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公开(公告)号：US20230290383A1
公开(公告)日：2023-09-14
申请号：US18320877
申请日：2023-05-19
Applicant: Netflix, Inc.
Inventor： Dong Liu , Lezi Wang , Rohit Puri
IPC: G11B27/28 , H04N21/466 , H04N21/845 , G06N20/00 , H04N21/44 , G06V20/40 , G06V10/82 , G06V10/44
CPC classification number: G11B27/28 , H04N21/4668 , H04N21/845 , G06N20/00 , H04N21/4667 , H04N21/44008 , G06V20/41 , G06V20/46 , G06V10/82 , G06V10/454 , G06V20/47 , G06V20/48 , G06V20/49
Abstract: The disclosed computer-implemented method may include accessing media segments that correspond to respective media items. At least one of the media segments may be divided into discrete video shots. The method may also include matching the discrete video shots in the media segments to corresponding video shots in the corresponding media items according to various matching factors. The method may further include generating a relative similarity score between the matched video shots in the media segments and the corresponding video shots in the media items, and training a machine learning model to automatically identify video shots in the media items according to the generated relative similarity score between matched video shots. Various other methods, systems, and computer-readable media are also disclosed.
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公开(公告)号：US11107206B2
公开(公告)日：2021-08-31
申请号：US16143386
申请日：2018-09-26
Applicant: NETFLIX, INC.
Inventor： Subhabrata Bhattacharya , Adithya Prakash , Rohit Puri
Abstract: In various embodiments, a defective pixel detection application automatically detects defective pixels in video content. In operation, the defective pixel detection application computes a first set of pixel intensity gradients based on a first frame of video content and a first neighborhood of pixels associated with a first pixel. The defective pixel detection application also computes a second set of pixel intensity gradients based on the first frame and a second neighborhood of pixels associated with the first pixel. Subsequently, the defective pixel detection application computes a statistical distance between the first set of pixel intensity gradients and the second set of pixel intensity gradients. The defective pixel detection application then determines that the first pixel is defective based on the statistical distance.
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公开(公告)号：US20210144442A1
公开(公告)日：2021-05-13
申请号：US17095486
申请日：2020-11-11
Applicant: Netflix, Inc.
Inventor： Dong Liu , Lezi Wang , Rohit Puri
IPC: H04N21/466 , H04N21/845 , G06N20/00 , H04N21/44 , G06K9/00
Abstract: The disclosed computer-implemented method may include accessing media segments that correspond to respective media items. At least one of the media segments may be divided into discrete video shots. The method may also include matching the discrete video shots in the media segments to corresponding video shots in the corresponding media items according to various matching factors. The method may further include generating a relative similarity score between the matched video shots in the media segments and the corresponding video shots in the media items, and training a machine learning model to automatically identify video shots in the media items according to the generated relative similarity score between matched video shots. Various other methods, systems, and computer-readable media are also disclosed.
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公开(公告)号：US20200151546A1
公开(公告)日：2020-05-14
申请号：US16677161
申请日：2019-11-07
Applicant: Netflix, Inc.
Inventor： Dong Liu , Nagendra Kamath , Rohit Puri , Subhabrata Bhattacharya
Abstract: The disclosed computer-implemented method may include generating a three-dimensional (3D) feature map for a digital image using a fully convolutional network (FCN). The 3D feature map may be configured to identify features of the digital image and identify an image region for each identified feature. The method may also include generating a region composition graph that includes the identified features and image regions. The region composition graph may be configured to model mutual dependencies between features of the 3D feature map. The method may further include performing a graph convolution on the region composition graph to determine a feature aesthetic value for each node according to the weightings in the node's weighted connecting segments, and calculating a weighted average for each node's feature aesthetic value to provide a combined level of aesthetic appeal for the digital image. Various other methods, systems, and computer-readable media are also disclosed.
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公开(公告)号：US20190114761A1
公开(公告)日：2019-04-18
申请号：US16143386
申请日：2018-09-26
Applicant: NETFLIX, INC.
Inventor： Subhabrata Bhattacharya , Adithya Prakash , Rohit Puri
Abstract: In various embodiments, a defective pixel detection application automatically detects defective pixels in video content. In operation, the defective pixel detection application computes a first set of pixel intensity gradients based on a first frame of video content and a first neighborhood of pixels associated with a first pixel. The defective pixel detection application also computes a second set of pixel intensity gradients based on the first frame and a second neighborhood of pixels associated with the first pixel. Subsequently, the defective pixel detection application computes a statistical distance between the first set of pixel intensity gradients and the second set of pixel intensity gradients. The defective pixel detection application then determines that the first pixel is defective based on the statistical distance.
