Scene Recognition in Short Video with Multi-Resolution CNNs

被引：0
|
作者：
Dong, Xu [1 ]
Tan, Li [1 ]
Zhou, Lina [1 ]
Song, Yanyan [1 ]
机构：
[1] Beijing Technol & Business Univ, Sch Comp & Informat Engn, Beijing, Peoples R China
来源：
2019 2ND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND BIG DATA (ICAIBD 2019) | 2019年
基金：
中国国家自然科学基金; 北京市自然科学基金;
关键词：
scene recognition; deep learning; deep fusion network;
D O I：
10.1109/icaibd.2019.8837029
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to solve the problems of scene recognition in short videos, this paper proposes a deep fusion network based on VGGNet. Firstly, VGGNet16 is used to learn global features, and VGGNet19 is used to learn images in details. After that the learning features are fused by means of weighted averaging; In the public dataset 2017-AI-Challenger-scene-classification, the result of top3 is 92.2% and the top3 of the Charades short video dataset has achieved 78.9%, which proves that the proposed method has a good performance in scene recognition.
引用
收藏
页码：419 / 422
页数：4
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