ELECTRONIC DEVICE AND CONTROLLING METHOD THEREOF

    公开(公告)号:US20240420463A1

    公开(公告)日:2024-12-19

    申请号:US18814120

    申请日:2024-08-23

    Abstract: An electronic device includes a memory configured to store a trained neural network model and a processor configured to, by inputting an input image to the trained neural network model, obtain a quality score of the input image, a pixel quality score for each pixel included in the input image and a Region of Interest (ROI) score for the each pixel. The trained neural network obtains feature information for each pixel in the input image, a quality score of each pixel, and an ROI score for the each pixel. A computation module obtains an image quality score for the input image based on pixel quality score and the ROI score for the each pixel.

    ELECTRONIC DEVICE AND METHOD FOR CONTROLLING THE ELECTRONIC DEVICE THEREOF

    公开(公告)号:US20240185603A1

    公开(公告)日:2024-06-06

    申请号:US18379969

    申请日:2023-10-13

    CPC classification number: G06V20/41 G06V10/225 G06V10/82 G06V20/46

    Abstract: Provided are an electronic device and a control method thereof. The electronic device includes at least one memory storing at least one instruction; and at least one processor connected to the at least one memory and configured to execute the at least one instruction to: input information about a first frame among a plurality of frames to a first object detection network and obtain first information about an object included in the first frame, store the first information in the at least one memory, and input the first information and information about a second frame among the plurality of frames to a second object detection network and obtain second information about an object included in the second frame, wherein the second frame is a next frame following the first frame.

    IMAGE PROCESSING APPARATUS AND METHOD THEREOF

    公开(公告)号:US20200160062A1

    公开(公告)日:2020-05-21

    申请号:US16685553

    申请日:2019-11-15

    Abstract: Provided are an image processing apparatus and method. The image processing apparatus includes a decoder configured to decode image frames of an image; an image quality controller configured to obtain a genre recognition confidence of a previous image frame and a genre recognition confidence of a current image frame, and identify image quality control factor value, based on the genre recognition confidence of the previous image frame and the genre recognition confidence of the current image frame; and an image quality processor configured to image-quality process at least one of the decoded image frames by using the image quality control factor value, and output the processed at least one of the decoded image frames.

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