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公开(公告)号:US11442980B2
公开(公告)日:2022-09-13
申请号:US16222241
申请日:2018-12-17
Applicant: Oath Inc.
Inventor: JenHao Hsiao
IPC: G06F16/532 , G06F16/583 , G06F16/54 , G06F16/21
Abstract: Users may have a variety of photos, but lack a mechanism to organize the photos. For example, a user may desire to access a photo of a child in front of a national monument, but may be unable to locate the photo amongst the photos. Accordingly, a photo query may be generated utilizing a photo query interface populated with a face query attribute (e.g., a proxy icon, a photo of a face, etc.), a face position attribute (e.g., a position of the face query attribute), and/or a location query attribute (e.g., a background of a photo, such as a forest, a monument, etc.) using drag and drop functionality and/or any other query construction functionality. One or more photos having attributes corresponding to the photo query may be identified and provided to the user.
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公开(公告)号:US10719763B2
公开(公告)日:2020-07-21
申请号:US16392305
申请日:2019-04-23
Applicant: Oath Inc.
Inventor: JenHao Hsiao
IPC: G06N3/08 , G06F16/583 , G06N3/04
Abstract: 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.
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公开(公告)号:US20180225573A1
公开(公告)日:2018-08-09
申请号:US15948061
申请日:2018-04-09
Applicant: Oath Inc.
Inventor: JenHao Hsiao
CPC classification number: G06N3/08 , G06F17/30256 , G06N3/0427 , G06N3/0454 , G06N3/084
Abstract: 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.
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公开(公告)号:US11151630B2
公开(公告)日:2021-10-19
申请号:US14325192
申请日:2014-07-07
Applicant: Oath Inc.
Inventor: JenHao Hsiao , Jia Li
Abstract: Example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate or support one or more processes and/or operations for one or more on-line recommendations, such as product-related recommendations, for example.
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公开(公告)号:US20200349436A1
公开(公告)日:2020-11-05
申请号:US16935069
申请日:2020-07-21
Applicant: Oath Inc.
Inventor: JenHao Hsiao
IPC: G06N3/08 , G06F16/583 , G06N3/04
Abstract: 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.
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公开(公告)号:US20190251438A1
公开(公告)日:2019-08-15
申请号:US16392305
申请日:2019-04-23
Applicant: Oath Inc.
Inventor: JenHao Hsiao
IPC: G06N3/08 , G06F16/583 , G06N3/04
CPC classification number: G06N3/08 , G06F16/5838 , G06N3/0427 , G06N3/0454 , G06N3/084 , Y04S10/54
Abstract: 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.
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公开(公告)号:US20190121821A1
公开(公告)日:2019-04-25
申请号:US16222241
申请日:2018-12-17
Applicant: Oath Inc.
Inventor: JenHao Hsiao
IPC: G06F16/532 , G06F16/583
Abstract: Users may have a variety of photos, but lack a mechanism to organize the photos. For example, a user may desire to access a photo of a child in front of a national monument, but may be unable to locate the photo amongst the photos. Accordingly, a photo query may be generated utilizing a photo query interface populated with a face query attribute (e.g., a proxy icon, a photo of a face, etc.), a face position attribute (e.g., a position of the face query attribute), and/or a location query attribute (e.g., a background of a photo, such as a forest, a monument, etc.) using drag and drop functionality and/or any other query construction functionality. One or more photos having attributes corresponding to the photo query may be identified and provided to the user.
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公开(公告)号:US10268952B2
公开(公告)日:2019-04-23
申请号:US15948061
申请日:2018-04-09
Applicant: Oath Inc.
Inventor: JenHao Hsiao
Abstract: 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.
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公开(公告)号:US10157192B2
公开(公告)日:2018-12-18
申请号:US14664011
申请日:2015-03-20
Applicant: Oath Inc.
Inventor: JenHao Hsiao
IPC: G06F17/30
Abstract: Users may have a variety of photos, but lack a mechanism to organize the photos. For example, a user may desire to access a photo of a child in front of a national monument, but may be unable to locate the photo amongst the photos. Accordingly, a photo query may be generated utilizing a photo query interface populated with a face query attribute (e.g., a proxy icon, a photo of a face, etc.), a face position attribute (e.g., a position of the face query attribute), and/or a location query attribute (e.g., a background of a photo, such as a forest, a monument, etc.) using drag and drop functionality and/or any other query construction functionality. One or more photos having attributes corresponding to the photo query may be identified and provided to the user.
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