公开(公告)号：US11093973B2

公开(公告)日：2021-08-17

申请号：US16538624

申请日：2019-08-12

Applicant: Google LLC

Inventor： Shumeet Baluja ,  Vibhu Mittal ,  Mehran Sahami

IPC: G06Q30/00 ,  G06Q30/02 ,  G06F40/103

Abstract: Ad rendering parameters for a set of two or more ads may be determined by (a) accepting, for a set of two or more ads, ad information which includes at least one ad feature having a value that depends on ad rendering parameters, and (b) determining ad rendering parameters for at least one ad from the set of two or more ads using the accepted ad information. The act of determining ad rendering parameters may use accepted ad rendering constraints. The ad rendering constraints may include space available for rendering the ads, a footprint available for rendering the ads, and/or a maximum number of ads permitted to be rendered. The act of determining ad rendering parameters may include maximizing a value associated with serving at least one ad from the set of two or more ads with ad rendering parameters subject to the ad rendering constraints. The ad rendering parameters may include sizes of the served ads, and/or a layout of the served ads.

公开(公告)号：US20200184592A1

公开(公告)日：2020-06-11

申请号：US16614983

申请日：2018-02-13

Applicant: Google LLC

Inventor： Shumeet Baluja

IPC: G06T1/00 ,  G06N3/08 ,  G06N3/04

Abstract: The present disclosure provides systems and methods for hiding information using deep neural networks. In one example, a computer-implemented method is provided to train neural networks for hiding images, which includes inputting a package image and a cover image into an image hiding neural network and generating a carrier image as an output, the carrier image comprising the package image hidden within the cover image. The method includes inputting the carrier image into an image decoding neural network and generating a reconstruction of the package image as an output. The method includes simultaneously training the image decoding neural network based at least in part on a first loss function that describes a difference between the package image and the reconstruction of the package image and the image hiding neural network based at least in part on the first loss function and on a second loss function that describes a difference between the cover image and the carrier image.

公开(公告)号：US10582030B2

公开(公告)日：2020-03-03

申请号：US14329158

申请日：2014-07-11

Applicant: Google LLC

Inventor： Elad Gil ,  Shumeet Baluja ,  Maryam Garrett ,  Cedric Beust

IPC: G06F16/248 ,  H04M1/00 ,  H04M1/725

Abstract: Systems and techniques, including computer software, for retrieving information to a mobile device involve installing a data retrieval application on the mobile device. The data retrieval application includes instructions for presenting a structured data display on the mobile device, defining a structure of the structured data display, requesting selected hyperlinks included in the structured data display, and rendering markup language information received in response to the selected hyperlinks. A user request to retrieve data through the data retrieval application is received, and data is retrieved in response to the received user request. The retrieved data is displayed according to the structure of the structured data display, and a user can select a hyperlink in the displayed data to retrieve and render markup language information using the data retrieval application.

公开(公告)号：US20190172102A1

公开(公告)日：2019-06-06

申请号：US16266927

申请日：2019-02-04

Applicant: Google LLC

Inventor： Shumeet Baluja ,  Henry A. Rowley

IPC: G06Q30/02 ,  H04L29/08

Abstract: Font or format-based heuristic extraction of data structures are described. A data structure storage entity is accessed. A heuristic extraction technique comprising a font or format-based policy is used to parse the data structure and extract data from the data structure. Content selection criteria is determined from the data extracted from the data structure using the parsing technique. Online content items are generated with the determined content selection criteria. An online content item is selected responsive to location information received via a global positioning component of a computing device. The computing device receives, via a network, the selected online content item and is instructed to render the selected online content item.

公开(公告)号：US10152728B2

公开(公告)日：2018-12-11

申请号：US14836287

申请日：2015-08-26

Applicant: Google LLC

Inventor： Yushi Jing ,  Shumeet Baluja

IPC: G06Q30/02 ,  G06Q30/08

Abstract: Techniques for identifying groups of local features in an image and presenting advertisement information associated with stored images that match one or more features within the group of local features are described. The techniques include providing an image, identifying a region of interest in the image, providing a user-selectable link associated with the region of interest in the image, receiving a request for the region of interest in the image via the user-selectable link, and presenting advertisement information associated with a stored image that matches one or more features within the requested region of interest.

公开(公告)号：US20180231390A1

公开(公告)日：2018-08-16

申请号：US15950645

申请日：2018-04-11

Applicant: Google LLC

Inventor： Henry Allan Rowley ,  Shumeet Baluja

IPC: G01C21/36 ,  G06Q30/02 ,  G08G1/0968 ,  G01C21/34

CPC classification number: G01C21/3605 ,  G01C21/3484 ,  G01C21/3492 ,  G01C21/3617 ,  G06Q30/0261 ,  G06Q30/0267 ,  G06Q30/0269 ,  G08G1/096811 ,  G08G1/096838 ,  G08G1/096844 ,  G08G1/096883 ,  G08G1/096888

Abstract: A computer-implemented method of providing personalized route information involves gathering a plurality of past location indicators over time for a wireless client device, determining a future driving objective using the plurality of previously-gathered location indicators, obtaining real-time traffic data for an area proximate to the determined driving objective, and generating a suggested route for the driving objective using the near real-time traffic data.

公开(公告)号：US20180046685A1

公开(公告)日：2018-02-15

申请号：US15791584

申请日：2017-10-24

Applicant: Google LLC

Inventor： Shumeet Baluja ,  Henry Allan Rowley

IPC: G06F17/30 ,  G06F3/0482 ,  G06F3/0484

CPC classification number: G06F17/30554 ,  G06F3/0482 ,  G06F3/04842 ,  G06F17/30864 ,  G06F17/30867 ,  G06F17/30882

Abstract: A computer-implemented method for generating results for a client-requested query involves receiving a query produced by a client communication device, generating a result for the query in response to reception of the query, determining one or more predictive follow-up requests before receiving an actual follow-up request from the client device, and initiating retrieval of information associated with the one or more predictive follow-up requests, and transmitting at least part of the result to the client device, and then transmitting to the client device at least part of the information associated with the one or more predictive follow-up requests.