Invention Grant
- Patent Title: System and method for learning scene embeddings via visual semantics and application thereof
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Application No.: US16142155Application Date: 2018-09-26
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Publication No.: US11481575B2Publication Date: 2022-10-25
- Inventor: Paloma de Juan , Aasish Pappu
- Applicant: YAHOO ASSETS LLC
- Applicant Address: US VA Dulles
- Assignee: YAHOO ASSETS LLC
- Current Assignee: YAHOO ASSETS LLC
- Current Assignee Address: US VA Dulles
- Agency: Venable LLP
- Main IPC: G06F16/532
- IPC: G06F16/532 ; G06F16/583 ; G06K9/62 ; G06N20/00 ; G06N3/08 ; G06V10/82 ; G06V20/30 ; G06V20/70 ; G06V30/262

Abstract:
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.
Public/Granted literature
- US20200097764A1 SYSTEM AND METHOD FOR LEARNING SCENE EMBEDDINGS VIA VISUAL SEMANTICS AND APPLICATION THEREOF Public/Granted day:2020-03-26
Information query