TY  - PAT
AU  - Cesar de Souza
AU  - Adrien Gaidon
AU  - Eleonora Vig
AU  - Antonio Lopez
PY  - 2018//
TI  - System and method for video classification using a hybrid unsupervised and supervised multi-layer architecture
KW  - US9946933B2
N2  - A computer-implemented video classification method and system are disclosed. The method includes receiving an input video including a sequence of frames. At least one transformation of the input video is generated, each transformation including a sequence of frames. For the input video and each transformation, local descriptors are extracted from the respective sequence of frames. The local descriptors of the input video and each transformation are aggregated to form an aggregated feature vector with a first set of processing layers learned using unsupervised learning. An output classification value is generated for the input video, based on the aggregated feature vector with a second set of processing layers learned using supervised learning.
N1  - ADAS; 600.118
ID  - Cesar de Souza2018
ER  -