VIDEO QUALITY ASSESSMENT METHOD AND APPARATUS

    公开(公告)号:US20210398265A1

    公开(公告)日:2021-12-23

    申请号:US17354646

    申请日:2021-06-22

    Abstract: A video quality assessment apparatus and method are provided. The video quality assessment apparatus includes a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory to: identify whether a frame included in a video is a fully-blurred frame or a partially-blurred frame based on a blur level of the frame, obtain, in response to the frame being the fully-blurred frame, an analysis-based quality score with respect to the fully-blurred frame; obtain, in response to the frame being the partially-blurred frame, a model-based quality score with respect to the partially-blurred frame; and process the video based on at least one of the analysis-based quality score or the model-based quality score to obtain a processed video.

    MOSAIC GENERATION APPARATUS AND METHOD

    公开(公告)号:US20210104017A1

    公开(公告)日:2021-04-08

    申请号:US17026926

    申请日:2020-09-21

    Abstract: A mosaic generation apparatus includes: a display outputting an image, a memory storing one or more instructions, and a processor configured to execute the one or more instructions stored in the memory to: extract a first feature value from one of a plurality of sub-base areas included in a base image, extract a second feature value from one source image selected from among a plurality of source images, and generate a sub-mosaic corresponding to the one sub-base area using the first feature value and the second feature value.

    IMAGE PROCESSING APPARATUS AND CONTROL METHOD THEREOF

    公开(公告)号:US20200160056A1

    公开(公告)日:2020-05-21

    申请号:US16688265

    申请日:2019-11-19

    Abstract: Disclosed herein is an image processing apparatus and a control method thereof. The image processing apparatus includes communication circuitry, a storage, and a controller configured to control the image processing apparatus to: perform object recognition for recognizing a plurality of objects in first image data stored in the storage, obtain a score inferred through operation processing through a neural network for the recognized plurality of objects, generate second image data based on the obtained score and proximity of the plurality of objects, and perform image processing based on the second image data.

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