Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1441
Title: Snap & Hear: Comic Book Analyst for Children Having Literacy and Visual Barriers
Authors: Yapa, R. B. D
Kahaduwa Arachchi, T. L
Suriyarachchi, V. S
Abegunasekara, U. D
Thelijjagoda, S
Keywords: Comics
Visual and Literacy Barriers
Recognition
Association
Image Processing
Machine Learning
Audio Story
Issue Date: 2020
Publisher: CSEDU 2020 - 12th International Conference on Computer Supported Education
Series/Report no.: J. Multim. Process. Technol.;Vol 11 Issue 1 Pages 1-10
Abstract: Comic books are very popular across the world due to the unique experience they provide for all of us in the society without any age limitation. Because of this attraction, which comic books have received, it has proved that comic literature will be able to survive in the twenty first century, even with the existence of multidimensional movie theatres as its competitors. While the biggest global filmmakers are busy with making movies from comic books, many researchers have been investigating their time on digitizing the comic stories as it is, expecting to create a new era in the comic world. But most of them have focused only on one or few components of the story. This paper is based on a research which aims to give the full experience of enjoying the comic books for everyone in the world despite of visual and literacy barriers people are having. Proposed solution comes as a web application that translates input image of a comic story into a text format and delivers it as an audio story to the user. The story will be created using extracted components such as characters, objects, speech text and balloons and considering the association among them with the use of image processing and deep learning technologies.
URI: http://rda.sliit.lk/handle/123456789/1441
ISBN: 978-989-758-417-6
Appears in Collections:Department of Information Management-Scopes
Research Papers
Research Papers - Dept of Information of Management
Research Papers - SLIIT Staff Publications

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