发明申请
- 专利标题: IMAGE SEARCHING
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申请号: US16392305申请日: 2019-04-23
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公开(公告)号: US20190251438A1公开(公告)日: 2019-08-15
- 发明人: JenHao Hsiao
- 申请人: Oath Inc.
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; G06F16/583 ; G06N3/04

摘要:
As provided herein, a domain model, corresponding to a domain of an image, may be merged with a pre-trained fundamental model to generate a trained fundamental model. The trained fundamental model may comprise a feature description of the image converted into a binary code. Responsive to a user submitting a search query, a coarse image search may be performed, using a search query binary code derived from the search query, to identify a candidate group, comprising one or more images, having binary codes corresponding to the search query binary code. A fine image search may be performed on the candidate group utilizing a search query feature description derived from the search query. The fine image search may be used to rank images within the candidate group based upon a similarity between the search query feature description and feature descriptions of the one or more images within the candidate group.
公开/授权文献
- US10719763B2 Image searching 公开/授权日:2020-07-21
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