Patent ID: 11948361
Assignee: GRACENOTE, INC.
Field: Audio-visual technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 17:
18. The system of claim 17, wherein the ANN comprises both a graph neural network (GNN) and a clustering ANN, wherein the GNN is trained to predict a respective embedding training vector for each respective training node of the training media graph, the respective embedding training vector comprising a reduced-dimension mapping of a respective training feature vector associated with the respective training node, and wherein the clustering ANN is trained to predict clusters of the training nodes corresponding to the training media frames of the respective training media segments,
and wherein applying the ANN to the media graph to compute both (i) the predicted labels for the nodes of the media graph, and (ii) the predicted clusters of the nodes corresponding to predicted media segments comprises:
applying the trained GNN to the media graph to predict a respective embedding vector for each respective node of the media graph; and
applying the trained clustering ANN to the respective embedding vectors to predict clusters of the nodes, and to predict node labels corresponding to the respective labels of the media frames.