Date of Award

10-18-2019

Publication Type

Master Thesis

Degree Name

M.Sc.

Department

Computer Science

First Advisor

Imran Ahmad

Keywords

text to scene generation, 3D animation, multimedia, computer graphics, spatial relations, bounding box

Rights

info:eu-repo/semantics/openAccess

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Abstract

Visual information is an integral part of our daily life. Typically, it tends to convey more information than simple textual information. A visual depiction of a textual story, as an animation or video, provides a more engaging and realistic experience and can be used in different applications. Examples of such applications include but are not limited to education, advertisement, crime scene investigation, forensic analysis of a crime, treatment of different types of mental and psychological disorders, etc. Manual 3D scene creation is a time-consuming process and requires expertise of individuals familiar with the content creation environment. Automatic scene generation using textual description and a library of developed components offers a quick and easy alternative for manual scene representation and proof of concept ideas. In this thesis, we propose a scheme for extraction of objects of interest and their spatial relationships from a user-provided textual description to create a 3D dynamic scene and animation to make it more realistic.

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