Hewlett-packard Development Company, L.p.

Plantronics, Inc.

Nhu Quynh Pham Nguyen

Kishore Venkat Rao Goka

Krishna Balusu

Sakshi Gupta

Venkateswarlu Lakkamraju

Joshua Raglin

Andrew Pornthep Pechin

Dhaval Patel

Raghavendra Balavalikar Krishnamurthy

Daniel Acevedo

Srinivas Bommareddy

A method may include obtaining, using a head detection model and for an image of a video stream, head detection information, where the head detection information identifies heads detected in the image, selecting a set of templates for the heads, and creating, individually, head frame definitions for the heads using the set of templates. The method may processing the video stream using the head frame definitions.

Head framing in a video system

A method may include obtaining, using a head detection model and for an image of a video stream, head detection information, where the head detection information identifies heads detected in the image. Method may also include obtaining buffer bounding boxes. Obtaining the buffer bounding boxes may include obtaining head buffer bounding boxes for the heads detected in the image, and combining at least two of the head buffer bounding boxes into a proximity buffer bounding box. The method may furthermore include identifying a set of templates based on the buffer bounding boxes. Method may in addition include creating, individually, head frame definitions for the buffer bounding boxes using the set of templates, generating an image frame definition that combines the head frame definitions, and processing the video stream using the image frame definition.

Proximity framing in a video system

A method implements customizable gesture commands. The method includes constructing a set of gesture containers and training a machine learning model, for a gesture container of the set of gesture containers, to detect a performance of a video gesture. The method further includes detecting the performance of the video gesture, from a gesture container of the set of gesture containers, in a video stream using the machine learning model. The method further includes executing, in response to detecting the video gesture, a command assigned to the video gesture by the gesture container.

Customizable gesture commands

A method implementing dynamic camera presets. An image is received. A list of bounding boxes and a list of classification values are generated from the image. A set of tags, for the image, are generated from the list of bounding boxes and the list of classification values. A tagged image incorporating the set of tags into the image is presented. In response to a user input, a tag selection identifying a tag of the set of tags is received. View settings are adjusted to focus on a bounding box, from the list of bounding boxes, corresponding to the tag selection. An adjusted image is presented using the view settings.

Dynamic camera presets

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Austin, TX, United States of America

Nhu Quynh Pham Nguyen