- author = "Masanori Suganuma",
- title = "A Study on Salient Event Detection in Videos",
- school = "Information Media and Environment Sciences, Graduate School of Environment and Information Sciences, Yokohama National University",
- year = "2017",
- address = "79-7 Tokiwadai, Hodogaya-ku, Yokohama 240-8501, Japan",
- keywords = "genetic algorithms, genetic programming",
-
URL = "
https://dl.ndl.go.jp/info:ndljp/pid/10993906",
- abstract = "A lot of videos are recorded in many public places such as airports, stations, and operating rooms for security and postoperative evaluation. To use these videos effectively, automatic event detection methods are essential. In particular, it is important to detect events which occur less frequently and important events. We refer to these events as salient events in this paper and propose methods to detect these salient events",
-
notes = "Written in Japanese
Supervisor: Tomoharu Nagao",
