公开(公告)号：US11445168B1

公开(公告)日：2022-09-13

申请号：US17039349

申请日：2020-09-30

Applicant: Amazon Technologies, Inc.

Inventor： Hai Wei ,  Charles Benjamin Waggoner ,  Zongyi Liu ,  Srinivas Rajagopalan ,  Lei Li

IPC: H04N17/00 ,  G06K9/62 ,  G06T7/00 ,  G06V20/40

Abstract: Techniques for content-adaptive video sampling for automated video quality monitoring are described. As one example, a computer-implemented method includes receiving a request to train a machine learning model on a training video file comprising at least one labeled defect, performing an encode on the training video file to generate one or more compression features for each compressed frame of the training video file, training the machine learning model to identify a proper subset of candidate defect frames of the training video file based at least in part on the one or more compression features for each compressed frame of the training video file and the at least one labeled defect, receiving an inference request for an input video file, performing an encode on the input video file to generate one or more compression features for each compressed frame of the input video file, generating, by the machine learning model, a proper subset of candidate defect frames of the input video file based at least in part on the one or more compression features for each compressed frame of the input video file, and determining a defect in the input video file based at least in part on the proper subset of candidate defect frames of the input video file.

公开(公告)号：US10798399B1

公开(公告)日：2020-10-06

申请号：US15837884

申请日：2017-12-11

Applicant: Amazon Technologies, Inc.

Inventor： Hai Wei ,  Charles Benjamin Franklin Waggoner ,  Yang Yang ,  Srinivas Rajagopalan ,  Deepthi Nandakumar ,  Lei Li

IPC: H04N19/46 ,  H04N19/182 ,  H04N19/172 ,  H04N19/132

Abstract: An adaptive video compression system may receive video data to be compressed, such as for delivery to a user device by a video streaming service. For example the video data may be an entire video file or a segment of a video file. The adaptive video compression system determines a suitable encoding scheme for compressing the video data. In order to determine the encoding scheme, the video data may be analyzed to extract a plurality of features interests of the video data, which may represent one or more characteristics of the video data. The features may be concatenated and collectively expressed as a feature vector. The feature vector is then used to determine a classification for the video data. Accordingly, an encoding scheme is determined for the video data based on the classification of the video data, and applied to video data to compress the video data.