公开(公告)号：US20200184331A1

公开(公告)日：2020-06-11

申请号：US16691914

申请日：2019-11-22

Applicant: STMicroelectronics (Rousset) SAS

Inventor： Pierre Demaj ,  Laurent Folliot

IPC: G06N3/08 ,  G06N20/00 ,  G06F17/16

Abstract: A method can be used to process an initial set of data through a convolutional neural network that includes a convolution layer followed by a pooling layer. The initial set is stored in an initial memory along first and second orthogonal directions. The method includes performing a first filtering of the initial set of data by the convolution layer using a first sliding window along the first direction. Each slide of the first window produces a first set of data. The method also includes performing a second filtering of the first sets of data by the pooling layer using a second sliding window along the second direction.

公开(公告)号：US20190287009A1

公开(公告)日：2019-09-19

申请号：US16286133

申请日：2019-02-26

Applicant: STMicroelectronics (Rousset) SAS

Inventor： Laurent Folliot ,  Pierre Demaj

IPC: G06N5/04 ,  G06N20/00

Abstract: An embodiment provides a method for controlling scene detection by a device from among a set of possible reference scenes. The method includes detection of scenes from among the set of possible reference scenes at successive instants of detection using at least one classification algorithm. Each new current detected scene is assigned an initial probability of confidence. The initial probability of confidence is updated depending on a first probability of transition from a previously detected scene to the new current detected scene. A filtering processing operation is performed on these current detected scenes on the basis of at least the updated probability of confidence associated with each new current detected scene. The output of the filtering processing operation successively delivers filtered detected scenes.

公开(公告)号：US20180330203A1

公开(公告)日：2018-11-15

申请号：US15924608

申请日：2018-03-19

Applicant: STMicroelectronics (Rousset) SAS

Inventor： Pierre Demaj ,  Laurent Folliot

IPC: G06K9/62 ,  G06K9/00

CPC classification number: G06K9/6282 ,  G06K9/00624 ,  G06K9/6277 ,  G06K9/6293

Abstract: A method is provided for monitoring scene detection by an apparatus detecting scenes from among a set of possible reference scenes. It includes an assignment of an identifier to each reference scene, detection of scenes from among the set of possible reference scenes at successive instants of detection with the aid of at least one classification algorithm, and a sliding time filtering processing of these detected current scenes over a filtering window of size M, based on the identifier of each new detected current scene taken into account in the window and a confidence probability associated with this new detected current scene, the output of the filtering processing successively delivering filtered detected scenes.

公开(公告)号：US20180255171A1

公开(公告)日：2018-09-06

申请号：US15799152

申请日：2017-10-31

Applicant: STMicroelectronics (Rousset) SAS

Inventor： Pierre Demaj ,  Laurent Folliot

IPC: H04M1/725 ,  H04W4/02 ,  G01D21/02

Abstract: A method can be used for managing a real-time detection related to a scene. A succession of steps of scene detection is spaced apart by time intervals. A time interval separating a current step of scene detection from a previous step of scene detection is adjusted according to an adjustment criterion linked to a previous scene actually detected. The succession of steps and the adjustment are performed by a wireless communication apparatus.