METHOD FOR CONTROLLING SCENE DETECTION USING AN APPARATUS

    公开(公告)号:US20190287009A1

    公开(公告)日:2019-09-19

    申请号:US16286133

    申请日:2019-02-26

    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.

    Method and Apparatus for Monitoring Scene Detection

    公开(公告)号:US20180330203A1

    公开(公告)日:2018-11-15

    申请号:US15924608

    申请日:2018-03-19

    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.

    Method for estimating a cyclostationary transmission channel, and corresponding receiver

    公开(公告)号:US09838077B2

    公开(公告)日:2017-12-05

    申请号:US15042509

    申请日:2016-02-12

    Abstract: A method is for processing an analog channel signal from a transmission channel. The analog channel signal conveys frames, the transmission channel being linear and cyclostationary for a duration of a frame. The method may include converting of the analog channel signal into a digital channel signal, and performing channel estimations for the frame based upon the digital channel signal to generate a sequence of N transfer functions of the transmission channel. Each of the sequence of N transfer functions may be respectively associated with N successive time slices. The method may include decoding at least some symbols of the frame using, for each of the symbols, a transfer function associated with a successive time slice including a respective symbol.

    PROCESS FOR MONITORING AT LEAST ONE ELEMENT IN A TEMPORAL SUCCESSION OF PHYSICAL SIGNALS

    公开(公告)号:US20230131838A1

    公开(公告)日:2023-04-27

    申请号:US17968148

    申请日:2022-10-18

    Abstract: According to one aspect, the disclosure proposes a method for detecting events or features in physical signals by implementing an artificial neural network. The method includes evaluating the probability of presence of the event or feature by implementing the artificial neural network. The method includes implementing the artificial neural network in a nominal mode and to which a physical signal having a first so-called nominal resolution is fed, as long as the probability of the presence of the event or feature is below a threshold. The method further includes implementing the artificial neural network in a reduced consumption mode with a reduced resolution, as long as the probability of the presence of the event or feature is above the threshold. The reduced resolution is lower than the first resolution.

    PROCESS FOR DETECTION OF EVENTS OR ELEMENTS IN PHYSICAL SIGNALS BY IMPLEMENTING AN ARTIFICIAL NEURON NETWORK

    公开(公告)号:US20230126848A1

    公开(公告)日:2023-04-27

    申请号:US17968174

    申请日:2022-10-18

    Abstract: According to one aspect, a method is provided for detecting events or elements in physical signals, including at least one implementation of a reference artificial neural network, at least one implementation of an auxiliary artificial neural network distinct from the reference artificial neural network. The auxiliary artificial neural network being simplified relative to the reference artificial neural network. At least one assessment of a probability of presence of the event or the element by the implementation of the reference artificial neural network or by the implementation of the auxiliary artificial neural network, where the reference artificial neural network is implemented when the probability of presence of the event or the element is greater than a threshold, and wherein the auxiliary artificial neural network is implemented when the probability of presence of the event or the element is below the threshold.

    METHOD FOR MEMORY ALLOCATION DURING EXECUTION OF A NEURAL NETWORK

    公开(公告)号:US20220188610A1

    公开(公告)日:2022-06-16

    申请号:US17455770

    申请日:2021-11-19

    Abstract: According to an aspect, a method is proposed for defining placements, in a volatile memory, of temporary scratch buffers used during an execution of an artificial neural network, the method comprising: determining an execution order of layers of the neural network, defining placements, in a heap memory zone of the volatile memory, of intermediate result buffers generated by each layer, according to the execution order of the layers, determining at least one free area of the heap memory zone over the execution of the layers, defining placements of temporary scratch buffers in the at least one free area of the heap memory zone according to the execution order of the layers.

    Method and apparatus for monitoring scene detection

    公开(公告)号:US10929724B2

    公开(公告)日:2021-02-23

    申请号:US15924608

    申请日:2018-03-19

    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.

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