A Deep Learning Based Video Classification System Using Multimodality Correlation Approach

被引：0

作者：

Lee, Jungheon ^{[1
]}

Koh, Youngsan ^{[1
]}

Yang, Jihoon ^{[1
]}

机构：

[1] Sogang Univ, Dept Comp Sci & Engn, Seoul 04107, South Korea

来源：

2017 17TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS) | 2017年

关键词：

Machine Learning; Deep Learning; Multimodal Learning; Convolutional Neural Network; Video Classification;

D O I：

暂无

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 video event classification system that classifies video events using the correlation of images and sounds extracted from one video. The proposed system has better classification performance than other systems using single modality.

引用

页码：2021 / 2025

页数：5

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