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Systems and methods for determining video feature descriptors based on convolutional neural networks

机译:基于卷积神经网络确定视频特征描述符的系统和方法

摘要

Systems, methods, and non-transitory computer-readable media can acquire video content for which video feature descriptors are to be determined. The video content can be processed based at least in part on a convolutional neural network including a set of two-dimensional convolutional layers and a set of three-dimensional convolutional layers. One or more outputs can be generated from the convolutional neural network. A plurality of video feature descriptors for the video content can be determined based at least in part on the one or more outputs from the convolutional neural network.
机译:系统,方法和非暂时性计算机可读介质可以获取将为其确定视频特征描述符的视频内容。可以至少部分地基于包括一组二维卷积层和一组三维卷积层的卷积神经网络来处理视频内容。可以从卷积神经网络生成一个或多个输出。可以至少部分地基于来自卷积神经网络的一个或多个输出来确定用于视频内容的多个视频特征描述符。

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