Microsoft Technology Licensing, LLC

Microsoft Corporation

Erez Kikin Gil

Matthew Jay Kotler

Mark E Pearson

Andrew T Hockman

Vignesh Sachidanandam

Maya Rodrig

Christopher Andrews Jung

Daniel Paul Costenaro

Seth Fox

Benjamin David Smith

Travis M Spomer

Christopher Hugh Pratley

Ned Bearer Friend

David Benjamin Lee

Matthew Evan Vogel

Julie Christa Seto

Darron Jack Stepanich

Doreen Nelson Grieb

Keri Talbot

Han-Yi Shaw

Patrick Malatack

Asta Jane Roseway

Itai Almog

Burns M Montgomery

Ron Mondri

Chenguang Yang

Vlad Riscutia

Yasuhiko Mori

Choon-mun Hooi

Amnon Itamar Govrin

Valerie Rosen

Jon Bell

Annie Y Bai

Om Krishna

Sunder Raman

Derek Snook

Hongrui Zhang

Ramy Bebawy

Boaz Nathaniel Gurdin

Jamie Yu

David Mark Alexander

Dhruv Kochhar

Jairo Medina Garcia

Aleta Bashaw

Shubham Goyal

Venkateshwar Rao Thota

Darron Stepanich

Matthew Vogel

Julie Seto

Choon-Mun Hooi

Mark Pearson

A data processing system implements receiving content and a call requesting a generative model to generate a video summary of the content; constructing a prompt including the content and instructions to the model to identify semantic context of the content, to identify a text data item, an audio data item, and/or a video data item embedded in the content to generate a text transcript of the audio data item and/or the video data item, or a textual description of the video data item, to summarize the text data item, the text transcripts, and/or the textual description as a summary of the content based on the semantic context, and to generate the video summary based on the summary and a portion of the text data item, the audio data item, and/or the video data item; providing the first prompt to the generative model; providing the video summary to a client device for presentation.

AI-based video summary generation for content consumption

A method and system for identifying enhancement suggestions for a document and displaying the identified suggestions in a user-friendly manner may include examining the document to identify an enhancement fora portion of content in the document, enabling display of a first user interface element for previewing the identified enhancement as applied to the content, receiving a request to select the identified enhancement, and upon receiving the request enabling display of a second user interface element for accepting the identified enhancement. The first user interface element may provide a preview of the document post enhancement.

Presenting intelligently suggested content enhancements

A method for creating events for use by an electronic calendar application. A computer device running a calendar application displays a GUI having a representation of a calendar. A first widget on the GUI initiates a software routine for defining an event. The routine generates an interface window having a plurality of event detail widgets which allow the user to interactively define details of the event. Once the details are entered, the event is saved as a multimedia object, and the multimedia object is placed onto the calendar representation. Further, details of the event may include additional multimedia content. Also, the calendar representation itself may include multimedia content. The event may be defined with an approximate time frame rather than a specific time frame. For example, an event may be linked to another event rather than to a specific time frame.

Multimedia calendar

Collaborator content selection and manipulation actions and comments during interaction with a document are recorded to enhance asynchronous collaboration. The collaborator content selection and manipulation actions and comments are recorded during interaction with a document in a first collaboration viewport at a first time and played back in a second collaboration viewport at a second time while the same or a different instance of the document is displayed. The collaborator content selection and manipulation actions and comments include at least text selection, mouse or pen movements, and voice comments or ink annotations that are played back to recreate the collaborator changes and comments as though they were occurring in real-time, thereby creating a user experience that is more like the 'over the shoulder' collaboration that would be available to collaborators that are at the same physical location.

View playback to enhance collaboration and comments

A system configured intelligently reusing content and format is provided. The system receives a selection of data to be copied and an indication to copy the selected data and copies the selected data. The system receives an indication to paste the selected data at a second location. The selected data is analyzed to determine one or more options available for the paste, whereby each of the options being selectable to change an aspect of the selected data being pasted. The one or more options and an image of a placeholder representing the selected data are presented at the second location. The system receives a selection of an option from the one or more options. In response to receiving the selection of the option, the system causes presentation of the selected data in place of the image of the placeholder based on the selected option.

Intelligent content and formatting reuse

Systems and methods for managing an inline conversation area within a document are provided. In example embodiments, a collaboration system causes presentation of a user interface displaying a document that is being collaboratively edited by a plurality of users. The collaboration system receives an indication to present an inline conversation area within the document. In response, the inline conversation area is displayed within the document on the user interface, whereby the inline conversation area is visually distinguished from content of the document. The collaboration system receives, via the inline conversation area, input from the plurality of users. The input comprises comments being exchanged between the plurality of users and draft content. The inputs are displayed in the inline conversation area within the document on the user interface.

Inline document conversation system

Systems and methods for presenting content updates in a collaborative computing environment. One system includes a memory storing content and annotations generated in the collaborative computing environment an electronic processor communicatively coupled to the memory. The electronic processor is configured to retrieve, from the memory, a plurality of annotations associated with a document. The electronic processor is configured to assign a relevancy score to each of the plurality of annotations based on at least one relevancy factor associated with the annotation. The electronic processor is configured to determine a subset of the plurality of annotations from the plurality of annotations based on the relevancy score for each annotation. The electronic processor is configured to display the subset of the plurality of annotations.

