A performance-enhanced computing system comprising: a plurality of cameras (602a-602h) to capture panoramic video content; a plurality of microphones to detect audio content; a memory including a set of instructions; and a processor coupled to the plurality of cameras and the memory, wherein when executed by the processor, the instructions cause the system to: determine, on a per camera basis, an interest level with respect to the panoramic video content and audio content, identify a subset of cameras in the plurality of cameras for which the interest level is below a threshold, and reduce a frame rate of the subset of cameras, reduce a resolution of the subset of cameras, reduce an audio sample rate of one or more microphones corresponding to the subset of cameras, or disable the subset of cameras, wherein identifying the subset of cameras in the plurality of cameras for which the interest level is below a threshold includes for each camera of the plurality of cameras conducting a semantic video feature extraction on video content obtained by the camera using a pre-trained classification model and semantic acoustic event detection on audio content obtained by a microphone using a pre-determined acoustic model, and deriving the interest level as a total of a number of features obtained by the semantic video feature extraction and a number of events obtained by the semantic acoustic event detection on the video content divided by a maximum number of features and events. a plurality of cameras (602a-602h) to capture panoramic video content; a plurality of microphones to detect audio content; a memory including a set of instructions; and a processor coupled to the plurality of cameras and the memory, wherein when executed by the processor, the instructions cause the system to: determine, on a per camera basis, an interest level with respect to the panoramic video content and audio content, identify a subset of cameras in the plurality of cameras for which the interest level is below a threshold, and reduce a frame rate of the subset of cameras, reduce a resolution of the subset of cameras, reduce an audio sample rate of one or more microphones corresponding to the subset of cameras, or disable the subset of cameras, wherein identifying the subset of cameras in the plurality of cameras for which the interest level is below a threshold includes for each camera of the plurality of cameras conducting a semantic video feature extraction on video content obtained by the camera using a pre-trained classification model and semantic acoustic event detection on audio content obtained by a microphone using a pre-determined acoustic model, and deriving the interest level as a total of a number of features obtained by the semantic video feature extraction and a number of events obtained by the semantic acoustic event detection on the video content divided by a maximum number of features and events. determine, on a per camera basis, an interest level with respect to the panoramic video content and audio content, identify a subset of cameras in the plurality of cameras for which the interest level is below a threshold, and reduce a frame rate of the subset of cameras, reduce a resolution of the subset of cameras, reduce an audio sample rate of one or more microphones corresponding to the subset of cameras, or disable the subset of cameras, wherein identifying the subset of cameras in the plurality of cameras for which the interest level is below a threshold includes for each camera of the plurality of cameras conducting a semantic video feature extraction on video content obtained by the camera using a pre-trained classification model and semantic acoustic event detection on audio content obtained by a microphone using a pre-determined acoustic model, and deriving the interest level as a total of a number of features obtained by the semantic video feature extraction and a number of events obtained by the semantic acoustic event detection on the video content divided by a maximum number of features and events.