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About Deep Multimodality Learning For UAV Video Aesthetic Quality Assessment
This document presents a method for assessing the aesthetic quality of videos taken by unmanned aerial vehicles (UAVs). The method uses a multistream deep learning framework to analyze spatial appearance, camera motion, and scene structure from UAV videos. The framework consists of separate spatial, motion, and structural streams. It was trained and evaluated on a new dataset of 6,000 UAV videos. Experimental results showed the method could distinguish professional and amateur UAV videos as well as classify scene types, outperforming previous video classification and aesthetic assessment methods. The method has applications in UAV video grading, detecting professional video segments, and planning aesthetic UAV flight paths.
Detailed Information
| Author: | ['Xin Jin'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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