Abstract: 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 informatio

Abstract: 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 informatio

Abstract: 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 informatio

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.