Getgo, Inc.

Logmein, Inc.

Logmeln, Inc.

Nikolay Avrionov

Ashish V Thapliyal

Alexander John Huitric

Nilesh Mishra

Christopher K Koverman

Techniques for performing key frame extraction, recording, and navigation in collaborative video presentations. The techniques include extracting a plurality of frames from media content at a predetermined rate, removing frame areas that do not correspond to a screen area for displaying electronic meeting/webinar content, de-duplicating the plurality of frames, identifying frames that correspond to the 'slide type' or similar type of frames, and extracting key frames from the slide type of frames. The key frames can be recorded in a slide deck or other similar collection of key frames, as well as displayed as clickable thumbnails in a UI. By clicking or otherwise selecting a thumbnail representation of a selected key frame in the UI, or clicking-and-dragging a handle of a key frame locator bar to navigate the thumbnails to the selected key frame, users can quickly and more efficiently access desired slide presentation content from an electronic meeting/webinar.

Key frame extraction, recording, and navigation in collaborative video presentations

In a distributed computing system, clients of a communications application are deployed on user devices. The clients on target user devices collect and report context information for a target user such as location and application-in-use. Reported context information is associated with response time information describing time to respond to initiation of communications in respective contexts, and a predictive model is maintained and used to obtain an estimate for a response time of the target user to respond to a new initiation of communications in a current context. A presence indicator on an initiator user device provides a presence indicator for the target user, and is generated and updated by obtaining current context of the target user and applying it to the predictive model to obtain an estimate of a current response time of the target user, and setting a value of the presence indicator according to the estimate.

Real-time communications system with intelligent presence indication

A technique provides, to a user, a set of diagram views of a diagram model stored in memory. The technique involves obtaining, by processing circuitry, electronic access to the diagram model stored in the memory. The diagram model includes a group of objects. Each object has a defined object size. The technique further involves, after obtaining electronic access to the diagram model stored in the memory, performing, by the processing circuitry, an object selection operation that selects an initial set of objects from the group of objects based on the defined object size of each object of the group of objects. The technique further involves, after performing the object selection operation, rendering, by the processing circuitry, an initial diagram view of the diagram model on an electronic display to the user, the initial diagram view including the initial set of objects.

Systems and methods of dynamically rendering a set of diagram views based on a diagram model stored in memory

Improved techniques of identifying when a device needs of service involve using data analytics to determine conditions when a device administrator of a computerized device is to be sent an alert regarding that device. Along these lines, a device monitoring system receives state data from a device that indicates the device is in a particular state, e.g., running certain applications, using some percentage of the processor and memory capacity, etc. The device monitoring system maps the device state data to a decision of whether or not to send a device administrator an alert concerning the device. The decision itself is a result of applying a model to the state data that is derived from the application of data analytics on historical device state data and administrator login data.

Automatic alert generation

Screenshots are captured for a visual summary of an online meeting using a dynamically determined inactivity threshold time period. The inactivity threshold time period may be the sum of i) an average time interval between arrival times of screen update messages in a set of received screen update messages, and ii) a multiple of the standard deviation of such time intervals. If no significant updates to a shared screen occur during the inactivity threshold time period, a screenshot may be captured for the online meeting visual summary. A premature screenshot threshold time period may also be determined. If significant visual data is received during the premature screenshot threshold time period, the previously captured screenshot is replaced with an updated screenshot.

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Santa Barbara, CA, United States of America

Nikolay Avrionov