  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.
