TV production tool to make art programmes based on a simple scenario

Akira Asada; Masaki Hayashi; Makoto J. Hirayama

doi:10.1117/12.2521298

22 March 2019 TV production tool to make art programmes based on a simple scenario

Akira Asada, Masaki Hayashi, Makoto J. Hirayama

Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 1104921 (2019) https://doi.org/10.1117/12.2521298
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

Abstract

We have been studying and developing the real-time Computer Graphics (CG) based virtual museum where a user can walk through to appreciate artworks digitized in high-resolution. Our virtual museum also has a function to automatically create TV program-like CG animations using 3D CG models in the virtual space as it is so that the user can learn about individual works by watching the art shows. The CG animation is produced with TVML (TV program Making Language) engine implemented on the virtual museum. However, the current problem is that it requires a lot of work for a developer to write the complicated TVML scripts manually. Therefore, this time we have developed a special tool to help the developer to prepare the TVML scripts easily. With this tool, the developer can produce the TVML-based art program simply by writing out a simple scenario on an ordinary text editor. In order to design this tool, TV art programs actually broadcasted are analyzed to determine the syntax of the simple scenario. Based on the analysis, we have developed the tool with TVML engine working on the Unity game Engine. We have also used this tool to imitate the broadcasted TV program to validate its usability.

Citation Download Citation

Akira Asada, Masaki Hayashi, and Makoto J. Hirayama "TV production tool to make art programmes based on a simple scenario", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 1104921 (22 March 2019); https://doi.org/10.1117/12.2521298

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