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公开(公告)号:US20190236098A1
公开(公告)日:2019-08-01
申请号:US16378230
申请日:2019-04-08
Applicant: A9.com, Inc.
Inventor: Rahul Bhotika , Lixin Duan , Oleg Rybakov , Jian Dong
IPC: G06F16/583 , G06F16/2457 , G06F16/58 , G06F16/54 , G06F16/248 , G06F16/28
CPC classification number: G06F16/5838 , G06F16/24578 , G06F16/248 , G06F16/287 , G06F16/54 , G06F16/5866
Abstract: Various approaches discussed herein enable browsing groups of visually similar items to an item of interest, wherein the item of interest may be identified in a query image, for example. One or more visual attributes associated with the item of interest are identified, and the visually similar items matching at least one of the visual attributes are grouped together, wherein the group is ranked according to the visually similar items' overall visual similarity to the item of interest, for example by using a visual similarity score and/or metric.
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公开(公告)号:US11423076B2
公开(公告)日:2022-08-23
申请号:US16378230
申请日:2019-04-08
Applicant: A9.com, Inc.
Inventor: Rahul Bhotika , Lixin Duan , Oleg Rybakov , Jian Dong
IPC: G06F7/00 , G06F16/583 , G06F16/54 , G06F16/248 , G06F16/28 , G06F16/58 , G06F16/2457
Abstract: Various approaches discussed herein enable browsing groups of visually similar items to an item of interest, wherein the item of interest may be identified in a query image, for example. One or more visual attributes associated with the item of interest are identified, and the visually similar items matching at least one of the visual attributes are grouped together, wherein the group is ranked according to the visually similar items' overall visual similarity to the item of interest, for example by using a visual similarity score and/or metric.
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公开(公告)号:US10282431B1
公开(公告)日:2019-05-07
申请号:US14974388
申请日:2015-12-18
Applicant: A9.com, Inc.
Inventor: Rahul Bhotika , Lixin Duan , Oleg Rybakov , Jian Dong
Abstract: Various approaches discussed herein enable browsing groups of visually similar items to an item of interest, wherein the item of interest may be identified in a query image, for example. One ore more visual attributes associated with the item of interest are identified, and the visually similar items matching at least one of the visual attributes are grouped together, wherein the group is ranked according to the visually similar items' overall visual similarity to the item of interest, for example by using a visual similarity score and/or metric.
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