New Feature-level Video Classification via Temporal Attention Model

Hongje Seong
Hongje Seong
Suhyeon Lee
Suhyeon Lee
Suhan Woo
Suhan Woo
Hyunbae Chang
Hyunbae Chang

MM '18: ACM Multimedia Conference Seoul Republic of Korea October, 2018, pp. 31-34, 2018.

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Abstract:

CoVieW 2018 is a new challenge which aims at simultaneous scene and action recognition for untrimmed video [1]. In the challenge, frame-level video features extracted by pre-trained deep convolutional neural network (CNN) are provided for video-level classification. In this paper, a new approach for the video-level classification method i...More

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