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公开(公告)号:US20240195995A1
公开(公告)日:2024-06-13
申请号:US18585844
申请日:2024-02-23
Applicant: Huawei Technologies Co., Ltd.
IPC: H04N19/30
CPC classification number: H04N19/30
Abstract: In accordance with an embodiment, a method includes: obtaining a change trend of an available channel capacity on a first channel, wherein the first channel is used to transmit video data; adjusting, based on the change trend of the available channel capacity, a quantity of layers during layered coding of at least one frame of data in the video data; performing layered coding on the at least one frame of data based on a quantity of layers obtained after adjustment; and outputting coded data obtained through layered coding.
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公开(公告)号:US20170199928A1
公开(公告)日:2017-07-13
申请号:US15472279
申请日:2017-03-29
Inventor: Jun Zhao , Kang Liu , Shizhu He , Yibo Zhang
Abstract: A method for parsing a question in a knowledge base includes: receiving a question entered by a user; performing phrase detection on the question to determine candidate phrases; mapping the candidate phrases to resource items in the knowledge base; further determining values of observed predicates and possible question parse spaces; performing uncertain inference on each proposition set in the possible question parse spaces according to the values of the observed predicates and values of hidden predicates, and calculating confidence; acquiring a combination of true propositions in a proposition set whose confidence satisfies a preset condition; generating a formal query statement according to the combination of true propositions.
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公开(公告)号:US10706084B2
公开(公告)日:2020-07-07
申请号:US15472279
申请日:2017-03-29
Inventor: Jun Zhao , Kang Liu , Shizhu He , Yibo Zhang
IPC: G06F16/00 , G06F16/332 , G06N20/00 , G06F16/242 , G06F16/901 , G06F16/2457 , G06N5/04 , G06F16/2452 , G06F40/268 , G06F40/289 , G06F17/11 , G06N7/00
Abstract: A method for parsing a question in a knowledge base includes: receiving a question entered by a user; performing phrase detection on the question to determine candidate phrases; mapping the candidate phrases to resource items in the knowledge base; further determining values of observed predicates and possible question parse spaces; performing uncertain inference on each proposition set in the possible question parse spaces according to the values of the observed predicates and values of hidden predicates, and calculating confidence; acquiring a combination of true propositions in a proposition set whose confidence satisfies a preset condition; generating a formal query statement according to the combination of true propositions.
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