Video category identification method and device, computer device and computer storage medium

The invention discloses a video category identification method and device, a computer device and a computer storage medium, and belongs to the field of video identification. The method comprises the following steps: acquiring to-be-identified video data; inputting to-be-identified video data into the video classification model; wherein the video classification model comprises a space-time convolutional neural network model, a space-time local aggregation description feature 3D-VLAD model and a classification recognition model which are connected in sequence; wherein the space-time convolutional neural network model comprises a plurality of space-time convolutional neural network layers and a plurality of space-time maximum pooling layers which are stacked in sequence; wherein the 3D-VLAD model is used for taking a space-time feature map output by a specified number of reciprocal space-time maximum pooling layers in the plurality of space-time maximum pooling layers as input to obtain space-time local aggregat