Abstract
In this paper, we describe a framework for the extraction of low-level and high level information from movies in order to be used for cinemetric applications. The developed framework analyses the available video content and extracts characteristics related to color, motion, contrast, shot length, tempo, face to frame ratios etc. The extracted information is stored in MPEG 7 AVDP profile format, which is a standard description format that can be imported to related cinemetric
applications. We applied the developed framework in a collection of downloaded videos, as well as 3 stereoscopic movies.
applications. We applied the developed framework in a collection of downloaded videos, as well as 3 stereoscopic movies.
Original language | English |
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Title of host publication | 2016 Digital Media Industry & Academic Forum (DMIAF 2016 |
Subtitle of host publication | Proceedings of a meeting held 4-6 July 2016, Santorini, Greece |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 172-175 |
Number of pages | 4 |
ISBN (Electronic) | 9781509010004 |
ISBN (Print) | 9781509010011 |
DOIs | |
Publication status | Published - Oct 2016 |
Event | IEEE Digital Media Industry and Academic Forum - Santorini, Greece Duration: 4 Jul 2016 → 6 Jul 2016 |
Conference
Conference | IEEE Digital Media Industry and Academic Forum |
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Abbreviated title | DMIAF |
Country/Territory | Greece |
City | Santorini |
Period | 4/07/16 → 6/07/16 |
Keywords
- Motion pictures
- Image color analysis
- Videos
- Face
- Data mining
- Rhythm
- Feature extraction