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arXiv · 1808.08671

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

Kwangsoo Shin·Junhyeong Jeon·Seungbin Lee·Boyoung Lim·Minsoo Jeong·Jongho Nang
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Abstract

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.

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Kwangsoo Shin, Junhyeong Jeon, Seungbin Lee, Boyoung Lim, Minsoo Jeong, Jongho Nang. 2018-08-27. Approach for Video Classification with Multi-label on YouTube-8M Dataset. https://arxiv.org/abs/1808.08671

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