PROCESSING VIDEO FRAMES VIA CONVOLUTIONAL NEURAL NETWORK USING PREVIOUS FRAME STATISTICS

    公开(公告)号:US20200184606A1

    公开(公告)日:2020-06-11

    申请号:US16790456

    申请日:2020-02-13

    Inventor: Noam Elron

    Abstract: An example apparatus for video imaging includes a feature estimator to calculate a local value of a feature for averaging in a compressed set of features of a current frame. The apparatus also includes a validator to calculate a validity map comprising a weight for frame-wide averaging based on the compressed current frame. The apparatus further includes a vector generator to generate a state vector based on the local value of the feature and the weight. The apparatus further includes a relevance calculator to calculate a relevance to local processing for each coordinate in a restored state vector associated with a previous frame. The apparatus further includes a vector modulator to multiply the restored state vector by the relevance feature to generate a set of output features.

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