Abstract: In various implementations, a productivity application allows selected content from an electronic document to be shared with and edited by multiple users through instances of a collaboration component. The collaboration component includes a distributed data structure that stores state information about the shared content. The component also includes application logic for managing the state information to reflect user edits and other such changes. This allows the selected content to be shared with the users in any application that supports the collaboration component and without the entirety of the document having to be shared. A user can experience the content in the context of applications other than the productivity application that hosts the document.

Abstract: A UI for presenting and reviewing a document is optimized based upon the type of computing device being utilized to present the document. One such UI includes a first pane showing a view of the document under review that is sized and formatted for display on a large-format display device. The first pane can also be utilized to emphasize a portion of the document. The UI also includes a second pane that includes indicators for each of the reviewers of the document. The selection of an indicator will cause a portion of the document being reviewed by the corresponding reviewer to be displayed in the first pane. The UI also includes a third pane that includes a scaled image of the document shown in the first pane. Selection of a portion of the scaled image causes the selected portion of the document to be displayed in the first pane.

Abstract: In various implementations, a productivity application allows selected content from an electronic document to be shared with and edited by multiple users through instances of a collaboration component. The collaboration component includes a distributed data structure that stores state information about the shared content. The component also includes application logic for managing the state information to reflect user edits and other such changes. This allows the selected content to be shared with the users in any application that supports the collaboration component and without the entirety of the document having to be shared. A user can experience the content in the context of applications other than the productivity application that hosts the document.

Abstract: Concepts and technologies are described herein for transforming data to create layouts. In accordance with the concepts and technologies disclosed herein, a computing device can execute a layout generator. The computing device can be configured to receive or retrieve data that includes visual content such as an image and other content such as text. The computing device can analyze the visual content to identify a salient region and/or an invariant region within the visual content. The computing device can access designs for laying out visual content and other content based upon an identified salient region and/or invariant region. The computing device can evaluate the designs to determine if a design matches the data. The computing device can load the data into the selected design to generate the layout.

Abstract: Systems and methods for classifying content of an electronic file. One system includes an electronic processor configured to determine a content type associated with a portion of content included in the electronic file using a classification model developed using machine learning. The electronic processor is also configured to determine a suggested modification for the portion of content based on the determined content type. The suggested modification is a modification to a format property of the portion of content. The electronic processor is also configured to provide a notification of the suggested modification to a user for acceptance of the suggested modification. In response to the user accepting the suggested modification, the electronic processor is configured to modify the format property of the portion of content in accordance with the suggested modification.

Abstract: 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.

Abstract: Improved computer efficiency for document navigation is provided. A transparent overlay is automatically applied to an interactive content element to prevent inadvertent interaction with the element during scrolling operations. In some examples, upon determining a user's intent is to navigate a parent document comprising an embedded interactive element, the overlay is applied, and user-interaction with the interactive element is temporarily disabled. Upon determining the user's intent is to interact with the interactive element, the overlay is removed, and user-interaction with the interactive element is enabled. When the overlay is removed, a contextual hint, such as via a user interface control, can be provided to indicate how to continue navigating the parent document.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Concepts and technologies are described herein for transforming data to create layouts. In accordance with the concepts and technologies disclosed herein, a computing device can execute a layout generator. The computing device can be configured to receive or retrieve data that includes visual content such as an image and other content such as text. The computing device can analyze the visual content to identify a salient region and/or an invariant region within the visual content. The computing device can access designs for laying out visual content and other content based upon an identified salient region and/or invariant region. The computing device can evaluate the designs to determine if a design matches the data. The computing device can load the data into the selected design to generate the layout.

Abstract: Concepts and technologies are described herein for transforming data to create layouts. In accordance with the concepts and technologies disclosed herein, a computing device can execute a layout generator. The computing device can be configured to receive or retrieve data that includes visual content such as an image and other content such as text. The computing device can analyze the visual content to identify a salient region and/or an invariant region within the visual content. The computing device can access designs for laying out visual content and other content based upon an identified salient region and/or invariant region. The computing device can evaluate the designs to determine if a design matches the data. The computing device can load the data into the selected design to generate the layout.

