公开(公告)号：US11829413B1

公开(公告)日：2023-11-28

申请号：US17030103

申请日：2020-09-23

Applicant: Amazon Technologies, Inc.

Inventor： Xiang Hao ,  Jingxiang Chen ,  Vernon Germano ,  Muhammad Raffay Hamid ,  Lakshay Sharma

IPC: G06F16/783 ,  G06N20/00 ,  G06F16/75

CPC classification number: G06F16/7847 ,  G06F16/75 ,  G06N20/00

Abstract: Techniques for temporal localization of mature content in long-form videos using only video-level labels are described. According to some embodiments, computer-implemented method includes receiving a request to train a machine learning model on a training video file comprising at least one mature content label, training the machine learning model to generate a feature vector for each of a plurality of video frames of the training video file, generate a plurality of frame-level mature content classification scores of the training video file from the feature vectors of the training video file, and generate a video-level mature content classification score of the training video file from the plurality of frame-level mature content classification scores for the training video file based at least in part on the at least one mature content label of the training video file, receiving a request for an input video file, generating, by the machine learning model in response to the request, a feature vector for each of a plurality of video frames of the input video file, a plurality of frame-level mature content classification scores of the input video file from the feature vectors of the input video file, and a video-level mature content classification score of the input video file from the plurality of frame-level mature content classification scores for the input video file, and transmitting the plurality of frame-level mature content classification scores of the input video file or the video-level mature content classification score of the input video file to a client application or to a storage location.