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: Consistent with disclosed embodiments, systems and methods for analyzing video output streams and generating a primary video stream may be provided. Embodiments may include a video conferencing camera configured to generate a video output representative of an environment. The video conferencing camera may comprise a video processing unit configured to determine, for a plurality of subjects represented in the video output, whether each of the plurality of subjects is inside or outside of a meeting region within the environment. The video processing unit may be further configured to determine a frame configuration for a primary video stream, constituting a portion of the video output, to be shown on a display based on one or more characteristics of at least one subject, among the plurality of subjects, determined to be located inside the meeting region.

Abstract: Multi- and single-camera video conferencing systems are disclosed including at least one camera, each configured to generate an overview video output stream representative of a meeting environment, and at least one video processing unit. The video processing unit(s) are configured to automatically analyze the overview video output stream(s) to identify one or more meeting participants and assign respective role designations to the meeting participants based on analysis of the overview video output stream(s). The video processing unit(s) are further configured to generate, and output for display, one or more primary video streams including one or more of the meeting participants, based on the assigned roles.

Abstract: Consistent with disclosed embodiments, systems and methods for adjusting color balance across multiple cameras. Embodiments of the present disclosure may include a color balance unit. The color balance unit may include at least one processor programmed to receive at least one white point candidate and a spatial distribution from a first camera among a plurality of cameras and at least one white point candidate and a spatial distribution from a second camera among the plurality of cameras. The at least one processor may be configured to compare the at least one white point candidate and the spatial distribution received from the first camera with the at least one white point candidate and the spatial distribution received from the second camera and determine, based on the comparing, a target color balance level for use by one or more of the plurality of cameras in adjusting a color balance setting.

Abstract: Consistent with disclosed embodiments, systems and methods for analyzing video output streams and generating a primary video stream may be provided. Embodiments may include automatically analyzing a first video output stream and a second video output stream, based on at least one identity indicator, to determine whether a first representation of a meeting participant and a second representation of a meeting participant correspond to a common meeting participant. Disclosed embodiments may involve evaluating the first representation and the second representation of the common meeting participant relative to one or more predetermined criteria. Embodiments may involve selecting, based on the evaluation, either the first video output stream or the second video output stream as a source of a framed representation of the common meeting participant to be output as a primary video stream.

Abstract: A videoconferencing system for adjusting perspective views using adaptive image warping includes an image warping unit including at least one processor.

Abstract: Consistent with disclosed embodiments, systems and methods for analyzing video output streams and generating a primary video stream may be provided. Embodiments may include automatically analyzing a first video output stream and a second video output stream, based on at least one identity indicator, to determine whether a first representation of a meeting participant and a second representation of a meeting participant correspond to a common meeting participant. Disclosed embodiments may involve evaluating the first representation and the second representation of the common meeting participant relative to one or more predetermined criteria. Embodiments may involve selecting, based on the evaluation, either the first video output stream or the second video output stream as a source of a framed representation of the common meeting participant to be output as a primary video stream.

Abstract: Consistent with disclosed embodiments, systems and methods for analyzing video output streams and generating a primary video stream may be provided. Embodiments may include automatically analyzing a first video output stream and a second video output stream, based on at least one identity indicator, to determine whether a first representation of a meeting participant and a second representation of a meeting participant correspond to a common meeting participant. Disclosed embodiments may involve evaluating the first representation and the second representation of the common meeting participant relative to one or more predetermined criteria. Embodiments may involve selecting, based on the evaluation, either the first video output stream or the second video output stream as a source of a framed representation of the common meeting participant to be output as a primary video stream.

Abstract: Consistent with disclosed embodiments, systems and methods for analyzing video output streams and generating a primary video stream may be provided. Embodiments may include automatically analyzing a first video output stream and a second video output stream, based on at least one identity indicator, to determine whether a first representation of a meeting participant and a second representation of a meeting participant correspond to a common meeting participant. Disclosed embodiments may involve evaluating the first representation and the second representation of the common meeting participant relative to one or more predetermined criteria. Embodiments may involve selecting, based on the evaluation, either the first video output stream or the second video output stream as a source of a framed representation of the common meeting participant to be output as a primary video stream.

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: Consistent with disclosed embodiments, systems and methods for analyzing video output streams and generating a primary video stream may be provided. Embodiments may include automatically analyzing a first video output stream and a second video output stream, based on at least one identity indicator, to determine whether a first representation of a meeting participant and a second representation of a meeting participant correspond to a common meeting participant. Disclosed embodiments may involve evaluating the first representation and the second representation of the common meeting participant relative to one or more predetermined criteria. Embodiments may involve selecting, based on the evaluation, either the first video output stream or the second video output stream as a source of a framed representation of the common meeting participant to be output as a primary video stream.

Abstract: Consistent with disclosed embodiments, systems and methods for analyzing video output streams and generating a primary video stream may be provided. Embodiments may include a video conferencing camera configured to generate a video output representative of an environment. The video conferencing camera may comprise a video processing unit configured to determine, for a plurality of subjects represented in the video output, whether each of the plurality of subjects is inside or outside of a meeting region within the environment. The video processing unit may be further configured to determine a frame configuration for a primary video stream, constituting a portion of the video output, to be shown on a display based on one or more characteristics of at least one subject, among the plurality of subjects, determined to be located inside the meeting region.

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: 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.