STRUCTURED REPRESENTATION AND AUTOMATIC-INDEXING OF MOVIE INFORMATION-CONTENT

The development of video applications for digital multimedia has highl ighted the need for indexing tools, enabling the access to meaningful segments of video. The high cost of manual indexing creates a demand f or the development of automatic algorithms, able to extract such indic es with little intervention. In this paper we present new editing mode l-based algorithms that automatically extract low-level features in a movie: camera shots and camera motion. Rules of him making are used to derive higher-level elements, such as shot-reverse shot sequences. Th e algorithms have been tested on 20 h of movies and comparison with te chniques in the literature is provided. (C) 1998 Pattern Recognition S ociety. Published by Elsevier Science Ltd. All rights reserved.