公开(公告)号：US11586842B2

公开(公告)日：2023-02-21

申请号：US16823139

申请日：2020-03-18

Applicant: VMware, Inc.

Inventor： Lan Vu ,  Hari Sivaraman ,  Uday Pundalik Kurkure ,  Xuwen Yu

IPC: G06K9/00 ,  G06K9/62 ,  G06T7/00

Abstract: A system and method for assessing video quality of a video-based application trains a neural network using training data of video samples and assesses video of the video-based application using the neural network to generate the subjective video quality information of the video-based application. Data augmentation is performed on video data, which is labeled with at least one subjective quality level, to generate the training data of video samples.

公开(公告)号：US11282179B2

公开(公告)日：2022-03-22

申请号：US16823162

申请日：2020-03-18

Applicant: VMware, Inc.

Inventor： Lan Vu ,  Hari Sivaraman ,  Uday Pundalik Kurkure ,  Xuwen Yu

IPC: G06T7/00 ,  G06K9/00 ,  G06K9/62 ,  H04L65/80 ,  G06N3/08

Abstract: A system and method for assessing video quality of a video-based application inserts frame identifiers (IDs) into video content from the video-based application and recognizes the frame IDs from the video content using a text recognition neural network. Based on recognized frame IDs, a frame per second (FPS) metric of the video content is calculated. Based on the FPS metric of the video content, objective video quality of the video-based application is assessed.