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AuthorZakraoui J.
AuthorSaleh M.
AuthorAsghar U.
AuthorAlja'am J.M.
AuthorAl-Maadeed, Somaya
Available date2022-05-19T10:23:10Z
Publication Date2020
Publication Name2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies, ICIoT 2020
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/ICIoT48696.2020.9089495
URIhttp://hdl.handle.net/10576/31118
AbstractIn this paper, we propose a new approach to generate descriptive images from simple Arabic text of stories for children to build a flexible and rich multimedia repository. To make it successful, we need to transform the actors and objects and their semantic relationships from the text in compact and structured entities. We use the scene graph representation that considers objects together with their attributes and relationships. In fact, this representation has been proven to be useful across a variety of vision and language applications. We extend, thereby the notion of image generation to our approach as the task of constructing new scenes based on a set of toolboxes and a set of generated images for common textual descriptions. Our preliminary results show that the image repository is very efficient, saving then huge storage space. Besides, the composed scenes using the generated images could be customized providing a fair understanding of the main actors/objects of the stories as well as a coherent visual layout of the scenes.
SponsorACKNOWLEDGMENT This work was made possible by NPRP grant #10-0205-170346 from the Qatar National Research Fund (a member of Qatar Foundation).
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectSemantics
Arabic texts
Image generations
Image repository
Multimedia repository
New approaches
Semantic relationships
Storage spaces
Textual description
Internet of things
TitleGenerating Images from Arabic Story-Text using Scene Graph
TypeConference Paper
Pagination469-475
dc.accessType Abstract Only


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