Presenting content updates based on contextual information in a collaborative environment

The systems and techniques disclosed here feature a device including an audio analyzer connected to microphone(s) monitoring a conversation between one or more individuals. The audio analyzer can identify auditory expressions from audio captured by the microphone, where the auditory expressions can include linguistic expressions and nonlinguistic expressions. The audio analyzer can analyze the linguistic expressions to identify a topic and a time period when the topic was discussed. A video analyzer can be connected to camera(s) monitoring the conversation. The video analyzer can identify non-auditory expressions by the individuals from video captured by the camera. A sentiment analyzer can analyze auditory expressions during the time period when the topic was discussed and non-auditory expressions during the time period when the topic was discussed to determine sentiments to the topic. A processor can analyze the determined sentiments to the topic to determine a group sentiment to the topic.

Generating a synopsis of a meeting

Examples of the present disclosure describe application command control for small screen display. When detecting a display width associated with a processing device is equal to or less than a threshold value, the processing device launches an application command control programmed for display on small screens. The application command control interfaces with an application and comprises a plurality of top-level palettes and a plurality of drill-in palettes programmed for the application. A top-level palette for the application is vertically scrollable and comprises a collection of rows comprising one or more selectable command elements. A row of the one or more command elements of the top-level palette comprises a drill-in feature that when selected presents a drill-in palette. A drill-in palette is vertically scrollable and comprises one or more rows of selectable command elements.

Application command control for small screen display

Disclosed in some examples are methods, systems, computing devices, and machine readable mediums that provide for cropping systems that automatically crop digital images using one or more smart cropping techniques. Smart cropping techniques may include: cropping an image based upon emotion detection, cropping based upon facial recognition and matching, and cropping based upon landmark matching. In some examples, a single smart cropping technique may be utilized. In other examples, a combination of the smart cropping techniques may be utilized.

Intelligent auto cropping of digital images

Disclosed are methods, systems, and machine readable mediums which provide for an automatic image scaling that may be utilized in a variety of contexts, including for scaling images inserted into documents. The image may be scaled based upon one or more scaling features that may be utilized alone or in combination. Scaling features may be described by scaling feature categories, although as will be appreciated, the scaling features may be placed in one or more categories. Example feature categories may include image characteristics; image content; content of the document and context of the image within the document; past user behavior and preferences; and the like.

Automated image scale adjustment based upon document and image context

Examples described herein improve the way in which a transcript is generated and displayed so that the context of a conversation taking place during a meeting or another type of collaboration event can be understood by a person that reviews the transcript (e.g., reads or browses through the transcript). The techniques described herein use voice recognition to identify a user that is speaking during the meeting. Accordingly, when the speech of the user is converted to text for the transcript, the text can be attributed to the identified user. The techniques described herein further configure a graphical user interface layout, in which the transcript can be displayed. The graphical user interface layout enables users to better understand the context of a conversation that takes place during a meeting.

Use of voice recognition to generate a transcript of conversation(s)

Representative embodiments disclose mechanisms for machine interfaces. The system comprises a screen with one or more viewports. A scrollable list is displayed in one of the viewports. Scrolling may be vertical (up/down), horizontal (left/right) or both (diagonal). The system receives selection of an item in the list. As the list is scrolled, the system monitors the position of the selected item relative to the edges of the viewport. When the item comes within a threshold distance of the edges of the viewport, the system changes the selection from the currently selected item to another item within the viewport. As the selection is changed, the context remains consistent, thus context sensitive toolbars remain in the same context as items are scrolled off the screen and new items are selected.

Continued selection during scrolling past screen edge thresholds

Generally discussed herein are devices, systems, and methods for an insertion and/or modification control object. A method for using a user interface (UI) of a computing device may include selecting, using a user input device and releasing a control object using the UI, selecting a first object to insert below one or more items shown on the UI, wherein the first object is one of a first set of objects shown on the UI in response to releasing the control object, selecting and dragging the control object to a location between two of the items on the UI, releasing the control object at the location, and selecting a second object to insert at the location between the items, wherein the second object is one of the first set of objects shown on the UI in response to releasing the control object.

Drag and drop insertion control object

Systems, devices and methods for automatic narrative creation for captured images. In one example, the system and method perform or include capturing, with an image sensor, a plurality of images having at least one object; creating, with an electronic processor, an initial sequence of images based on a time stamp associated with each image in the plurality of images; identifying, with the electronic processor, textual information within at least one image in the plurality of images; and generating a grouping of the plurality of images based on a criteria selected from a group consisting of a location associated with the plurality of images, textual information within an image in the plurality of images, a search score associated with the at least one object, and a time gap between consecutive images in the initial sequence of the plurality of images.

Grouping captured images based on features of the images

Growing community of inventors

Bellevue, WA, United States of America

Erez Kikin Gil