- 专利标题: Processing video frames via convolutional neural network using previous frame statistics
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申请号: US16790456申请日: 2020-02-13
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公开(公告)号: US11823352B2公开(公告)日: 2023-11-21
- 发明人: Noam Elron
- 申请人: INTEL CORPORATION
- 申请人地址: US CA Santa Clara
- 专利权人: INTEL CORPORATION
- 当前专利权人: INTEL CORPORATION
- 当前专利权人地址: US CA Santa Clara
- 代理机构: HANLEY, FLIGHT & ZIMMERMAN, LLC
- 主分类号: G06T5/00
- IPC分类号: G06T5/00 ; G06N3/08 ; G06F17/18 ; G06F17/16 ; G06N3/045
摘要:
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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