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Patent Agency Ranking
公开(公告)号：US10218826B2
公开(公告)日：2019-02-26
申请号：US15810312
申请日：2017-11-13
Applicant: GOOGLE LLC
Inventor： Krishnan Eswaran , Thierry Foucu , Jie Sun , Krishna Kumar Gadepalli , Vijnan Shastri
IPC: H04B7/00 , H04L29/14 , H04L29/06 , H04N21/231 , H04N21/2343 , H04N21/845 , H04L29/08
Abstract: A method includes separating, using a separation component, a plurality of input streams into a plurality of audio streams having different bitrates and a plurality of video streams having different bitrates; transcoding, using an audio transcoder, the plurality of audio streams into a plurality of transcoded audio streams having different transcode qualities; transcoding, using a video transcoder, the plurality of video streams into a plurality of transcoded video streams having different transcode qualities; segmenting, using a segmentation component, the plurality of audio streams into a plurality of equivalent audio segments based on identified segment boundaries associated with the plurality transcoded audio streams and the plurality of video streams into a plurality of equivalent video segments based on identified segment boundaries associated with the plurality of transcoded video streams; and joining, using a conjoining component, the plurality of equivalent audio segments and the plurality of video segments into a single stream.
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公开(公告)号：US20200019617A1
公开(公告)日：2020-01-16
申请号：US16032276
申请日：2018-07-11
Applicant: Google LLC
Inventor： Krishnan Eswaran , Shravya Shetty , Daniel Shing Shun Tse , Shahar Jamshy , Zvika Ben-Haim
Abstract: A computer-implemented system is described for identifying and retrieving similar radiology images to a query image. The system includes one or more fetchers receiving the query image and retrieving a set of candidate similar radiology images from a data store. One or more scorers receive the query image and the set of candidate similar radiology images and generate a similarity score between the query image and each candidate image. A pooler receives the similarity scores from the one or more scorers, ranks the candidate images, and returns a list of the candidate images reflecting the ranking. The scorers implement a modelling technique to generate the similarity score capturing a plurality of similarity attributes of the query image and the set of candidate similar radiology images and annotations associated therewith. For example, the similarity attributes could be patient, diagnostic and/or visual similarity, and the modelling techniques could be triplet loss, classification loss, regression loss and object detection loss.
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公开(公告)号：US20220238225A1
公开(公告)日：2022-07-28
申请号：US17321734
申请日：2021-05-17
Applicant: Google LLC
Inventor： Marcin Tomasz Sieniek , Sunny Jansen , Krishnan Eswaran , Shruthi Prabhakara , Daniel Shing Shun Tse , Scott Mayer McKinney
Abstract: Systems and methods for artificial intelligence enabled instant diagnostic follow-up can provide efficiency to the medical diagnosis process by providing multiple examinations in the same medical visit for medical workflows that previously required multiple visits. The systems and methods can provide further medical benefit by implementing triaging systems to ensure the most urgent cases are seen immediately.
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公开(公告)号：US11126649B2
公开(公告)日：2021-09-21
申请号：US16032276
申请日：2018-07-11
Applicant: Google LLC
Inventor： Krishnan Eswaran , Shravya Shetty , Daniel Shing Shun Tse , Shahar Jamshy , Zvika Ben-Haim
Abstract: A computer-implemented system is described for identifying and retrieving similar radiology images to a query image. The system includes one or more fetchers receiving the query image and retrieving a set of candidate similar radiology images from a data store. One or more scorers receive the query image and the set of candidate similar radiology images and generate a similarity score between the query image and each candidate image. A pooler receives the similarity scores from the one or more scorers, ranks the candidate images, and returns a list of the candidate images reflecting the ranking. The scorers implement a modelling technique to generate the similarity score capturing a plurality of similarity attributes of the query image and the set of candidate similar radiology images and annotations associated therewith. For example, the similarity attributes could be patient, diagnostic and/or visual similarity, and the modelling techniques could be triplet loss, classification loss, regression loss and object detection loss.
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公开(公告)号：US20180069950A1
公开(公告)日：2018-03-08
申请号：US15810312
申请日：2017-11-13
Applicant: GOOGLE LLC
Inventor： Krishnan Eswaran , Thierry Foucu , Jie Sun , Krishna Kumar Gadepalli , Vijnan Shastri
IPC: H04L29/14 , H04L29/06 , H04N21/845 , H04N21/2343 , H04N21/231 , H04L29/08
CPC classification number: H04L69/40 , H04L29/06523 , H04L65/4015 , H04L65/602 , H04L65/607 , H04L67/2804 , H04N21/23106 , H04N21/2343 , H04N21/234309 , H04N21/8456
Abstract: A method includes separating, using a separation component, a plurality of input streams into a plurality of audio streams having different bitrates and a plurality of video streams having different bitrates; transcoding, using an audio transcoder, the plurality of audio streams into a plurality of transcoded audio streams having different transcode qualities; transcoding, using a video transcoder, the plurality of video streams into a plurality of transcoded video streams having different transcode qualities; segmenting, using a segmentation component, the plurality of audio streams into a plurality of equivalent audio segments based on identified segment boundaries associated with the plurality transcoded audio streams and the plurality of video streams into a plurality of equivalent video segments based on identified segment boundaries associated with the plurality of transcoded video streams; and joining, using a conjoining component, the plurality of equivalent audio segments and the plurality of video segments into a single stream.
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