A Deep Learning Based Video Classification System Using Multimodality Correlation Approach

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초록

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.

키워드

Machine LearningDeep LearningMultimodal LearningConvolutional Neural NetworkVideo Classification
제목
A Deep Learning Based Video Classification System Using Multimodality Correlation Approach
저자
Lee, JungheonKoh, YoungsanYang, Jihoon
DOI
10.23919/ICCAS.2017.8204286
발행일
2017-12-13
유형
Proceedings Paper
저널명
2017 17TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS)
2017-October
페이지
2021 ~ 2025