Readability of Non-text Images on the World Wide Web (WWW)
A1 Elahi, Ehsan
A1 Iglesias Maqueda, Ana María
A1 Morato Lara, Jorge Luis
AB The World Wide Web associated the world in a manner that was unrealistic previously and made it a lot more straightforward for users to get data, share and impart. But, irrelevant non-text images on the web pages equally specify poor readability, disrupting the people from the emphasis of the reading. The main goal of this paper is to evaluate the impact of irrelevant or low-quality non-text images on the readability of the webpage. An automatic methodology has been proposed to compute the relevancy of the non-text images. This methodology merges different approaches to extract information from non-text images and read text from websites in order to find relevancy between them. This technique was used to analyze fifty different educational websites to automatically find the relevancy of their non-text images. A user study has been carried out to evaluate the proposed methodology with different types of questions. The results agree with the fact that the relevant non-text images enhance the readability of the web page. This research work will help web designers to improve readability by considering only the relevant content of a web page, without relying on expert judgment.
PB IEEE
YR 2022
FD 2022-11-01
LK https://hdl.handle.net/10016/38324
UL https://hdl.handle.net/10016/38324
LA eng
NO This work was supported in part by the Spanish Ministry of Economy, Industry and Competitiveness under Grant CSO2017-86747-R, in part by the Andalusia Regional Projects under Grant AT17-5509-UMA ``ROSI'' and Grant UMA18-FEDERJA-074 ``ITERA,'' and in part by the European art83 under Contract 8.06/5.58.5900 DIH-HERO ``SUSTAIN.''
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RD 18 jul. 2024