System and method for intelligent appearance monitoring management system for videoconferencing applications

A method for intelligently managing a user's appearance in a collaboration videoconference session for an information handling system, comprising:

• executing code instructions of a multimedia multi-user collaboration application, via a processor, to join a videoconference session of a remotely located computing device;
• capturing a videoframe of a user via a video camera, wherein the videoframe includes the user's image;
• inputting videoframe data including the user's image and media capture settings for the captured videoframe into a trained intelligent appearance monitoring management system neural network;
• executing code instructions of the trained intelligent appearance monitoring management system neural network, via the processor, to output an optimized appearance filtering adjustment in response to detection of a user appearance anomaly in the user's image relative to reference images of the user during the videoconference session;
• capturing plural videoframes, via the video camera, for the videoconference session with the optimized appearance filtering adjustment in response to detection of the user appearance anomaly;
• and
• transmitting, via a network interface device, a processed, encoded media sample, including the captured plural videoframes with the optimized appearance filtering adjustment for the detected user appearance anomaly to the remotely located computing device participating in the videoconference session.

An information handling system 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 with a remotely located computing device;
• a display screen, a speaker, a video camera, and a microphone;
• the video camera configured to capture a videoframe of a user;
• the processor to execute code instructions to input videoframe data, including a detected user's image and media capture settings into a trained neural network of the intelligent appearance monitoring management system;
• the processor to execute code instructions of a trained neural network of the intelligent appearance monitoring management system to output optimized appearance filtering adjustments indicating detection of a user appearance anomaly in the user's image relative to reference images of the user during the videoconference session;
• the video camera configured to capture plural, additional videoframes of the videoconference session to process the captured plural, additional videoframes and apply an anomaly correction adjustment to the user's image in response to the identified user appearance anomaly;
• and
• a network interface device configured to transmit the processed, captured plural additional videoframes with the anomaly correction adjustment to the remotely located computing device participating in the videoconference session.