Content based annotation and retrieval of news videos
Marco Bertini, Alberto Del Bimbo, Pietro Pala · 2002
Effective retrieval and browsing by content of videos is based on high level information associated with visual data. Automatic extraction of high level content descriptors, requires to exploit the semantical characteristics of video types. In this paper a complete system for content based annotation and retrieval of news videos is presented, indexing of the video stream is fully automated and is based both on visual features extracted from video shots and on textual strings extracted from captions and speech.