Abstract: End user interactions at a display are monitored for predetermined conditions to provide augmentation of display presentation by a red light that illuminates in the 650 to 800 nm range, such as at substantially 670 nm. Instructions stored in non-transient memory and executed on a processor present visual images of varied color contrast and evaluate end user inputs to determine an end user visual acuity. Over time and use of the display and red light, end user visual acuity is periodically tested to evaluate the effectiveness of red light illumination to restore visual acuity.

Abstract: A system or method executing an intelligent videoframe privacy monitoring management system comprising a processor to execute code instructions of a multimedia multi-user collaboration application to join a videoconference session, a display screen, a speaker, a video camera, and a microphone where the video camera captures a videoframe of a user or background to be transmitted in the videoconference session and the processor to determine from input videoframe data and the detected sensor distance data of the user or the objects or inputting these into the intelligent videoframe privacy monitoring management system to generate optimized videoframe privacy adjustments to apply a privacy alteration to captured videoframes when the user is detected as absent, other faces, or background movement is detected.

Abstract: A system or method executing an intelligent appearance monitoring management system comprising a processor to execute code instructions of a multimedia multi-user collaboration application to join a videoconference session, a display screen, a speaker, a video camera, and a microphone where the video camera captures a videoframe of a user and the processor to input videoframe data, including the detected user's image, into a trained neural network of the intelligent appearance monitoring management system to generate optimized appearance filtering adjustments indicating detection of a user appearance anomaly in the user's image or altering a user's image in the captured videoframes in response to the user appearance anomaly and prepare those videoframes for transmission.

Abstract: End user cumulative blue light exposure from a display is tracked over time so that a message may be provided to the end user if the exposure exceeds a threshold. For instance, a display frame buffer is retrieved to determine an average blue light component presented at the display, which is then adjusted based upon display characteristics, such as display size, luminance and brightness, end user distance to the display and a sensed ambient blue light component.

Abstract: A host server information handling system executing a multimedia multi-user collaboration application (MMCA) may include a processor; a memory; a power management unit; a network interface device to receive and provide audio/visual (AV) data during execution of the MMCA for a video conference session; the processor configured to execute a collaborative rights information management system to: manage the recordation of a video conference session during the execution of the MMCA to create a recording of the video conference session and assign a first password to protect the recording of the video conference session as a default password; assign a security level to the recording of the video conference session; and permit access, via the network interface device, to the recordings of the video conference session by transmitting the password to those users who are associated with a higher user access permission level than the aggregated user access permissions and are authorized to access the recording.

Abstract: A sink information handling system executing a multimedia multi-user collaboration application (MMCA) may comprise a network interface device to receive a plurality of video frame slices of a video frame of a remote participant user of a source information handling system participating in a video conference session, the network interface device to receive an identification of a subset of the plurality of video frame slices having an assigned probability of presence of the remote participant's body that exceeds a threshold probability, based on a human object presence (HOP) heat map, as a HOP video frame slice group, the processor to decode data within the HOP video frame slice group, and a digital display device to display the video frame, as transformed by the audio/visual processing instruction algorithm.

Abstract: A system or method executing an intelligent face framing management system comprising a processor to execute code instructions of a multimedia multi-user collaboration application to join a videoconference session, a display screen, a speaker, a video camera, and a microphone where the video camera captures a videoframe of a user and the processor to input videoframe data, including the detected user's image, into a trained neural network to determine image features for the intelligent face framing management system to generate optimized face framing adjustments center or normalize the user's image in the captured videoframes or intelligently select an alternate camera and prepare those videoframes for transmission.

Abstract: An information handling system executing a multimedia multi-user collaboration application (MMCA) may include a memory; a power management unit; a video camera to capture video of a user participating in a video conference session conducted by a processor executing code instructions of the MMCA via a first network link on a network interface device; a time-of-flight (TOF) sensor to provide distance data descriptive of the distance between a user's body and the video camera; the processor configured to execute a video frame user presence detection system to: slice a video frame into a plurality of video frame slices; based on the distance data, create a human object presence (HOP) heat map to assign a probability of the presence of the user's body within each video frame slice of the video frame; the processor configured to select, among the plurality of video frame slices, those video frame slices with an assigned probability of presence of the user's body that exceeds a threshold probability as a HOP video f

Abstract: An information handling system executing a multimedia multi-user collaboration application (MMCA) may include a memory; a power management unit; a camera to capture video of a user participating in a video conference session; a processor configured to execute code instructions of a trained intelligent collaboration contextual session management system (ICCSMS) neural network to receive as inputs: the type of AV processing instruction modules enabled descriptive of how to visually transform a video frame during a video conference session executed by a multimedia multi-user collaboration application; and sensor data from a plurality of sensors including an ambient light sensor to detect ambient light around a participant of the video conference session and a color senser to detect color vectors in the video frame; the processor applies AV processing instruction adjustments to the enabled AV processing instruction modules received as output from the trained ICC SMS machine learning module to adjust the lighting

Abstract: A system or method executing an intelligent appearance monitoring management system comprising a processor to execute code instructions of a multimedia multi-user collaboration application to join a videoconference session, a display screen, a speaker, a video camera, and a microphone where the video camera captures a videoframe of a user and the processor to input videoframe data, including the detected user's image, into a trained neural network of the intelligent appearance monitoring management system to generate optimized appearance filtering adjustments indicating detection of a user appearance anomaly in the user's image or altering a user's image in the captured videoframes in response to the user appearance anomaly and prepare those videoframes for transmission.

