Paper
14 March 2005 Translating statistical images to text summaries for partially sighted persons on mobile devices: iconic image maps approach
Author Affiliations +
Proceedings Volume 5684, Multimedia on Mobile Devices; (2005) https://doi.org/10.1117/12.596877
Event: Electronic Imaging 2005, 2005, San Jose, California, United States
Abstract
This paper attempts to demonstrate a novel based idea for transforming statistical image data to text using autoassociative and unsupervised artificial neural network and iconic image maps using the shape and texture genetic algorithm, underlying concepts translating the image data to text. Full details of experiments could be assessed at http://www.uel.ac.uk/seis/applications/.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Godfried B. Williams "Translating statistical images to text summaries for partially sighted persons on mobile devices: iconic image maps approach", Proc. SPIE 5684, Multimedia on Mobile Devices, (14 March 2005); https://doi.org/10.1117/12.596877
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KEYWORDS
Neural networks

Data modeling

Mobile devices

Java

Evolutionary algorithms

Genetic algorithms

Image processing

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