Abstract: Described embodiments provide systems and methods for defining a clip within a recording. A device may generate a recording of a session of a user via which a plurality of applications is accessible. The device may detect a transition of an application of the plurality of applications in a foreground of the session. The device may identify, from the recording, a frame corresponding to the transition in the foreground. The device may store an identification of the frame corresponding to the transition to define a clip of the user within the recording using the application in the session.

Abstract: In some implementations, there may be provided a computer-implemented method that includes detecting, using at least one processor, a first action being executed on a data in a source computing application; determining, using the at least one processor, a source color theme associated with at least one of the source computing application and the data; determining, using the at least one processor, a destination color theme associated with a destination computing application, the destination computing application being communicatively coupled to the source application; comparing, using the at least one processor, the source color theme and the destination color theme; and executing, using the at least one processor, a second action on the data in the destination computing application based on the comparison of the source color theme and the destination color theme. Related systems, methods, and articles of manufacture are also disclosed.

Abstract: Described embodiments provide systems and methods for selecting a position for a user interface element. A device may detect a mode of holding the device by a hand of a user using an input of the user. The device may identify an arrangement defining a plurality of positions to present a corresponding plurality of user interface elements on a display based at least on the mode of holding. The device may determine a number of interactions by the hand of the user with a user interface element. The device may, from the plurality of positions, a position to present the user interface element on the display based at least on the number of interactions in accordance with the arrangement.

Abstract: Described embodiments provide systems and methods for defining a clip within a recording. A device may generate a recording of a session of a user via which a plurality of applications is accessible. The device may detect a transition of an application of the plurality of applications in a foreground of the session. The device may identify, from the recording, a frame corresponding to the transition in the foreground. The device may store an identification of the frame corresponding to the transition to define a clip of the user within the recording using the application in the session.

Abstract: Methods and systems for using machine learning to provide application recommendations are described herein. A computing device may capture a first edge frame of a first application displayed at the computing device. The computing device may apply machine learning to the first edge frame of the first application to identify a context tag. The computing device may identify applications subsequently accessed in a sequential manner after accessing the first application in a context corresponding to the identified context tag, where each of the applications corresponds to a context level score. The computing device may identify a second application, which may have a higher context level score than remaining applications. Along with the first application, the computing device may display a selectable interface element corresponding to the second application, and selection of the selectable interface element may cause display of an application list that includes the second application.

Abstract: Typically, when a user switches sessions between devices, the user authenticates the sessions by providing user account information, password, and/or pin code input or other credentials. However, when the user is frequently switching sessions between devices, authenticating sessions may result in the user reducing or even stopping switching across mobile devices. Systems and methods according to this disclosure provide automatic session roaming across mobile devices using proximity authentication. Upon detecting an indication to initiate session roaming, the source device automatically roams the session on the source device to a target device based on a proximity of the source device to the target device. The session is handed off from the source device to the target device as an authenticated user session.

Abstract: Methods and systems for determining information of applications are described herein. A computing device may receive, from one or more client devices, data indicating application usage events. The computing device may determine, based on the data, popular applications that a target user regularly uses. The computing device may determine, based on the data, recommended applications that users similar to the target user regularly use. The computing device may determine, based on the popular applications and/or the recommended applications, a collection of applications for the target user. The collection of applications may be displayed on a user interface of a client device associated with the target user for expedited access of interested applications.

Abstract: A method for video frame analysis includes determining a first dissimilarity metric and a second dissimilarity metric. The first dissimilarity metric may correspond to a first difference between a first foreground of a first key frame in a video and a second foreground of a second key frame following the first key frame in the video. The second dissimilarity metric may correspond to a second difference between the second foreground of the second key frame and a third foreground of a third key frame following the second key frame in the video. A playback of the video may be generated based on the first dissimilarity metric and the second dissimilarity metric. Related systems and computer program products are also provided.

Abstract: Techniques are disclosed for providing messaging participant identity leak prevention. An example methodology implementing the techniques includes, receiving, by a computing device, a message from a sender to a recipient via a software application running on the computing device, the software application having a non-confidential messaging view and a confidential messaging view. The method also includes determining a message type of the message, the message type is one of a non-confidential message or a confidential message, and displaying the message in the confidential messaging view of the software application in response to a determination that the message type indicates a confidential message, the confidential messaging view being distinct from the non-confidential messaging view, wherein messaging participant identity information is obfuscated in the display of the message in the confidential messaging view.

Abstract: Described embodiments provide systems and methods for balancing user sessions using load pattern forecasting are provided here. A device can determine a pattern of load distribution for a session prior to establishment of the session on a server of a computing environment. The pattern can be indicative of load on a server to run the session for a range of time. The device can determine an amount of usage of the plurality of servers on a per server basis. The usage can be indicative of sessions to be run on individual servers for the range of time. The device can select one of the plurality of servers on which to run the session based on a comparison of the pattern of load distribution for the session and the determined amounts of usage of the plurality servers. The device can assign the session to the selected server of the computing environment to balance resource usage across the computing environment.

