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.

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.

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

IPC: G06N3/08 ,  G06F17/30

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.

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

IPC: G06Q30/06 ,  G06T7/11

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.

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.

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.

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.

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

IPC: G06N3/08 ,  G06F17/30 ,  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.

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.