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System and method for video classification using a hybrid unsupervised and supervised multi-layer architecture

机译:使用混合无监督和受监督的多层体系结构进行视频分类的系统和方法

摘要

A computer-implemented video classification method and system are disclosed. The method includes receiving an input video including a sequence of frames. At least one transformation of the input video is generated, each transformation including a sequence of frames. For the input video and each transformation, local descriptors are extracted from the respective sequence of frames. The local descriptors of the input video and each transformation are aggregated to form an aggregated feature vector with a first set of processing layers learned using unsupervised learning. An output classification value is generated for the input video, based on the aggregated feature vector with a second set of processing layers learned using supervised learning.
机译:公开了一种计算机实现的视频分类方法和系统。该方法包括接收包括帧序列的输入视频。生成输入视频的至少一个变换,每个变换包括一系列帧。对于输入视频和每个转换,从各个帧序列中提取局部描述符。将输入视频的本地描述符和每个转换聚合在一起,以形成聚合的特征向量,其中包含使用无监督学习而学习的第一组处理层。基于聚合的特征向量以及使用监督学习学习的第二组处理层,为输入视频生成输出分类值。

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