Google Inc.

Madhur Khandelwal

Parthsarthi Mishra

Juan Carlos Anorga

Sharadh Ramaswamy

David Foster Lieb

Matthew John Bridges

Joao Paulo Gil De Paiva

Jingyu Cui

Timothy Priestley Novikoff

Leslie Ikemoto

Evan Stephen Millar

Shaun Tungseth

Austin Suszek

Jorge Verdu

Marc Cannon

Alexander Roe

Songbo Jin

Ruirui Jiang

Jeremy Selier

Gang Song

Mugdha Kulkarni

Zihao Wang

Raja Ratna Murthy Ayyagari

Shengyang Dai

Shinko Yuanhsien Cheng

Paul Sowden

Kristina Tiffany Eng

Indrajit Khare

Eunyoung Kim

David Loxton

Carsten Hinz

Some implementations related to archiving of functional images. In some implementations, a method includes accessing images and determining one or more functional labels corresponding to each of the images and one or more confidence scores corresponding to the functional labels. A functional image score is determined for each of the images based on the functional labels having a corresponding confidence score that meets a respective threshold for the functional labels. In response to determining that the functional image score meets a functional image score threshold, a functional image signal is provided that indicates that one or more of the images that meet the functional image score threshold are functional images. The functional images are determined to be archived, and are archived by associating an archive attribute with the functional images such that functional images having the archive attribute are excluded from display in views of the images.

Functional image archiving

Implementations relate to causing a command to be executed based on an image. In some implementations, a computer-implemented method includes obtaining and programmatically analyzing an image to determine suggested actions. The method causes a user interface to be displayed that includes user interface elements corresponding to default actions, and to suggested actions that are determined based on analyzing the image. The method receives user input indicative of selection of a particular action from the default actions and the suggested actions. The method causes a command to be executed by a computing device for the particular action that was selected.

Suggested actions for images

Implementations relate to relate to interface elements for directed display of content data items. In some implementations, a method includes causing a subset of content elements to be presented in a display view of a graphical user interface on a device, the set of content elements corresponding to a collection of content data items. Search topics are identified based on one or more content characteristics associated with content elements that are within a threshold distance of the subset of content elements in the display view. Topic elements are displayed in the interface, corresponding to the search topics. In response to a selection of a particular topic element based on user input, the collection of content data items is searched to identify resulting content data items that have content characteristics corresponding to the selected search topic. The display view is updated to present resulting content elements.

Interface elements for directed display of content data items

Implementations relate to an image grid with selectively prominent images. In some implementations, a computer-implemented method includes identifying a plurality of images, where each image of the plurality of images has a respective importance score. A subset of the images is selected based at least in part on the respective importance score for each image. The method determines respective one or more cells in a grid for occupation by each of the images, where at least one image of the subset is placed in the grid such that it occupies at least two cells in the grid. The method causes the images to be displayed in a user interface on a display screen based on the grid.

Image grid with selectively prominent images

Implementations relate to removal of one or more images from a view of a plurality of images. In some implementations, a method includes obtaining a plurality of images, programmatically analyzing the plurality of images to determine a plurality of image features, and determining one or more image categories for the plurality of images based on the image features. The method further includes identifying a subset of the plurality of images based on the image categories, wherein each image of the subset is associated with an image category for archival. The method further includes causing a user interface to be displayed that includes one or more images of the subset, receiving user input to archive at least one of the one or more images, and in response to the user input, removing the at least one of the images from a view of the plurality of images.

Image archival based on image categories

Implementations generally relate to retrieving images from a device for consumption by the receiving device. In some implementations, a computing device may receive from a communication device an update to a collection of images including at least one image not previously received in a prior version of the collection. The computing device may store in long term memory the update to the collection and copy at least one of the images from the update to a non-persistent memory. The images in non-persistent memory may not exceed a maximum threshold. In response to the computing device changing from inactive to active, the computing device may display an image from non-persistent memory as a background image on the computing device. In further response to a minimum threshold number of images in non-persistent memory, the computing device may copy at least one of the new images to non-persistent memory.

Image retrieval for computing devices

Display screen with animated icon

Display screen with a transitional graphical user interface for image navigation and selection

Display screen with icon

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Sunnyvale, CA, United States of America

Madhur Khandelwal