Research on Drone's Aerial Photography Aided Learning System Based on Deep Learning

被引:0
|
作者
Chen, Wei-Yu [1 ]
Hu, Jau-Kai [1 ]
机构
[1] Chinese Culture Univ, Dept Mass Commun, Taipei, Taiwan
关键词
Drone's Aerial Photography Aided Learning System; Deep Learning; Artistic;
D O I
10.1109/icce-tw46550.2019.8991818
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
On June 10, 2017, the "See Taiwan II" documentary film crew took a helicopter ride in Hualien, Taiwan, and made an air crash, letting the aerial photography master Zeppelin pass away. At that time, scholars and experts suggested that the drone's aerial photography was so advanced, why should he take a helicopter to shoot himself? In fact, professional photography is an art that subtly reflects the "ideas" behind the shutter press. In view of this, this study collects the works of the masters of the aerial shoots and uses the deep learning technology to extract the feature values of the masters' works, so that the beginners can learn the "thinking" shot by the masters when they fly the high-altitude aerial camera. Learning and thinking about the artistic conception in the photo, recommended or assisted by the mechanism of image recognition, through which the beginner can also produce master-level photography.
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页数:2
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