Video Content Management

In today’s world of ever increasing availability of video and image content, the need for automatic annotation and interpretation of this data is becoming a serious issue. Technology is available for detection of objects, scenes, movements and styles, making large archives of data accessible once again.

An example:

A large video archive has to be made accessible and searchable by scene type. Machine vision technology is used to interpret the content fully automatically and is able to extract the scene settings (indoor, beach, city,..) and objects (people, cars, the White House, logos,…).

• Enormous reduction in labor cost; no manual annotation is needed.
• Easily extendable, a new search category can be added with little effort.
• Better temporal resolution, an object only has to be visible a single frame of a video to be detected.