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    Movement detection circuit, motion estimation circuit, and associated movement detection method capable of recognizing movement of object in background
    1.
    发明授权
    Movement detection circuit, motion estimation circuit, and associated movement detection method capable of recognizing movement of object in background 有权

    公开(公告)号：US10812756B2

    公开(公告)日：2020-10-20

    申请号：US16278759

    申请日：2019-02-19

    Applicant: NOVATEK MICROELECTRONICS CORP.

    Inventor： Jen-Huan Hu

    IPC: H04N7/14 ,  H04N19/513 ,  H04N19/577 ,  H04N5/00 ,  H04N7/00 ,  H04N7/01 ,  H04N5/14

    Abstract: A movement detection circuit, a motion estimation circuit and associated movement detection method are provided. The movement detection circuit includes a candidate searching module including a first-frame and a second-frame candidate circuits, an object selection module including a first selection circuit, a second selection circuit, and a motion vector calculation circuit. The first-frame and the second-frame candidate circuits respectively locate a first and a second first-frame candidate positions in the first frame and locates a first and a second second-frame candidate positions in the second frame. The first-frame object selection circuit identifies one of the first and the second first-frame candidate positions as a first-frame object position, and the second-frame object selection circuit identifies one of the first and the second second-frame candidate positions as a second-frame object position. An object motion vector representing movement of an object based on the first-frame and the second-frame object positions is calculated.

    TRAINING METHOD FOR VIDEO STABILIZATION AND IMAGE PROCESSING DEVICE USING THE SAME
    2.
    发明申请
    TRAINING METHOD FOR VIDEO STABILIZATION AND IMAGE PROCESSING DEVICE USING THE SAME 有权

    公开(公告)号：US20220215207A1

    公开(公告)日：2022-07-07

    申请号：US17701710

    申请日：2022-03-23

    Applicant: Novatek Microelectronics Corp.

    Inventor： Jen-Huan Hu ,  Wei-Ting Chen ,  Yu-Che Hsiao ,  Shih-Hsiang Lin ,  Po-Chin Hu ,  Yu-Tsung Hu ,  Pei-Yin Chen

    IPC: G06K9/62 ,  G06N3/04 ,  G06T3/40 ,  G06N3/08 ,  G06V20/40

    Abstract: A training method for video stabilization and an image processing device using the same are proposed. The method includes the following steps. An input video including low dynamic range (LDR) images is received. The LDR images are converted to high dynamic range (HDR) images by using a first neural network. A feature extraction process is performed to obtain features based on the LDR images and the HDR images. A second neural network for video stabilization is trained according to the LDR images and the HDR images based on a loss function by minimizing a loss value of the loss function to generate stabilized HDR images in a time-dependent manner, where the loss value of the loss function depends upon the features. An HDR classifier is constructed according to the LDR images and the HDR images. The stabilized HDR images are classified by using the HDR classifier to generate a reward value, where the loss value of the loss function further depends upon the reward value.

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