Personalized Egocentric Video Summarization of Cultural Tour on User Preferences Input

被引:26
|
作者
Varini, Patrizia [1 ]
Serra, Giuseppe [2 ]
Cucchiara, Rita [1 ]
机构
[1] Univ Modena & Reggio Emilia, Dept Engn Enzo Ferrari, I-41100 Modena, Italy
[2] Univ Udine, Dept Math Comp Sci & Phys, I-33100 Udine, Italy
关键词
Computer vision; feedforward neural networks; knowledge discovery;
D O I
10.1109/TMM.2017.2705915
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we propose a new method for customized summarization of egocentric videos according to specific user preferences, so that different users can extract different summaries from the same stream. Our approach, tailored on a cultural heritage scenario, relies on creating a short synopsis of the original video focused on key shots, in which concepts relevant to user preferences can be visually detected and the chronological flow of the original video is preserved. Moreover, we release a new dataset, composed of egocentric streams taken in uncontrolled scenarios, capturing tourists cultural visits in six art cities, with geolocalization information. Our experimental results show that the proposed approach is able to leverage user's preferences with an accent on storyline chronological flow and on visual smoothness.
引用
收藏
页码:2832 / 2845
页数:14
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