Computer 'Trained' to Classify Pictures and Videos Basing on Elements They Contain

From ScienceDaily (Oct. 13, 2010):

University of Granada researchers have developed a new computer technique that allows to "train" computers to interpret the visual contents of a video or picture. This advance will allow to classify automatically pictures basing on whether individuals or specific objects are present in such images. Videos can also be classified according to specific poses.

Apart from detecting individuals in TV video/film shots, this new technique allows to estimate the position of upper limbs (head, chest, arms and forearms) and the automatic classification of video scenes where people appear in a specific pose. Human actions such as walking, jumping, bending down, etc. can also be detected in video sequences. [read more]

Interesting. Just to have the pgm recognize images in pictures is hard enough, but have it recognize images in videos is impressive.