Abstract: Implementations relate to sharing images and image albums over a communication network. In some implementations, a computer-implemented method includes determining that a shared album data structure is accessible by a device and includes references to album images. The device determines one or more suggested images from a collection of stored images associated with a user, based on determining sharing scores for the stored images. The sharing scores are based on comparing one or more characteristics of the stored images to one or more corresponding characteristics of the album images. The method includes causing display of the one or more suggested images by the device, receiving a selection of at least one selected image of the suggested images based on received user input, and causing an update of the shared album data structure with the at least one selected image to be accessible over a communication network by recipient users.

Abstract: The present disclosure relates generally to threat detection, and more particularly, to techniques for analyzing security events using dynamic policies and displaying a consolidated view of active threats and user activity including the dynamic policies being triggered by the active threats and user activity. Some aspects are directed to the concept of a policy bus for injecting and communicating the dynamic policies to multiple enforcement entities and the ability of the entities to respond to the policies dynamically. Other aspects are directed providing a consolidated view of active threat categories, a count of policies being triggered for each threat category, and associated trends. Yet other aspects are directed to providing a consolidated view of users, applications being accessed by users, and the access policies, if any, implicated by the such accesses.

Abstract: The present disclosure relates generally to threat detection, and more particularly, to techniques for analyzing security events using dynamic policies and displaying a consolidated view of active threats and user activity including the dynamic policies being triggered by the active threats and user activity. Some aspects are directed to the concept of a policy bus for injecting and communicating the dynamic policies to multiple enforcement entities and the ability of the entities to respond to the policies dynamically. Other aspects are directed providing a consolidated view of active threat categories, a count of policies being triggered for each threat category, and associated trends. Yet other aspects are directed to providing a consolidated view of users, applications being accessed by users, and the access policies, if any, implicated by the such accesses.

Abstract: Implementations generally relate to ranking and selecting images for display from a set of images. In some implementations, a computer-implemented method includes providing selected images for display, including examining characteristics of a plurality of images, where the examined characteristics include two or more of: visual capture characteristics, visual content characteristics, and social popularity characteristics of the images. The method determines individual scores for the respective examined characteristics of the images, determines overall scores of the images based on a combination of the individual scores for the examined characteristics of the images, and determines a ranking of the images based on the overall scores. The method selects one or more images based on the ranking of the images, and causes a display of the one or more selected images.

Abstract: A method includes grouping media items associated with a user into segments based on a timestamp associated with each media item and a total number of media items. The method also includes selecting target media from the media items for each of the segments based on media attributes associated with the media item. The method also includes generating a video that includes the target media for each of the segments by generating a first animation that illustrates a first transition from a first item from the target media to a second item from the target media with movement of the first item from an onscreen location to an offscreen location, wherein the first item is adjacent to the second item in the first animation and determining whether the target media includes one or more additional items. The method also includes adding a song to the video.

Abstract: A method includes grouping media items associated with a user into segments based on a timestamp associated with each media item and a total number of media items. The method also includes selecting target media from the media items for each of the segments based on media attributes associated with the media item. The method also includes generating a video that includes the target media for each of the segments by generating a first animation that illustrates a first transition from a first item from the target media to a second item from the target media with movement of the first item from an onscreen location to an offscreen location, wherein the first item is adjacent to the second item in the first animation and determining whether the target media includes one or more additional items. The method also includes adding a song to the video.

Abstract: 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.

Abstract: 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.

Abstract: Implementations generally relate to ranking and selecting images for display from a set of images. In some implementations, a computer-implemented method includes providing selected images for display, including examining characteristics of a plurality of images, where the examined characteristics include two or more of: visual capture characteristics, visual content characteristics, and social popularity characteristics of the images. The method determines individual scores for the respective examined characteristics of the images, determines overall scores of the images based on a combination of the individual scores for the examined characteristics of the images, and determines a ranking of the images based on the overall scores. The method selects one or more images based on the ranking of the images, and causes a display of the one or more selected images.

Abstract: The present disclosure relates generally to threat detection, and more particularly, to techniques for analyzing security events using dynamic policies and displaying a consolidated view of active threats and user activity including the dynamic policies being triggered by the active threats and user activity. Some aspects are directed to the concept of a policy bus for injecting and communicating the dynamic policies to multiple enforcement entities and the ability of the entities to respond to the policies dynamically. Other aspects are directed providing a consolidated view of active threat categories, a count of policies being triggered for each threat category, and associated trends. Yet other aspects are directed to providing a consolidated view of users, applications being accessed by users, and the access policies, if any, implicated by the such accesses.

Abstract: The present disclosure relates generally to threat detection, and more particularly, to techniques for analyzing security events using dynamic policies and displaying a consolidated view of active threats and user activity including the dynamic policies being triggered by the active threats and user activity. Some aspects are directed to the concept of a policy bus for injecting and communicating the dynamic policies to multiple enforcement entities and the ability of the entities to respond to the policies dynamically. Other aspects are directed providing a consolidated view of active threat categories, a count of policies being triggered for each threat category, and associated trends. Yet other aspects are directed to providing a consolidated view of users, applications being accessed by users, and the access policies, if any, implicated by the such accesses.

