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公开(公告)号：US10346893B1
公开(公告)日：2019-07-09
申请号：US15076332
申请日：2016-03-21
Applicant: A9.com, Inc.
Inventor： Lixin Duan , Rahul Bhotika , Song Cao
IPC: G06Q30/00 , G06Q30/06 , G06N20/00 , G06F16/28 , G06F16/9535 , G06F16/2457
Abstract: Machine learning-based approaches are used to identify complementary sets of items, such as articles of clothing and accessories that “match,” and suggest items that would complement a given item of interest. A simulated representation of how the item of interest and the identified complementary items would look together is then generated. For example, given a particular piece of clothing or other apparel item of interest, additional items that complement the item of interest can be identified and suggested to a potential purchaser of the item. Additionally, a three-dimensional (3D) or pseudo-3D representation of a human body can be generated to model the apparel item of interest and the identified complementary apparel items to give the user an idea of how the suggested outfit would look on a user. The representation can be modified to more closely resemble a particular user.
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公开(公告)号：US10026229B1
公开(公告)日：2018-07-17
申请号：US15019257
申请日：2016-02-09
Applicant: A9.com, Inc.
Inventor： Ismet Zeki Yalniz , Rahul Bhotika , Song Cao , Michael Patrick Cutter , Colin Jon Taylor , Mark Scott Waldo , Chun-Kai Wang , Daniya Zamalieva
Abstract: An auxiliary device can be used to display a fiducial that contains information useful in determining the physical size of the fiducial as displayed on the auxiliary device. A primary device can capture image data including a representation of the fiducial. The scale and orientation of the fiducial can be determined, such that a graphical overlay can be generated of an item of interest that corresponds to that scale and orientation. The overlay can then be displayed along with the captured image data, in order to provide an augmented reality experience wherein the image displayed on the primary device represents a scale-appropriate view of the item in a location of interest corresponding to the location of the auxiliary device. As the primary device is moved and the viewpoint of the camera changes, changes in relative scale and orientation to the fiducial are determined and the overlay is updated accordingly.
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公开(公告)号：US10380461B1
公开(公告)日：2019-08-13
申请号：US15789789
申请日：2017-10-20
Applicant: A9.com, Inc.
Inventor： Avinash Aghoram Ravichandran , Matias Omar Gregorio Benitez , Rahul Bhotika , Scott Daniel Helmer , Anshul Kumar Jain , Junxiong Jia , Rakesh Madhavan Nambiar , Oleg Rybakov
Abstract: Approaches introduce a pre-processing and post-processing framework to a neural network-based approach to identify items represented in an image. For example, a classifier that is trained on several categories can be provided. An image that includes a representation of an item of interest is obtained. Rotated versions of the image are generated and each of a subset of the rotated images is analyzed to determine a probability that a respective image includes an instance of a particular category. The probabilities can be used to determine a probability distribution of output category data, and the data can be analyzed to select an image of the rotated versions of the image. Thereafter, a categorization tree can then be utilized, whereby for the item of interest represented the image, the category of the item can be determined. The determined category can be provided to an item retrieval algorithm to determine primary content for the item of interest. This information also can be used to determine recommendations, advertising, or other supplemental content, within a specific category, to be displayed with the primary content.
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公开(公告)号：US09830534B1
公开(公告)日：2017-11-28
申请号：US14971691
申请日：2015-12-16
Applicant: A9.com, Inc.
Inventor： Avinash Aghoram Ravichandran , Matias Omar Gregorio Benitez , Rahul Bhotika , Scott Daniel Helmer , Anshul Kumar Jain , Junxiong Jia , Rakesh Madhavan Nambiar , Oleg Rybakov
CPC classification number: G06K9/00671 , G06K9/22 , G06K9/6282 , G06T7/0042 , G06T7/0079 , G06T11/00
Abstract: Approaches introduce a pre-processing and post-processing framework to a neural network-based approach to identify items represented in an image. For example, a classifier that is trained on several categories can be provided. An image that includes a representation of an item of interest is obtained. Rotated versions of the image are generated and each of a subset of the rotated images is analyzed to determine a probability that a respective image includes an instance of a particular category. The probabilities can be used to determine a probability distribution of output category data, and the data can be analyzed to select an image of the rotated versions of the image. Thereafter, a categorization tree can then be utilized, whereby for the item of interest represented the image, the category of the item can be determined. The determined category can be provided to an item retrieval algorithm to determine primary content for the item of interest. This information also can be used to determine recommendations, advertising, or other supplemental content, within a specific category, to be displayed with the primary content.
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Patent Agency Ranking
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：US10824942B1
公开(公告)日：2020-11-03
申请号：US15483378
申请日：2017-04-10
Applicant: A9.com, Inc.
Inventor： Rahul Bhotika , Avinash Aghoram Ravichandran
Abstract: Embodiments described herein are directed to allowing manipulation of visual attributes of a query image while preserving the visual attributes of a query image. A query image can be received and analyzed using a trained network to determine a set of items whose images demonstrate visual similarity to the query image across a plurality of visual attributes. Visual attributes of the query image may be manipulated to allow a user to search for items that incorporate the desired manipulated visual attributes while preserving the visual attributes of the query image. Content for at least a determined number of highest ranked, or most similar, items related to the modified visual attributes can then be provided.
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公开(公告)号：US10776417B1
公开(公告)日：2020-09-15
申请号：US15866231
申请日：2018-01-09
Applicant: A9.com, Inc.
Inventor： Avinash Aghoram Ravichandran , Michael Quang Thai Lam , Rahul Bhotika
IPC: G06Q30/00 , G06F16/583 , G06Q30/06 , G06N5/04 , G06K9/66 , G06N3/02 , G06F16/532
Abstract: Various embodiments provide for visual similarity based search techniques that certain desirable visual attributes of one or more items to search for items having similar visual attributes. In order to create an electronic catalog of items that is searchable by parts-based visual attributes, the visual attributes are identified and corresponding feature vectors are extracted from the image data of each item. Thus, feature values of parts-based visual attributes of items in the electronic catalog can be determined and used to select or rank the items in response to a search query based on desirable visual attributes. To conduct a search, a user may define desirable visual attributes of one or more items. The feature vectors of the desirable visual attributes are determined and used to query the electronic catalog of items, in which items having visual attributes of similar feature vectors are selected and returned as search results.
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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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