| Conference |
| Type of Publication |
| Automatic Recogition of Film Genres |
| Title |
|
|
| Authors |
| Proc. ACM Multimedia 95, pp.
295-304, San Francisco, CA, 1995 |
| Published in |
| Film genres in digital video can be detected
automatically. In a three-step approach we analyze first the
syntactic properties of digital films: color statistics, cut
detection, camera motion, object motion and audio. In a second
step we use these statistics to derive at a more abstract level
film style attributes such as camera panning and zooming, speech
and music. These are distinguishing properties for film genres,
e.g. newscasts vs. sports vs. commercials. In the third and final
step we map the detected style attributes to film genres.
Algorithms for the three steps are presented in detail, and we
report on initial experience with real videos. It is our goal to
automatically classify the large body of existing video for
easier access in digital video-on-demand databases. |
| Abstract |
|
| Projects |
| [PDF]
[BIB] [XML] |
| Downloads & Bib-Entries |
