Microsoft Technology Licensing, LLC

Stephanie Horn

Michael Jay Gilmore

Jie Li

Constance Worsfold Gervais

Alexandre Gueniot

Onur Onder

Matthew William Kernek

Ramya Tridandapani

Thomas R Mignone

Bharat Kumar Ahuja

Eric Minghai Gao

Tyler Robert Adams

Thomas Nhan

Garrett William Brown

Haitao He

Heather Joanne Alekson

Jordan Krissi

Michael Alexander Fuller

Chris Welman

Ancuta Irina Zaharia

Adam Ross Le Doux

Andrew William Fitzgibbon

Richard Malcolm Banks

Michael Joe Woolf

Lewey Geselowitz

Shivani Gupta

Daniel J Clay

Chakkaradeep Chinnakonda Chandran

Matthew Dorbin

Tiffany Michelle Smith

Sarah Zaki

Tarun Malik

Pranjal Saxena

Ridhima Gupta

Aimee Leong

Mikko T Mannisto

Bitan Deb

Zhiying Guo

Matt Kernek

Varun Pandey

Eduardo Lemus Velazquez

Matthew James Wagner

Darrin D House

Mikko Mannisto

Techniques performed by a data processing system for a machine learning driven teleprompter include displaying a teleprompter transcript associated with a presentation on a display of a computing device associated with a presenter; receiving audio content of the presentation including speech of the presenter in which the presenter is reading the teleprompter transcript; analyzing the audio content of the presentation using a first machine learning model to obtain a real-time textual translation of the audio content, the first machine learning model being a natural language processing model trained to receive audio content including speech and to translate the audio content into a textual representation of the speech; analyzing the real-time textual representation and the teleprompter transcript with a second machine learning model to obtain transcript position information; and automatically scrolling the teleprompter transcript on the display of the computing device based on the transcript position information.

Machine learning driven teleprompter

A system and method of playing back 3D animations includes receiving user selection of a 3D file that contains animation parameters of an animated 3D model such as a preset animation or an embedded customized animation and inserting the animated 3D model into a 2D display canvas while preserving the animation parameters of the animated 3D model described in the 3D file. The animated 3D model is played and paused on the 2D display canvas under user control independent of a main thread that enables interaction with and editing of other content besides the animated 3D model in the 2D display. User adjustment of animation parameters of the animated 3D model during playback are received and the animated 3D model with the received user adjusted animation parameters are presented to the 2D display canvas on a display device.

Playback for embedded and preset 3D animations

A system is provided that allows a user to visualize data. A dataset that includes a plurality of data items arranged in a two-dimensional (2D) format is received. A request to visualize the dataset in three dimensions is then received. A three-dimensional (3D) visualization of the dataset is then generated based on this request. This 3D visualization adds a third dimension to the 2D arrangement of data items, where the extent of the third dimension is commensurate with the type and value of the data items. This 3D visualization includes an initial depiction of the dataset which is generated from a point of view that is specified by this request. The initial depiction of the dataset is then displayed on a display device of the system in lieu of the dataset itself.

Using perspective to visualize data

A three-dimensional model can be presented in a two-dimensional digital canvas on a computer display. User input directed at the three-dimensional model in the two-dimensional canvas can be received. The three-dimensional model can be manipulated in response to the user input. A two-dimensional view of the three-dimensional model can be displayed. Corresponding data structures for the model, the canvas, and the two-dimensional objects in the data structure can be maintained and updated. One or more additional techniques can also be utilized in a computer system, such as continuous user-controlled model rotation in a two-dimensional canvas; viewport autofit and non-autofit modes; rotating the model around a camera look-at point; ghosting outside the viewport; normalizing modeling units and values; preset buttons with on-button previews; user-defined view presets; and/or two-dimensional image substitution.

Three-dimensional digital models in two-dimensional digital canvases

Systems, methods, apparatuses, and software for vector graphics object handling in computing environments are provided herein. In one example, an object handling service for a user application is provided that identifies an object in a scalable vector graphics format for import into the user application, parses a description of the object in the scalable vector graphics format to determine shape components that comprise the object, and iterates through each of the shape components to generate freeform shape primitives that recreates the object into a native object description of the user application.

Vector graphics handling processes for user applications

Three-dimensional digital modeling with two-dimensional canvas

Three-dimensional model look-at-point rotation and viewport modes

The Scalable Vector Graphics (SVG) standard defines a way to describe two-dimensional graphics within the extensible markup language (XML) that can be interpreted by multiple programs. The SVG standard, however, lacks native support for several user experience features, such as look and feel settings (e.g., themes) that affect multiple objects within a document. The present disclosure, however, teaches how an SVG object may be made theme-aware and still comply with the SVG standard so that it is portable between files and applications that apply the present disclosure and those that do not. By enabling the dynamic updating of SVG objects, the benefits to the user experience and computer efficiency associated with standardized vector graphics and the document-wide application of look and feel settings can be realized without deviating from the SVG standard.

Dynamically formatting scalable vector graphics

An animation preset graphical user interface (GUI) enables users to select a 3D model of an object and to further select between multiple animation presets that each individually cause a 3D animation engine to apply combinations of animation features against the 3D model. An exemplary animation preset may cause the object to translate across a display area (e.g., move from left to right across screen) while simultaneously rotating against a rotational axis (e.g., spinning so that different surfaces of the object become more prominent). The animation preset GUI may enable the user to dynamically toggle through different intensity levels to cause a selected animation preset to be rendered in accordance with different acceleration parameters and/or magnitude parameters. The animation preset GUI may enable the user to dynamically toggle between predefined animation spaces for animating the object. Animation-parameters may be persisted to a file to enable future editing of the animations.

Animating three-dimensional models using preset combinations of animation features

An image rendering system having an image rendition module to determine formats of an image and a rendering theme and in response to these formats meeting a predetermined condition, parse the image into a plurality of image components and display at least one of the plurality of image components with a fill color as a background color of the rendering theme and with an alternate color of the rendering theme as an outline color of the at least one component.

Graphical object content rendition

Systems and methods are disclosed in which a self-describing file is generated and utilized to provide applications with the ability to properly preserve unknown file content. A self-describing file may contain, or be associated with, an extension section that provides information that an application can use to properly calculate unknown file content. The extension section may include functions of formulas that the application can use to calculate values for data that the application would not otherwise support. This allows for the content of the self-describing file to be modified by an application that does not support all of the capabilities of the file while maintaining the integrity of the file and user experience when the file is subsequently accessed by a full featured application.

Calculation of properties of objects/shapes across versions of applications

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Bellevue, WA, United States of America

Stephanie Horn