Any solution to automatically understanding images and videos on a
semantic level will have an immediate impact on a wide range of
applications. For example:
Semantic-level image and video access is highly relevant for visual
search on the Web, in professional archives and personal
Visual data organization is applicable to organizing family photo
and video albums as well as to large-scale information retrieval.
Visual object recognition has potential applications ranging from
surveillance, service robotics for assistance in day-to-day
activities as well as the medical domain.
Action recognition is highly relevant to visual surveillance,
assisted driving and video access.
Real-time scene understanding is relevant for human interaction
through devices such as HoloLens, Oculus Rift.