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arXiv · 1710.10330

Multi-modal Aggregation for Video Classification

Chen Chen·Xiaowei Zhao·Yang Liu
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Abstract

In this paper, we present a solution to Large-Scale Video Classification Challenge (LSVC2017) [1] that ranked the 1st place. We focused on a variety of modalities that cover visual, motion and audio. Also, we visualized the aggregation process to better understand how each modality takes effect. Among the extracted modalities, we found Temporal-Spatial features calculated by 3D convolution quite promising that greatly improved the performance. We attained the official metric mAP 0.8741 on the testing set with the ensemble model.

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Chen Chen, Xiaowei Zhao, Yang Liu. 2017-10-27. Multi-modal Aggregation for Video Classification. https://arxiv.org/abs/1710.10330

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