Automatic Description of SVG Images for the Visually Impaired: A Gestaltic Approach

Author:

Carvalho Vítor,Freitas Diamantino

Publisher

Elsevier BV

Subject

General Engineering

Reference21 articles.

1. Pun T, Roth P, Bologna G, Moustakas K, Tzovaras D. Image and video processing for visually handicapped people. Journal on Image and Video Processing 2007: 12.

2. SAEDUP. Serviço de Apoio ao Estudante com Deficiência da Universidade do Porto [online]. 2013. Available from: URL: http://sdi.letras.up.pt/default.aspx?pg=saedup02.ascx&m=11.

3. W3C. Scalable Vector Graphics (SVG) 1.1 (Second Edition) [online]. 2011. Available from: URL: http://www.w3.org/TR/2011/REC-SVG11-20110816/.

4. Carvalho V, Freitas D. Converting SVG Images to Text and Speech. In: Proceedings of the International Conference on Enabling Access for Persons with Visual Impairment: 2015 Feb 12-14; Athens, Greece. Athens: National and Kapodistrian University of Athens; 2015.

5. Ordonez V, Kulkarni G, Berg TL. Im2Text: Describing Images Using 1 Million Captioned Photographs. Advances in Neural Information Processing Systems 2011: 1143-1151.

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