Abstract: Methods and systems for determining information of applications are described herein. A computing device may receive, from one or more client devices, data indicating application usage events. The computing device may determine, based on the data, popular applications that a target user regularly uses. The computing device may determine, based on the data, recommended applications that users similar to the target user regularly use. The computing device may determine, based on the popular applications and/or the recommended applications, a collection of applications for the target user. The collection of applications may be displayed on a user interface of a client device associated with the target user for expedited access of interested applications.

Abstract: A system and method that automatically terminates an application. A method includes monitoring activity data points for an application launched by a client device within a workspace environment. The activity data points may include user interactions with a physical interface component. State data for each file associated with the application is monitored and, if a determination is made that the application is inactive based on the activity data points, the method determines if a file associated with the application includes unsaved content based on state data. If it is determined that no files for the application include unsaved content, the method forecasts whether the application will be inactive for a future period based on the activity data. The application is terminated if it is determined that no files for the application include unsaved content and the application is forecast to be inactive.

Abstract: A computing device may include a processor and memory configured to determine a factor in which to scale content displayable on a client computing device based upon a ratio of physical sizes of different screens on which to display the content. One of the different screens may be that of the client computing device. The processor may be configured to select a portion of the content to display on the client computing device based on the determined factor and a position within the content at which there is an indication of interest. The processor may be further configured to transmit the selected portion of the content to the client computing device, so as to enable display of the selected portion rather than an entirety of the content.

Abstract: A computing device, a method, and a computer readable medium for transferring data objects predictively to reduce consumption of resources. In some embodiments, a computing device includes: a memory; and a processor coupled to the memory. The processor is configured to store data objects in a storage system. The storage system is a multi-tier storage system. Storage of the data objects includes: determining a future demand status for at least one data object stored in the storage system based on a set of access activity rules; and moving the at least one data object between tiers of the storage system in response to the determined future demand status being different from a current demand status of the at least one data object to reduce consumption of resources in which to store that data object.

Abstract: A computing device may include a display, and a processor coupled to the display and configured to generate a GUI current screen on the display. The GUI current screen may include a first window and a second window docked to the first window, the second window overlapping the first window. The processor may be configured to determine an interaction region in the first window based upon user input in the first window, determine a ratio of overlap between the first window and the second window, and resize the second window based upon the ratio of overlap and so that the second window does not overlap the interaction region.

Abstract: The systems and methods discussed herein provide for intelligent identification of applications or tasks to be utilized or performed by a user based on a variety of variables that provide relevant context. In some implementations, applications may be pre-launched or instantiated prior to a user requesting to execute the application, reducing user experience latency and avoiding incorrect application launch. User behavior patterns, location, time of day, user events, etc. may be utilized to identify and recommend or pre-launch relevant applications that should or can be used at any given instance. In some implementations, deep linking may be used to pre-launch or suggest specific tasks to be performed within an application.

Abstract: Methods and systems for determining information of applications are described herein. A computing device may receive, from one or more client devices, data indicating application usage events. The computing device may determine, based on the data, popular applications that a target user regularly uses. The computing device may determine, based on the data, recommended applications that users similar to the target user regularly use. The computing device may determine, based on the popular applications and/or the recommended applications, a collection of applications for the target user. The collection of applications may be displayed on a user interface of a client device associated with the target user for expedited access of interested applications.

Abstract: Methods and systems for performing real time digital content concealment are described herein. A computing device may, in response to detecting a user within view of an image capture device of a client device, perform a first type of text recognition on a first region of digital content and a second type of text recognition on a second region of the digital content, where the first type of text recognition is determined based on a first type of content items contained in the first region and the second type of text recognition is determined based on a second type of content items contained in the second region. Based at least in part on rules corresponding to the user, the computing device may determine content items within the digital content to be concealed, and may modify the digital content to conceal the content items.

Abstract: In some implementations, a method may involve determining first feature vectors for a plurality of data items accessed by a user of one or more client devices, the first feature vectors representing first contextual data about the one or more client devices at times that respective data items of the plurality of data items were accessed, the plurality of data items including a first data item. A predictive model, configured to classify input feature vectors into context types, may be used to determine that the first feature vector for the first data item is classified as a first context type. A second feature vector representing second contextual data about a first client device operated by the user may be determined and the predictive model may be used to determined that the second feature vector is classified as the first context type.

Abstract: One disclosed method involves determining first data indicative of a context of one or more client devices in response to access of a first file by the one or more client devices, and determining, subsequent to the access of the first file by the one or more client devices, second data indicative of a current context of a first client device. Based at least in part on the first data and the second data being of a first context type, at least one command is generated that causes the first client device to present an indication that the first file is available for access.