TITLE:
Hyper 360—Towards a Unified Tool Set Supporting Next Generation VR Film and TV Productions
AUTHORS:
Barnabas Takacs, Zsuzsanna Vincze, Hannes Fassold, Antonis Karakottas, Nikolaos Zioulis, Dimitrios Zarpalas, Petros Daras
KEYWORDS:
Deep Learning, Tensor Flow, YoloV3, 360˚ Video, Virtual Reality, Free Viewpoint Video, Quality Control, Automatic Cinematography, Multi-Camera Systems
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.12 No.5,
May
27,
2019
ABSTRACT: We describe four fundamental challenges that complex real-life Virtual Reality (VR) productions are facing today (such as multi-camera management, quality control, automatic annotation with cinematography and 360˚depth estimation) and describe an integrated solution, called Hyper 360, to address them. We demonstrate our solution and its evaluation in the context of practical productions and present related results.