Approach for Video Classification with Multi-label on YouTube-8M Dataset

Shin, Kwangsoo; Jeon, Junhyeong; Lee, Seungbin; Lim, Boyoung; Jeong, Minsoo; Nang, Jongho

doi:10.1007/978-3-030-11018-5_29

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Approach for Video Classification with Multi-label on YouTube-8M Dataset

Shin, Kwangsoo;
Jeon, Junhyeong;
Lee, Seungbin;
Lim, Boyoung;
Jeong, Minsoo;
... Nang, Jongho

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초록

Video traffic is increasing at a considerable rate due to the spread of personal media and advancements in media technology. Accordingly, there is a growing need for techniques to automatically classify moving images. This paper use NetVLAD and NetFV models and the Huber loss function for video classification problem and YouTube-8M dataset to verify the experiment. We tried various attempts according to the dataset and optimize hyperparameters, ultimately obtain a GAP score of 0.8668.

키워드

Video classification; Large-scale video; Multi-label

제목: Approach for Video Classification with Multi-label on YouTube-8M Dataset

저자: Shin, Kwangsoo; Jeon, Junhyeong; Lee, Seungbin; Lim, Boyoung; Jeong, Minsoo; Nang, Jongho

DOI: 10.1007/978-3-030-11018-5_29

발행일: 2019

유형: Proceedings Paper

저널명: Lecture Notes in Computer Science

권: 11132

페이지: 317 ~ 324

언어: ENG

출판사: Springer Verlag

발행국가: 미국

분량: 8 페이지

ISSN: E 1611-3349
P 0302-9743