1. A computer-implemented method comprising: receiving, from at least one data provider, a plurality of video feeds, at least one video feed of the plurality of video feeds having at least one of a resolution and a frame rate that is different relative to other video feeds of the plurality of video feeds; allocating, from a device memory, at least one chunk of memory from one or more variable-sized chunks of available memory of a memory pool; packaging the plurality of video feeds as a composite of the plurality of video feeds into the at least one allocated chunk of memory of the memory pool; and transferring the packaged composite of the plurality of video feeds to a machine-learning engine, the machine-learning engine including a neuro-linguistic model configured to determine anomalous behavior in the plurality of video feeds.