- 专利标题: System and method for learning scene embeddings via visual semantics and application thereof
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申请号: US16142155申请日: 2018-09-26
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公开(公告)号: US11481575B2公开(公告)日: 2022-10-25
- 发明人: Paloma de Juan , Aasish Pappu
- 申请人: YAHOO ASSETS LLC
- 申请人地址: US VA Dulles
- 专利权人: YAHOO ASSETS LLC
- 当前专利权人: YAHOO ASSETS LLC
- 当前专利权人地址: US VA Dulles
- 代理机构: Venable LLP
- 主分类号: G06F16/532
- IPC分类号: G06F16/532 ; G06F16/583 ; G06K9/62 ; G06N20/00 ; G06N3/08 ; G06V10/82 ; G06V20/30 ; G06V20/70 ; G06V30/262
摘要:
The present teaching relates to method, system, and programming for responding to an image related query. Information related to each of a plurality of images is received, wherein the information represents concepts co-existing in the image. Visual semantics for each of the plurality of images are created based on the information related thereto. Representations of scenes of the plurality of images are obtained via machine learning, based on the visual semantics of the plurality of images, wherein the representations capture concepts associated with the scenes.
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