Automatic Recognition of Film Genres:
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 s...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Abschlussarbeit Elektronisch E-Book |
| Sprache: | German |
| Veröffentlicht: |
1995
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 14 S. |
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| 520 | |a 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 | ||
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Datensatz im Suchindex
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| indexdate | 2024-07-10T10:03:29Z |
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| spelling | Fischer, Stefan Verfasser aut Automatic Recognition of Film Genres Stefan Fischer ; Rainer Lienhart ; Wolfgang Effelsberg 1995 14 S. txt rdacontent c rdamedia cr rdacarrier Mannheim, Univ., Inst. f. Informatik, Technical Report TR-1995-006 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 (DE-588)4113937-9 Hochschulschrift gnd-content Lienhart, Rainer Verfasser aut Effelsberg, Wolfgang Verfasser aut https://nbn-resolving.org/urn:nbn:de:bsz:180-madoc-8052 Volltext |
| spellingShingle | Fischer, Stefan Lienhart, Rainer Effelsberg, Wolfgang Automatic Recognition of Film Genres |
| subject_GND | (DE-588)4113937-9 |
| title | Automatic Recognition of Film Genres |
| title_auth | Automatic Recognition of Film Genres |
| title_exact_search | Automatic Recognition of Film Genres |
| title_exact_search_txtP | Automatic Recognition of Film Genres |
| title_full | Automatic Recognition of Film Genres Stefan Fischer ; Rainer Lienhart ; Wolfgang Effelsberg |
| title_fullStr | Automatic Recognition of Film Genres Stefan Fischer ; Rainer Lienhart ; Wolfgang Effelsberg |
| title_full_unstemmed | Automatic Recognition of Film Genres Stefan Fischer ; Rainer Lienhart ; Wolfgang Effelsberg |
| title_short | Automatic Recognition of Film Genres |
| title_sort | automatic recognition of film genres |
| topic_facet | Hochschulschrift |
| url | https://nbn-resolving.org/urn:nbn:de:bsz:180-madoc-8052 |
| work_keys_str_mv | AT fischerstefan automaticrecognitionoffilmgenres AT lienhartrainer automaticrecognitionoffilmgenres AT effelsbergwolfgang automaticrecognitionoffilmgenres |