Features are detected from a sensor signal via a deep-learning network or other feature engineering methods in an edge processing node. Machine-learned metadata is created that describes the features, and a hash is created with the machine-learned metadata. The sensor signal is stored as a content object at the edge processing node, the object being keyed with the hash at, the edge processing node.