Contributions to Proceedings:
D. Helm, B. Pointner, M. Kampel:
"Frame Border Detection for Digitized Historical Footage";
in: "Proceedings of the Joint Austrian Computer Vision and Robotics Workshop 2020",
1;
P. Roth et al. (ed.);
issued by: Verlag der Technischen Universität Graz;
Austrian Association for Pattern Recognition (ÖAGM/AAPR),
Graz,
2020,
ISBN: 978-3-85125-752-6,
114
- 115.
English abstract:
Automatic video analysis of digitized historical
analog films is influenced by video quality,
composition and scan artifacts called overscanning.
This paper provides a first pipeline to crop the main
frame window by detecting Sprocket-Holes and interpreting
the geometric hole layout to distinguish
between two different film reel types (16mm and
9.5mm). Therefore, an heuristic approach based on
histogram features is explored. Finally, our results
demonstrate a first baseline for future research.
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.3217/978-3-85125-752-6-26
Created from the Publication Database of the Vienna University of Technology.