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Patent Agency Ranking
公开(公告)号：US11694726B2
公开(公告)日：2023-07-04
申请号：US17725536
申请日：2022-04-20
Applicant: Netflix, Inc.
Inventor： Dong Liu , Lezi Wang , Rohit Puri
IPC: H04N21/466 , G11B27/28 , H04N21/845 , G06N20/00 , H04N21/44 , G06V20/40 , G06V10/82 , G06V10/44
CPC classification number: G11B27/28 , G06N20/00 , G06V10/454 , G06V10/82 , G06V20/41 , G06V20/46 , G06V20/47 , G06V20/48 , G06V20/49 , H04N21/44008 , H04N21/4667 , H04N21/4668 , H04N21/845
Abstract: The disclosed computer-implemented method may include accessing media segments that correspond to respective media items. At least one of the media segments may be divided into discrete video shots. The method may also include matching the discrete video shots in the media segments to corresponding video shots in the corresponding media items according to various matching factors. The method may further include generating a relative similarity score between the matched video shots in the media segments and the corresponding video shots in the media items, and training a machine learning model to automatically identify video shots in the media items according to the generated relative similarity score between matched video shots. Various other methods, systems, and computer-readable media are also disclosed.
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公开(公告)号：US11551060B2
公开(公告)日：2023-01-10
申请号：US16677161
申请日：2019-11-07
Applicant: Netflix, Inc.
Inventor： Dong Liu , Nagendra Kamath , Rohit Puri , Subhabrata Bhattacharya
Abstract: The disclosed computer-implemented method may include generating a three-dimensional (3D) feature map for a digital image using a fully convolutional network (FCN). The 3D feature map may be configured to identify features of the digital image and identify an image region for each identified feature. The method may also include generating a region composition graph that includes the identified features and image regions. The region composition graph may be configured to model mutual dependencies between features of the 3D feature map. The method may further include performing a graph convolution on the region composition graph to determine a feature aesthetic value for each node according to the weightings in the node's weighted connecting segments, and calculating a weighted average for each node's feature aesthetic value to provide a combined level of aesthetic appeal for the digital image. Various other methods, systems, and computer-readable media are also disclosed.
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公开(公告)号：US20220248096A1
公开(公告)日：2022-08-04
申请号：US17725536
申请日：2022-04-20
Applicant: Netflix, Inc.
Inventor： Dong Liu , Lezi Wang , Rohit Puri
IPC: H04N21/466 , H04N21/845 , G06N20/00 , H04N21/44 , G06V20/40
Abstract: The disclosed computer-implemented method may include accessing media segments that correspond to respective media items. At least one of the media segments may be divided into discrete video shots. The method may also include matching the discrete video shots in the media segments to corresponding video shots in the corresponding media items according to various matching factors. The method may further include generating a relative similarity score between the matched video shots in the media segments and the corresponding video shots in the media items, and training a machine learning model to automatically identify video shots in the media items according to the generated relative similarity score between matched video shots. Various other methods, systems, and computer-readable media are also disclosed.
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公开(公告)号：US11350169B2
公开(公告)日：2022-05-31
申请号：US17095486
申请日：2020-11-11
Applicant: Netflix, Inc.
Inventor： Dong Liu , Lezi Wang , Rohit Puri
IPC: H04N21/466 , H04N21/845 , G06N20/00 , H04N21/44 , G06V20/40
Abstract: The disclosed computer-implemented method may include accessing media segments that correspond to respective media items. At least one of the media segments may be divided into discrete video shots. The method may also include matching the discrete video shots in the media segments to corresponding video shots in the corresponding media items according to various matching factors. The method may further include generating a relative similarity score between the matched video shots in the media segments and the corresponding video shots in the media items, and training a machine learning model to automatically identify video shots in the media items according to the generated relative similarity score between matched video shots. Various other methods, systems, and computer-readable media are also disclosed.
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公开(公告)号：US10686969B2
公开(公告)日：2020-06-16
申请号：US15379318
申请日：2016-12-14
Applicant: NETFLIX, INC.
Inventor： Rohit Puri , Adithya Prakash , Shinjan Tiwary
IPC: H04N5/14 , H04N19/87 , H04N21/234 , H04N21/44 , H04N19/142
Abstract: One embodiment of the present invention sets forth a technique for detecting a shot change in a video. The technique includes calculating a first plurality of difference values for pixel blocks included in a first video frame and a second video frame and calculating a first cumulative distribution function (CDF) based on the first plurality of difference values. The technique further includes calculating a second plurality of difference values for pixel blocks included in a first plurality of video frames that is contiguous with the first video frame and calculating a second CDF based on the second plurality of difference values. The technique further includes comparing the first CDF to the second CDF to detect a shot change.
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