Abstract: One or more signals are used to identify regions of interest of an image. The signals are applied to the image to generate one or more models that are based on the regions of interest. The models may present different perspectives of the image by emphasizing various features and focal points. The models may be ranked and displayed according to a scoring paradigm that is based on one or more signals. Multi-tiered feedback mechanisms allow for the collection of user intent and/or other forms of explicit input. Feedback associated to the models may be obtained and used to generate additional models that are based on one or more signals and the feedback. The feedback may also be stored and utilized for machine learning purposes.

Abstract: Improved computer efficiency for document navigation is provided. A transparent overlay is automatically applied to an interactive content element to prevent inadvertent interaction with the element during scrolling operations. In some examples, upon determining a user's intent is to navigate a parent document comprising an embedded interactive element, the overlay is applied, and user-interaction with the interactive element is temporarily disabled. Upon determining the user's intent is to interact with the interactive element, the overlay is removed, and user-interaction with the interactive element is enabled. When the overlay is removed, a contextual hint, such as via a user interface control, can be provided to indicate how to continue navigating the parent document.

Abstract: One or more signals are used to identify regions of interest of an image. The signals are applied to the image to generate one or more models that are based on the regions of interest. The models may present different perspectives of the image by emphasizing various features and focal points. The models may be ranked and displayed according to a scoring paradigm that is based on one or more signals. Multi-tiered feedback mechanisms allow for the collection of user intent and/or other forms of explicit input. Feedback associated to the models may be obtained and used to generate additional models that are based on one or more signals and the feedback. The feedback may also be stored and utilized for machine learning purposes.

Abstract: Concepts and technologies are described herein for transforming data to create layouts. In accordance with the concepts and technologies disclosed herein, a computing device can execute a layout generator. The computing device can be configured to receive or retrieve data that includes visual content such as an image and other content such as text. The computing device can analyze the visual content to identify a salient region and/or an invariant region within the visual content. The computing device can access designs for laying out visual content and other content based upon an identified salient region and/or invariant region. The computing device can evaluate the designs to determine if a design matches the data. The computing device can load the data into the selected design to generate the layout.

Abstract: One or more signals are used to identify regions of interest of an image. The signals are applied to the image to generate one or more models that are based on the regions of interest. The models may present different perspectives of the image by emphasizing various features and focal points. The models may be ranked and displayed according to a scoring paradigm that is based on one or more signals. Multi-tiered feedback mechanisms allow for the collection of user intent and/or other forms of explicit input. Feedback associated to the models may be obtained and used to generate additional models that are based on one or more signals and the feedback. The feedback may also be stored and utilized for machine learning purposes.

Abstract: Concepts and technologies are described herein for transforming data to create layouts. In accordance with the concepts and technologies disclosed herein, a computing device can execute a layout generator. The computing device can be configured to receive or retrieve data that includes visual content such as an image and other content such as text. The computing device can analyze the visual content to identify a salient region and/or an invariant region within the visual content. The computing device can access designs for laying out visual content and other content based upon an identified salient region and/or invariant region. The computing device can evaluate the designs to determine if a design matches the data. The computing device can load the data into the selected design to generate the layout.

Abstract: A UI for presenting and reviewing a document is optimized based upon the type of computing device being utilized to present the document. One such UI includes a first pane showing a view of the document under review that is sized and formatted for display on a large-format display device. The first pane can also be utilized to emphasize a portion of the document. The UI also includes a second pane that includes indicators for each of the reviewers of the document. The selection of an indicator will cause a portion of the document being reviewed by the corresponding reviewer to be displayed in the first pane. The UI also includes a third pane that includes a scaled image of the document shown in the first pane. Selection of a portion of the scaled image causes the selected portion of the document to be displayed in the first pane.

Abstract: A UI for presenting and reviewing a document is optimized based upon the type of computing device being utilized to present the document. One such UI includes a first pane showing a view of the document under review that is sized and formatted for display on a large-format display device. The first pane can also be utilized to emphasize a portion of the document. The UI also includes a second pane that includes indicators for each of the reviewers of the document. The selection of an indicator will cause a portion of the document being reviewed by the corresponding reviewer to be displayed in the first pane. The UI also includes a third pane that includes a scaled image of the document shown in the first pane. Selection of a portion of the scaled image causes the selected portion of the document to be displayed in the first pane.