Abstract: The present invention is a method and a processing device that allows smoothing of all camera parameters that are changeable while the camera is running through a tasklist component that schedules transitions synchronized with the output video frame rate. A device-native thread runs the scheduler which picks smoothing tasks off a list to meet real-time requirements. Different strategies for smoothing based on Bézier curves, splines and linear interpolation are scheduled on the runtime. The camera, which is automatically able to detect people and frame them based on where they are, uses this module to smoothly change the frame when people move in the camera field of view, among other functions.

Abstract: Systems and methods are provided to power video conferencing and remote collaboration with subsymbolic and symbolic artificial intelligence. The autonomous video conferencing systems of this disclosure include one main smart camera and multiple peripheral smart cameras, optionally coupled with one or more smart sensors. Each smart camera is equipped with a vision pipeline supported by machine learning to detect objects and their interactions as well as related changes in gesture and posture, and a virtual director adapted to apply a predetermined rule set consistent with television studio production principles. The main camera is adapted to select and update a focus video stream in real time under the direction of its virtual director and stream the updated focus stream to a user computer. Methods for creating an automated television studio production for a variety of conferencing spaces and special-purpose scenarios with virtual director assistance are provided.

Abstract: Systems and methods are provided to power video conferencing and remote collaboration with subsymbolic and symbolic artificial intelligence. The autonomous video conferencing systems of this disclosure include one main smart camera and multiple peripheral smart cameras, optionally coupled with one or more smart sensors. Each smart camera is equipped with a vision pipeline supported by machine learning to detect objects and their interactions as well as related changes in gesture and posture, and a virtual director adapted to apply a predetermined rule set consistent with television studio production principles. The main camera is adapted to select and update a focus video stream in real time under the direction of its virtual director and stream the updated focus stream to a user computer. Methods for creating an automated television studio production for a variety of conferencing spaces and special-purpose scenarios with virtual director assistance are provided.

Abstract: Systems and methods are provided to power video conferencing and remote collaboration with subsymbolic and symbolic artificial intelligence. The autonomous video conferencing systems of this disclosure include one main smart camera and multiple peripheral smart cameras, optionally coupled with one or more smart sensors. Each smart camera is equipped with a vision pipeline supported by machine learning to detect objects and their interactions as well as related changes in gesture and posture, and a virtual director adapted to apply a predetermined rule set consistent with television studio production principles. The main camera is adapted to select and update a focus video stream in real time under the direction of its virtual director and stream the updated focus stream to a user computer. Methods for creating an automated television studio production for a variety of conferencing spaces and special-purpose scenarios with virtual director assistance are provided.

Abstract: The present invention is a method and a processing device that allows smoothing of all camera parameters that are changeable while the camera is running through a tasklist component that schedules transitions synchronized with the output video frame rate. A device-native thread runs the scheduler which picks smoothing tasks off a list to meet real-time requirements. Different strategies for smoothing based on Bézier curves, splines and linear interpolation are scheduled on the runtime. The camera, which is automatically able to detect people and frame them based on where they are, uses this module to smoothly change the frame when people move in the camera field of view, among other functions.

Abstract: The present invention is a method and a processing device that allows smoothing of all camera parameters that are changeable while the camera is running through a tasklist component that schedules transitions synchronized with the output video frame rate. A device-native thread runs the scheduler which picks smoothing tasks off a list to meet real-time requirements. Different strategies for smoothing based on Bézier curves, splines and linear interpolation are scheduled on the runtime. The camera, which is automatically able to detect people and frame them based on where they are, uses this module to smoothly change the frame when people move in the camera field of view, among other functions.

Abstract: The present invention is a method and a processing device that allows smoothing of all camera parameters that are changeable while the camera is running through a tasklist component that schedules transitions synchronized with the output video frame rate. A device-native thread runs the scheduler which picks smoothing tasks off a list to meet real-time requirements. Different strategies for smoothing based on Bézier curves, splines and linear interpolation are scheduled on the runtime. The camera, which is automatically able to detect people and frame them based on where they are, uses this module to smoothly change the frame when people move in the camera field of view, among other functions.