Abstract: An intelligent video processing management method may comprise joining a videoconference session with multiple participants via a multimedia multi-user collaboration application, detecting a current central processing unit (CPU) consumption by the multimedia multi-user collaboration application and a current MMCA processor setting, associating each of the participants with an organizational ranking relative to the purpose of the videoconference session, inputting sensor data including the participant's organizational rankings, the current CPU consumption by the multimedia multi-user collaboration application, and the current MMCA processor setting to a trained neural network, outputting from the neural network an optimized boundary detection algorithm selection instruction predicted to adjust performance of the information handling system to meet a preset performance benchmark requirement, during the videoconference session, and applying a virtual background around a boundary of a user of the information hand

Abstract: An intelligent video processing management method may comprise joining a videoconference session with multiple participants via a multimedia multi-user collaboration application, detecting a current central processing unit (CPU) consumption by the multimedia multi-user collaboration application and a current MMCA processor setting, associating each of the participants with an organizational ranking relative to the purpose of the videoconference session, inputting sensor data including the participant's organizational rankings, the current CPU consumption by the multimedia multi-user collaboration application, and the current MMCA processor setting to a trained neural network, outputting from the neural network an optimized boundary detection algorithm selection instruction predicted to adjust performance of the information handling system to meet a preset performance benchmark requirement, during the videoconference session, and applying a virtual background around a boundary of a user of the information hand

Abstract: An information handling system executing a multimedia multi-user collaboration application (MMCA) may include a memory; a power management unit; a video camera to capture video of a user participating in a video conference session conducted by a processor executing code instructions of the MMCA via a first network link on a network interface device; a time-of-flight (TOF) sensor to provide distance data descriptive of the distance between a user's body and the video camera; the processor configured to execute a video frame user presence detection system to: slice a video frame into a plurality of video frame slices; based on the distance data, create a human object presence (HOP) heat map to assign a probability of the presence of the user's body within each video frame slice of the video frame; the processor configured to select, among the plurality of video frame slices, those video frame slices with an assigned probability of presence of the user's body that exceeds a threshold probability as a HOP video f

Abstract: A host server information handling system executing a multimedia multi-user collaboration application (MMCA) may include a processor; a memory; a power management unit; a network interface device to receive and provide audio/visual (AV) data during execution of the MMCA for a video conference session; the processor configured to execute a collaborative rights information management system to: manage the recordation of a video conference session during the execution of the MMCA to create a recording of the video conference session and assign a first password to protect the recording of the video conference session as a default password; assign a security level to the recording of the video conference session; and permit access, via the network interface device, to the recordings of the video conference session by transmitting the password to those users who are associated with a higher user access permission level than the aggregated user access permissions and are authorized to access the recording.

Abstract: A method and system for intelligent collaboration multi-application and power management for an information handling system may comprise joining a videoconference session with multiple participants via a multimedia multi-user collaboration application (MMCA), detecting power connections or battery levels and detecting a current processor consumption by the multimedia multi-user collaboration application and a current MMCA processor settings, and to output from a trained neural network an optimized processor utilization instruction, an optimized A/V processing instruction adjustment, and an optimized media capture instruction adjustment predicted to decrease the power consumed by one or more processors executing code instructions of the MMCA during the videoconference session to fall below the preset power consumption threshold value when applicable.

Abstract: A system or method executing an intelligent videoframe privacy monitoring management system comprising a processor to execute code instructions of a multimedia multi-user collaboration application to join a videoconference session, a display screen, a speaker, a video camera, and a microphone where the video camera captures a videoframe of a user or background to be transmitted in the videoconference session and the processor to determine from input videoframe data and the detected sensor distance data of the user or the objects or inputting these into the intelligent videoframe privacy monitoring management system to generate optimized videoframe privacy adjustments to apply a privacy alteration to captured videoframes when the user is detected as absent, other faces, or background movement is detected.

Abstract: A system or method executing an intelligent face framing management system comprising a processor to execute code instructions of a multimedia multi-user collaboration application to join a videoconference session, a display screen, a speaker, a video camera, and a microphone where the video camera captures a videoframe of a user and the processor to input videoframe data, including the detected user's image, into a trained neural network to determine image features for the intelligent face framing management system to generate optimized face framing adjustments center or normalize the user's image in the captured videoframes or intelligently select an alternate camera and prepare those videoframes for transmission.

Abstract: End user cumulative blue light exposure from a display is tracked over time so that a message may be provided to the end user if the exposure exceeds a threshold. For instance, a display frame buffer is retrieved to determine an average blue light component presented at the display, which is then adjusted based upon display characteristics, such as display size, luminance and brightness, end user distance to the display and a sensed ambient blue light component.

Abstract: End user interactions at a display are monitored for predetermined conditions to provide augmentation of display presentation by a red light that illuminates in the 650 to 800 nm range, such as at substantially 670 nm. Instructions stored in non-transient memory and executed on a processor present visual images of varied color contrast and evaluate end user inputs to determine an end user visual acuity. Over time and use of the display and red light, end user visual acuity is periodically tested to evaluate the effectiveness of red light illumination to restore visual acuity.

Abstract: An information handling system executing a multimedia multi-user collaboration application (MMCA) may include a memory; a power management unit; a camera to capture video of a user participating in a video conference session; a processor configured to execute code instructions of a trained intelligent collaboration contextual session management system (ICCSMS) neural network to receive as inputs: the type of AV processing instruction modules enabled descriptive of how to visually transform a video frame during a video conference session executed by a multimedia multi-user collaboration application; and sensor data from a plurality of sensors including an ambient light sensor to detect ambient light around a participant of the video conference session and a color senser to detect color vectors in the video frame; the processor applies AV processing instruction adjustments to the enabled AV processing instruction modules received as output from the trained ICC SMS machine learning module to adjust the lighting