Abstract: Region of interest (ROI)-based upscaling for video conferences, the method including: identifying, in a video frame of a video conference at a first resolution, a boundary region for an object; applying, to a portion of the video frame bound by the boundary region, a machine learning upscaling algorithm to generate an upscaled portion of the video frame corresponding to a second resolution; and generating an upscaled video frame at the second resolution by combining a first plurality of pixels in the upscaled portion of the video frame corresponding to the object with a second plurality of pixels.

Abstract: Machine learning-based multi-view video conferencing from single view video data, including: identifying, in video data, a plurality of objects; and generating a user interface comprising a plurality of first user interface elements each comprising a portion of the video data corresponding to one or more of the plurality of objects.

Abstract: Machine learning-based multi-view video conferencing from single view video data, including: identifying, in video data, a plurality of objects; and generating a user interface comprising a plurality of first user interface elements each comprising a portion of the video data corresponding to one or more of the plurality of objects.

Abstract: Correcting engagement of a user in a video conference includes: receiving video data of a user of a participant device of a video conference; determining that one or more visual characteristics of the video data satisfy one or more criteria; and displaying, by the participant device, a visual overlay in response to the one or more criteria being satisfied.

Abstract: Region of interest (ROI)-based upscaling for video conferences, the method including: identifying, in a video frame of a video conference at a first resolution, a boundary region for an object; applying, to a portion of the video frame bound by the boundary region, a machine learning upscaling algorithm to generate an upscaled portion of the video frame corresponding to a second resolution; and generating an upscaled video frame at the second resolution by combining a first plurality of pixels in the upscaled portion of the video frame corresponding to the object with a second plurality of pixels.

Abstract: Correcting engagement of a user in a video conference includes: receiving video data of a user of a participant device of a video conference; determining that one or more visual characteristics of the video data satisfy one or more criteria; and displaying, by the participant device, a visual overlay in response to the one or more criteria being satisfied.

Abstract: Machine learning-based multi-view video conferencing from single view video data, including: identifying, in video data, a plurality of objects; and generating a user interface comprising a plurality of first user interface elements each comprising a portion of the video data corresponding to one or more of the plurality of objects.

Abstract: Content feedback based on region of view, including: determining, for a user of a recipient device receiving content from a presenting device, a region of view of the content associated with the user; generating, based on the region of view, a visual overlay; and displaying, by the presenting device, the visual overlay applied to the content.