System and method for intelligent virtual background management for videoconferencing applications

An intelligent video processing management method, comprising:

• joining a videoconference session with a plurality of participants via a processor executing code instructions of a multimedia multi-user collaboration application (MMCA);
• detecting a current consumption of the processor resources by the multimedia multi-user collaboration application and an MMCA processor setting identifying one of a plurality of processors executing code instructions of the MMCA;
• associating each of the plurality of participants with an organizational ranking relative to the user of the videoconference session determined from a labeled organizational ranking for invited participants, email of invited participants, or social media indications of organizational ranking for invited participants;
• inputting the organizational ranking of each of the plurality of participants, the current consumption of the processor resources by the MMCA, and the MMCA processor setting to a trained neural network of the intelligent contextual virtual background management system, via the processor;
• executing the trained neural network, via the processor, and outputting optimized MMCA processor utilization instructions predicted to adjust performance of the information handling system to meet a preset performance benchmark requirement, during the videoconference session based on detected organizational ranking of each of the plurality of participants relative to the user of the MMCA;
• and
• processing a video sample captured by a camera by applying a virtual background around a boundary of the user detected according to the optimized MMCA processor utilization instructions.

An information handling system executing an intelligent contextual virtual background management system, comprising:

• a first processor to execute code instructions of a multimedia multi-user collaboration application (MMCA) to join a videoconference session with a plurality of participants;
• the first processor to determine a current consumption of processing resources of the first processor by the MMCA and an MMCA processor setting identifying one of a plurality of processors executing code instructions of the MMCA to apply a virtual background;
• the first processor to execute code instructions of the intelligent contextual virtual background management system to associate each of the plurality of participants with organizational rankings relative to the user of the videoconference session indicating a purpose of the videoconference session;
• the first processor to execute code instructions to input the organizational ranking of each of the plurality of participants and the current consumption of the first processor resources by the multimedia multi-user collaboration application to a trained neural network of the intelligent contextual virtual background management system and to output an optimized virtual background selection instruction to select a virtual background tailored for the purpose of the videoconference session for use with the streaming video of the user based on the organizational ranking of the plurality of participants relative to the user;
• and
• the first processor configured to process a video sample captured by a camera by applying a virtual background selected according to the optimized virtual background selection instruction around a boundary of the user.