Abstract: The present disclosure relates generally to threat detection, and more particularly, to techniques for analyzing security events using dynamic policies and displaying a consolidated view of active threats and user activity including the dynamic policies being triggered by the active threats and user activity. Some aspects are directed to the concept of a policy bus for injecting and communicating the dynamic policies to multiple enforcement entities and the ability of the entities to respond to the policies dynamically. Other aspects are directed providing a consolidated view of active threat categories, a count of policies being triggered for each threat category, and associated trends. Yet other aspects are directed to providing a consolidated view of users, applications being accessed by users, and the access policies, if any, implicated by the such accesses.

Abstract: Implementations relate to generating theme-based videos. In some implementations, a computer-implemented method to automatically generate a theme-based video includes obtaining image criteria for a theme from a theme definition, querying an image database to obtain a plurality of images that meet the image criteria, determining that a count of the plurality of images satisfies a threshold based on the theme definition, and generating the theme-based video that includes one or more of the plurality of images.

Abstract: Implementations generally relate to ranking and selecting images for display from a set of images. In some implementations, a computer-implemented method includes providing selected images for display, including examining characteristics of a plurality of images, where the examined characteristics include two or more of: visual capture characteristics, visual content characteristics, and social popularity characteristics of the images. The method determines individual scores for the respective examined characteristics of the images, determines overall scores of the images based on a combination of the individual scores for the examined characteristics of the images, and determines a ranking of the images based on the overall scores. The method selects one or more images based on the ranking of the images, and causes a display of the one or more selected images.

Abstract: A method includes grouping media items associated with a user into segments based on a timestamp associated with each media item and a total number of media items. The method also includes selecting target media from the media items for each of the segments based on media attributes associated with the media item. The method also includes generating a video that includes the target media for each of the segments by generating a first animation that illustrates a first transition from a first item from the target media to a second item from the target media with movement of the first item from an onscreen location to an offscreen location, wherein the first item is adjacent to the second item in the first animation and determining whether the target media includes one or more additional items. The method also includes adding a song to the video.

Abstract: A method includes grouping media items associated with a user into segments based on a timestamp associated with each media item and a total number of media items. The method also includes selecting target media from the media items for each of the segments based on media attributes associated with the media item. The method also includes generating a video that includes the target media for each of the segments by generating a first animation that illustrates a first transition from a first item from the target media to a second item from the target media with movement of the first item from an onscreen location to an offscreen location, wherein the first item is adjacent to the second item in the first animation and determining whether the target media includes one or more additional items. The method also includes adding a song to the video.

Abstract: A method includes grouping media items associated with a user into segments based on a timestamp associated with each media item and a total number of media items. The method also includes selecting target media from the media items for each of the segments based on media attributes associated with the media item. The method also includes generating a video that includes the target media for each of the segments by generating a first animation that illustrates a first transition from a first item from the target media to a second item from the target media with movement of the first item from an onscreen location to an offscreen location, wherein the first item is adjacent to the second item in the first animation and determining whether the target media includes one or more additional items. The method also includes adding a song to the video.

Abstract: Implementations relate to sharing images and image albums over a communication network. In some implementations, a computer-implemented method includes determining that a shared album data structure is accessible by a device and includes references to album images. The device determines one or more suggested images from a collection of stored images associated with a user, based on determining sharing scores for the stored images. The sharing scores are based on comparing one or more characteristics of the stored images to one or more corresponding characteristics of the album images. The method includes causing display of the one or more suggested images by the device, receiving a selection of at least one selected image of the suggested images based on received user input, and causing an update of the shared album data structure with the at least one selected image to be accessible over a communication network by recipient users.

Abstract: Implementations relate to providing selected images from a set of images. In some implementations, a computer-executed method includes receiving a request from a device for one or more images, where the request specifies one or more specified time periods at each of one or more specified time scales. One or more groups of selected images are determined from a set of images, each group being within one of the one or more specified time periods at one of the one or more specified time scales. One or more of the selected images from the one or more groups are caused to be sent to the device.

Abstract: Line segments are classified according to orientation to improve list mode reconstruction of tomography data using graphics processing units (GPUs). The new approach addresses challenges which include compute thread divergence and random memory access by exploiting GPU capabilities such as shared memory and atomic operations. The benefits of the GPU implementation are compared with a reference CPU-based code. When applied to positron emission tomography (PET) image reconstruction, the GPU implementation is 43× faster, and images are virtually identical. In particular, the deviation between the GPU and the CPU implementation is less than 0.08% (RMS) after five iterations of the reconstruction algorithm, which is of negligible consequence in typical clinical applications.