Google Inc.

James Aspinall

Steve Chien

Mark Yinan Li

Ruwen Hess

Marc Andreas Schaub

Zhou Bailiang

Frank D Russo

Luuk Van Dijk

Finnegan Southey

Benjamin James Anderson

Quang Duong

Paul Donnelly

Benjamin Ernest Anderson

Juan Carlos Miguel Anorga

Kyungmin Lee

Haoran Man

Nivetha Govindaraju

Nicholas Tsoi-a-sue

Wei Zheng

Guillermo Krovblit

Daniel Robert Jenstad

Dae Woong Daniel Kim

Andre Santoso

Implementations described herein relate to providing device messages in image compilations based on user content. A computer-implemented method includes determining that a playback mode is entered on a device to display one or more image compilations, each image compilation including images for successive display. Message criteria are obtained for device messages, each device message indicating a device function associated with images of the image compilations or of a user image library. A device message is selected based on associated message criteria. An image is identified in the user image library, the image being in the image compilations, depicts a type of image feature in the image compilations, and/or has characteristic(s) modifiable by the device function. The device message is displayed during image compilation playback and includes the identified image and a message control option. In response to user selection of the message control option, the device function is initiated.

Device messages provided in displayed image compilations based on user content

Presented are techniques of identifying, processing and displaying data point clusters associated with map information in an efficient manner Methods and systems are disclosed which process map information to identify clusters of requested data points for display, based on iterative clustering and filtering of the data points. Methods and systems are also disclosed which generate polygons representing the clusters. The amount of data to be processed and/or displayed can be reduced, without loss of any associated information content in a displayed map.

Identifying, processing and displaying data point clusters

Presented are techniques of identifying, processing and displaying data point clusters associated with map information in an efficient manner. Methods and systems are disclosed which process map information to identify clusters of requested data points for display, based on iterative clustering and filtering of the data points. Methods and systems are also disclosed which generate polygons representing the clusters. The amount of data to be processed and/or displayed can be reduced, without loss of any associated information content in a displayed map.

Real-time busyness information is for a public place is computed in a privacy-sensitive way, and provided for display in relation to historical busyness information. An aggregate amount of real-time location information available for a particular public place is measured (), and used to determine () whether the public place is privacy-qualified. If the public place is privacy-qualified, real-time busyness information is computed () for the public place based on the real-time location information. Further, it is determined () whether the computed real-time busyness information is accuracy-qualified, based on a comparison of the real-time busyness information to historical busyness information. If both qualifications are met, the real-time busyness information is output () for display or to another application.

Realtime busyness for places

Implementations described herein relate to methods, devices, and computer-readable media to display a user interface that includes a map portion and a grid portion. A method includes identifying a first set of images that match a first region of a digital map and causing a user interface to be displayed that includes a map portion that corresponds to the first region of the digital map and a grid portion that includes images of the first set. The method further includes receiving user input indicative of a second region of the digital map. The method further includes identifying a second set of images that match the second region of the digital map and updating the user interface such that the map portion of the updated user interface corresponds to the second region of the digital map and the grid portion of the updated user interface includes images of the second set.

Viewing images on a digital map

Presented are techniques of identifying, processing and displaying data point clusters () associated with map information () in an efficient manner. Methods and systems are disclosed which process map information () to identify clusters () of requested data points for display (), based on iterative clustering and filtering of the data points. Methods and systems are also disclosed which generate polygons (-) representing the clusters. The amount of data to be processed and/or displayed can be reduced, without loss of any associated information content in a displayed map.

Growing community of inventors

San Francisco, CA, United States of America

James Aspinall