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公开(公告)号:US20200098011A1
公开(公告)日:2020-03-26
申请号:US16694691
申请日:2019-11-25
Applicant: Google LLC
Inventor: Keith Bonawitz , Daniel Ramage , David Petrou
Abstract: Systems and methods are shown for providing private local sponsored content selection and improving intelligence models through distribution among mobile devices. This allows greater data gathering capabilities through the use of the sensors of the mobile devices as well as data stored on data storage components of the mobile devices to create predicted models while offering better opportunities to preserve privacy. Locally stored profiles comprising machine intelligence models may also be used to determine the relevance of the data gathered and in improving an aggregated model for identifying the relevance of data and the selection of sponsored content items. Distributed optimization is used in conjunction with privacy techniques to create the improved machine intelligence models. Publishers may also benefit from the improved privacy by protecting the statistics of type or volume of sponsored content items shown with publisher content.
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公开(公告)号:US10509817B2
公开(公告)日:2019-12-17
申请号:US15425383
申请日:2017-02-06
Applicant: Google LLC
Inventor: Jeffrey C. Reynar , Michael Gordon , David J. Vespe , David Petrou , Andrew W. Hogue
IPC: G06F16/00 , G06F16/44 , G06F16/29 , G06F16/951 , G06F16/22 , G06F16/955 , G06F3/0482 , G06F3/0484
Abstract: Embodiments retrieve a set of search results that have been previously identified as having at least one associated date or location. A timeline or map is displayed that visually represents the distribution of the dates or locations within the results. The timeline is displayed with a histogram graph corresponding to the number of dates in the search results at points along the timeline. The map is displayed with markers at the locations corresponding to the locations in the search results. The user can navigate the result set using the displayed timeline or map.
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公开(公告)号:US10346493B1
公开(公告)日:2019-07-09
申请号:US15595019
申请日:2017-05-15
Applicant: Google LLC
Inventor: David Petrou , Matthew Sharifi
IPC: G06F17/30 , G06F16/9535 , G06F16/9032
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, relating to on-device query annotating. In some implementations, a search query is received, and a mobile device identifies a reference to a particular entity and a reference to a category based on the query. A model that is stored on the mobile device and stores one or more facts that are associated with one or more entities is accessed. A subset of facts from among the facts that are stored in the model for the particular entity is selected. The search query is annotated based at least on one or more facts of the subset of facts that are stored in the model for the particular entity. The annotated search query is transmitted, from the mobile device to a search engine, for processing. A result of processing the annotated search query is received by the mobile device.
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公开(公告)号:US10198457B2
公开(公告)日:2019-02-05
申请号:US15247542
申请日:2016-08-25
Applicant: Google LLC
Inventor: David Petrou , Matthew J. Bridges , Shailesh Nalawadi , Hartwig Adam , Matthew R. Casey , Hartmut Neven , Andrew Harp
IPC: G06K9/32 , G06F17/30 , G06F3/048 , G06K9/78 , H04N5/225 , G06K9/00 , G06K9/22 , G06K9/46 , G06K9/62
Abstract: A system and method of identifying objects is provided. In one aspect, the system and method includes a hand-held device with a display, camera and processor. As the camera captures images and displays them on the display, the processor compares the information retrieved in connection with one image with information retrieved in connection with subsequent images. The processor uses the result of such comparison to determine the object that is likely to be of greatest interest to the user. The display simultaneously displays the images the images as they are captured, the location of the object in an image, and information retrieved for the object.
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公开(公告)号:US20190012334A1
公开(公告)日:2019-01-10
申请号:US16131004
申请日:2018-09-13
Applicant: GOOGLE LLC
Inventor: David Petrou
IPC: G06F17/30
Abstract: A visual query such as a photograph, a screen shot, a scanned image, a video frame, or an image created by a content authoring application is submitted to a visual query search system. The search system processes the visual query by sending it to a plurality of parallel search systems, each implementing a distinct visual query search process. These parallel search systems may include but are not limited to optical character recognition (OCR), facial recognition, product recognition, bar code recognition, object-or-object-category recognition, named entity recognition, and color recognition. Then at least one search result is sent to the client system. In some embodiments, when the visual query is an image containing a text element and a non-text element, at least one search result includes an optical character recognition result for the text element and at least one image-match result for the non-text element.
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公开(公告)号:US10147197B2
公开(公告)日:2018-12-04
申请号:US15839797
申请日:2017-12-12
Applicant: Google LLC
Inventor: Dominik Roblek , David Petrou , Matthew Sharifi
IPC: G06T7/30 , G06F17/30 , G06T7/90 , G06F3/0484 , G06F3/0488
Abstract: Methods and apparatus directed to segmenting content displayed on a computing device into regions. The segmenting of content displayed on the computing device into regions is accomplished via analysis of pixels of a “screenshot image” that captures at least a portion of (e.g., all of) the displayed content. Individual pixels of the screenshot image may be analyzed to determine one or more regions of the screenshot image and to optionally assign a corresponding semantic type to each of the regions. Some implementations are further directed to generating, based on one or more of the regions, interactive content to provide for presentation to the user via the computing device.
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公开(公告)号:US10031927B2
公开(公告)日:2018-07-24
申请号:US14929958
申请日:2015-11-02
Applicant: Google LLC
Inventor: David Petrou , Andrew Rabinovich , Hartwig Adam
Abstract: A facial recognition search system identifies one or more likely names (or other personal identifiers) corresponding to the facial image(s) in a query as follows. After receiving the visual query with one or more facial images, the system identifies images that potentially match the respective facial image in accordance with visual similarity criteria. Then one or more persons associated with the potential images are identified. For each identified person, person-specific data comprising metrics of social connectivity to the requester are retrieved from a plurality of applications such as communications applications, social networking applications, calendar applications, and collaborative applications. An ordered list of persons is then generated by ranking the identified persons in accordance with at least metrics of visual similarity between the respective facial image and the potential image matches and with the social connection metrics. Finally, at least one person identifier from the list is sent to the requester.
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