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公开(公告)号:US11539985B2
公开(公告)日:2022-12-27
申请号:US17124370
申请日:2020-12-16
发明人: Nachiketa Mishra , Steven Roeder
IPC分类号: H04N7/16 , H04N21/234 , G06K9/62 , G06N20/20 , H04N21/25
摘要: A method for video quality assessment implemented by a computing device, where the method includes selecting a first set of frames from an input video source, determining features of the first set of frames for input into a first machine learning model, applying the first machine learning model to the features of the first set of frames to obtain a video quality score and a confidence score, and triggering a retraining of the first machine learning model in response to the confidence score being determined to be out of bounds.
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公开(公告)号:US11743150B2
公开(公告)日:2023-08-29
申请号:US17327666
申请日:2021-05-21
发明人: Nachiketa Mishra
IPC分类号: H04L12/24 , H04L41/50 , G06N20/00 , H04L41/5041 , H04L41/5009 , H04L41/5074 , H04L41/0695
CPC分类号: H04L41/509 , G06N20/00 , H04L41/0695 , H04L41/5009 , H04L41/5048 , H04L41/5074
摘要: A method and system corrects a content delivery infrastructure. The method of the system includes receiving a request to resolve reported issues for the content delivery infrastructure, collecting content delivery metrics for the content delivery infrastructure, executes a language transformer model on the request and the content delivery metrics to generate a set of possible resolutions with confidence ratings, and implementing an automated solution based on a resolution from the set of possible resolutions, in response to the resolution having a confidence rating above a threshold.
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公开(公告)号:US11438218B2
公开(公告)日:2022-09-06
申请号:US17124372
申请日:2020-12-16
发明人: Nachiketa Mishra
IPC分类号: H04L41/0677 , H04L65/61 , H04L65/80 , H04L41/0631
摘要: A method of measuring video stream visual stability, the method including receiving a first set of network packets carrying data of the video stream, determining network performance metrics for a session associated with the first set of network packets, retrieving priority fault errors from a packet header of at least one network packet of the first set of the network packets, adding the priority fault errors and the network performance metrics to time series data, and applying a machine learning model to the time series data to obtain a visual stability score for the first set of network packets.
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