Depth map enhancement with interaction in 2D-to-3D video conversion

Abstract

The demand for 3D video content is growing. Conventional 3D video creation approaches need certain devices to take the 3D videos or lots of people to do the labor-intensive depth labeling work. To reduce the manpower and time consumption, many automatic approaches has been developed to convert legacy 2D videos into 3D. However, due to the strict quality requirements in video production industry, most of the automatic conversion methods are suffered from many quality issues and could not be used in the actual production. As a result manual or semi-automatic 3D video generation approaches are still mainstream 3D video generation technologies. In our project, we took advantage of an automatic video generation method and tried to apply human-computer interactions in its process procedure [1] in the aim to find a balance between time efficiency and depth map generation quality. The novelty of the paper relies on the successful attempt on improving an automatic 3D video generation method in the angle of video and film industry.