Getting Machines to Watch 3D for You

Mike Knee

The advantages of automatic monitoring of multiple television channels are well known. There are just not enough eyeballs for human operators to see everything that is going on. With the advent of stereoscopic three-dimensional (3D) material in mainstream television production and distribution, the benefits of automatic monitoring are even greater because 3D viewing is even less conducive to manual monitoring. This paper provides a comprehensive introduction to a wide range of automatic monitoring possibilities for 3D video. There are significant algorithmic challenges involved in some of these tasks, often involving careful high-level analysis of picture content. Further challenges arise from the need for monitoring to be robust to the typical processing undergone by video signals in a broadcast chain. This paper presents the results of algorithm research into some high-level automatic 3D monitoring challenges, which can help to save human eyeballs to enjoy the 3D experience.

Print ISSN
Electronic ISSN
2160-2492
Published
2012-04
Content type
Original Research
DOI
10.5594/j18162