Microsoft Technology Licensing, LLC

Yi Ke

Patrick Michael Gan

Sugandha SudeshKumar Kapoor

Brian Daniel Meersma

Mart Kelder

Uladzislau Sudzilouski

Orkhan Muradov

Maria Montserrat Lozano Dieck

Nikhil Vilas Kulkarni

Vivek Mogalapalli

Xiaojun Li

Michal Bloch Ron

Vishwak Reddy Neravetla

Non-limiting examples of the present disclosure pertain to management over the type of notification that is generated and presented to a user relative to an occurrence of a message notification. Processing is executed that evaluates a relevance of a content update to content that is already presented to a user through host application/service endpoints. This helps determine how to present a graphical user interface (GUI) notification as well as link that GUI notification to existing communications that are identified as contextually relevant. Trained artificial intelligence modeling is applied that executes relevance analysis to aid generation of a GUI notification. Said relevance analysis correlates a content portion, of a content update, with a content sub-range assigned in a live representation of the distributed collaborative canvas, where a live representation is an editable and synchronized representation of the distributed collaborative canvas that presents the content sub-range inline within a host application/service endpoint.

Automated notification of content update providing live representation of content inline through host service endpoint(s)

Various embodiments enable a capture device to capture at least one high resolution image and generate a low resolution image based on the high resolution image. Some embodiments transfer an associated low resolution image file to a second device prior to transferring the corresponding associated high resolution image file. In some cases, the low resolution image can be analyzed to determine one or more properties associated with the low resolution image. Processing decisions associated with the high resolution image can then be based on the property or properties of the low resolution image.

Using image properties for processing and editing of multiple resolution images

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Burlingame, CA, United States of America

Yi Ke