Dynamic Scene Creation from Text

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