Bryan Allen Plummer

US Patent:

20190244271, Aug 8, 2019

Filed:

Apr 18, 2019

Appl. No.:

16/388473

Inventors:

- San Jose CA, US
Timothy Samuel Keefer - San Jose CA, US
Kenneth Clark Crookston - Freiberg, DE
Ashmeet Singh Rekhi - Campbell CA, US
Niaz Ahamed Khaja Nazimudeen - Fremont CA, US
Padmapriya Gudipati - San Jose CA, US
Shane Lin - Mountain View CA, US
John F. Weigel - San Jose CA, US
Fujun Zhong - Saratoga CA, US
Suchitra Ramesh - San Jose CA, US
Mohammadhadi Kiapour - San Francisco CA, US
Shuai Zheng - Berkeley CA, US
Alberto Ordonez Pereira - Santa Clara CA, US
Ravindra Surya Lanka - San Jose CA, US
Md Atiq ul Islam - San Jose CA, US
Nicholas Anthony Whyte - San Jose CA, US
Giridharan Iyengar - San Jose CA, US
Bryan Allen Plummer - Urbana IL, US

Assignee:

eBay Inc. - San Jose CA

International Classification:

G06Q 30/06
G06K 9/62

Abstract:

Computer vision and image characteristic search is described. The described system leverages visual search techniques by determining visual characteristics of objects depicted in images and comparing the determined characteristics to visual characteristics of other images, e.g., to identify similar visual characteristics in the other images. In some aspects, the described system performs searches that leverage a digital image as part of a search query to locate digital content of interest. In some aspects, the described system surfaces multiple user interface instrumentalities that include images of patterns, textures, or materials and that are selectable to initiate a visual search of digital content having a similar pattern, texture, or material. The described aspects also include pattern-based authentication in which the system determines authenticity of an item in an image based on a similarity of its visual characteristics to visual characteristics of known authentic items.

US Patent:

20190205333, Jul 4, 2019

Filed:

Dec 28, 2018

Appl. No.:

16/235290

Inventors:

- San Jose CA, US
Timothy Samuel Keefer - San Jose CA, US
Ashmeet Singh Rekhi - Campbell CA, US
Padmapriya Gudipati - San Jose CA, US
Mohammadhadi Kiapour - San Francisco CA, US
Shuai Zheng - Berkeley CA, US
Alberto Ordonez Pereira - Santa Clara CA, US
Ravindra Surya Lanka - San Jose CA, US
Md Atiq ul Islam - San Jose CA, US
Nicholas Anthony Whyte - San Jose CA, US
Giridharan Iyengar - San Jose CA, US
Bryan Allen Plummer - Urbana IL, US

Assignee:

eBay Inc. - San Jose CA

International Classification:

G06F 16/532
G06K 9/66
G06F 16/538
G06F 16/9535

Abstract:

Computer vision for unsuccessful queries and iterative search is described. The described system leverages visual search techniques by determining visual characteristics of objects depicted in images and describing them, e.g., using feature vectors. In some aspects, these visual characteristics are determined for search queries that are identified as not being successful. Aggregated information describing visual characteristics of images of unsuccessful search queries is used to determine common visual characteristics and objects depicted in those images. This information can be used to inform other users about unmet needs of searching users. In some aspects, these visual characteristics are used in connection with iterative image searches where users select an initial query image and then the search results are iteratively refined. Unlike conventional techniques, the described system iteratively refines the returned search results using an embedding space learned from binary attribute labels describing images.

US Patent:

20190205962, Jul 4, 2019

Filed:

Dec 28, 2018

Appl. No.:

16/235140

Inventors:

- San Jose CA, US
Timothy Samuel Keefer - San Jose CA, US
Kenneth Clark Crookston - Freiberg, DE
Ashmeet Singh Rekhi - Campbell CA, US
Niaz Ahamed Khaja Nazimudeen - Fremont CA, US
Padmapriya Gudipati - San Jose CA, US
Shane Lin - Mountain View CA, US
John F. Weigel - San Jose CA, US
Fujun Zhong - Saratoga CA, US
Suchitra Ramesh - San Jose CA, US
Mohammadhadi Kiapour - San Francisco CA, US
Shuai Zheng - Berkeley CA, US
Alberto Ordonez Pereira - Santa Clara CA, US
Ravindra Surya Lanka - San Jose CA, US
Md Atiq ul Islam - San Jose CA, US
Nicholas Anthony Whyte - San Jose CA, US
Giridharan Iyengar - San Jose CA, US
Bryan Allen Plummer - Urbana IL, US

Assignee:

eBay Inc. - San Jose CA

International Classification:

G06Q 30/06
G06K 9/62

Abstract:

Computer vision and image characteristic search is described. The described system leverages visual search techniques by determining visual characteristics of objects depicted in images and comparing the determined characteristics to visual characteristics of other images, e.g., to identify similar visual characteristics in the other images. In some aspects, the described system performs searches that leverage a digital image as part of a search query to locate digital content of interest. In some aspects, the described system surfaces multiple user interface instrumentalities that include images of patterns, textures, or materials and that are selectable to initiate a visual search of digital content having a similar pattern, texture, or material. The described aspects also include pattern-based authentication in which the system determines authenticity of an item in an image based on a similarity of its visual characteristics to visual characteristics of known authentic items.

US Patent:

20170132951, May 11, 2017

Filed:

Jan 19, 2017

Appl. No.:

15/410445

Inventors:

- Bloomington IL, US
Steve Roberson - Normal IL, US
Abhishek Harish - Champaign IL, US
Hyunji Lim - Champaign IL, US
Matthew James Waughtel - Cuba IL, US
Bryan Allen Plummer - Urbana IL, US
Parker Andrew Brown - Mundelein IL, US

Assignee:

STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY - Bloomington IL

International Classification:

G09B 19/16
B60K 35/00
G09B 5/00

Abstract:

In an embodiment, movement-data is gathered with one or more sensors (e.g., accelerometers, GPS receivers, etc.) during a driver's driving session. A score may be calculated for the driving session, and the driver's progress is evaluated by a driver-evaluation system. A driving session report or graphical user-interface (GUI) is generated with a computer processor and displayed at a display device. The displayed report or GUI includes a graphic representing the driver's progress relative to historical data.