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    SYSTEM AND METHOD OF CONVOLUTIONAL NEURAL NETWORK
    52.
    发明公开
    SYSTEM AND METHOD OF CONVOLUTIONAL NEURAL NETWORK 审中-公开

    公开(公告)号：US20240013400A1

    公开(公告)日：2024-01-11

    申请号：US17860750

    申请日：2022-07-08

    Applicant: TAIWAN SEMICONDUCTOR MANUFACTURING COMPANY, LTD. ,  NATIONAL TSING HUA UNIVERSITY

    Inventor： Chao-Tsung HUANG ,  Kai-Ping LIN

    IPC: G06T7/174

    CPC classification number: G06T7/174 ,  G06T2207/20021 ,  G06T2207/20084

    Abstract: A method includes: generating, by a processing device, at least one first output image block based on a first image block group; storing stored image blocks corresponding to a first part of the first image block group in the processing device; and after the at least one first output image block is generated, generating, by the processing device, at least one second output image block based on a first image block and the stored image blocks, wherein the first image block group and the first image block are arranged in order along a first direction, and the at least one first output image block and the at least one second output image block are arranged in order along the first direction. A system is also disclosed herein.

    REMOVAL OF OBJECTS FROM IMAGES
    53.
    发明公开
    REMOVAL OF OBJECTS FROM IMAGES 审中-公开

    公开(公告)号：US20240013351A1

    公开(公告)日：2024-01-11

    申请号：US17862272

    申请日：2022-07-11

    Applicant: QUALCOMM Incorporated

    Inventor： Shizhong LIU

    IPC: G06T5/00 ,  G06T5/50 ,  G06T7/20 ,  G06T7/00 ,  G06T7/11 ,  G06T7/174 ,  H04N5/232

    CPC classification number: G06T5/005 ,  G06T5/50 ,  G06T7/20 ,  G06T7/97 ,  G06T7/11 ,  G06T7/174 ,  H04N5/232935 ,  H04N5/23229 ,  G06T2207/20092

    Abstract: Systems and techniques are provided for adjusting objects in images. For example, a process can include obtaining a first image of a scene from a camera. The scene can include a first object positioned at a first position and a second object positioned at a second position. The process can include obtaining a second image of the scene from the camera. The second image of the scene can include the first object positioned at the first position and the second object positioned at a third position different from the second position. The process can include generating an adjusted second image based on the second image. The adjusted second image can include the first object positioned at the first position. The second object at the third position is removed from the adjusted second image. The process can include displaying the adjusted second image on a display.

    Composite group image
    55.
    发明授权
    Composite group image 有权

    公开(公告)号：US11854176B2

    公开(公告)日：2023-12-26

    申请号：US17313853

    申请日：2021-05-06

    Applicant: Shutterfly, LLC

    Inventor： Keith A. Benson

    IPC: G06T5/50 ,  G06T7/174 ,  G06T7/13

    CPC classification number: G06T5/50 ,  G06T7/13 ,  G06T7/174 ,  G06T2207/20221

    Abstract: A method and device for generating a composite group image from subgroup images is provided. Subgroup images, each having a common background, are accessed. The boundaries of a subgroup area within each of the subgroup images is determined. At least one horizontal and at least one vertical shift factor is determined using the determined boundaries. An arrangement for the subgroup images based on the at least one horizontal and the at least one vertical shift factor is generated. The composite group image is generated by blending the subgroup images arranged in the arrangement.

    IMAGE PROCESSING APPARATUS
    57.
    发明公开
    IMAGE PROCESSING APPARATUS 审中-公开

    公开(公告)号：US20230401722A1

    公开(公告)日：2023-12-14

    申请号：US18033181

    申请日：2020-10-29

    Applicant: NEC Corporation

    Inventor： Jun PIAO

    IPC: G06T7/174 ,  G06V20/52 ,  G06V10/26

    CPC classification number: G06T7/174 ,  G06V20/52 ,  G06V10/26 ,  G06V2201/07 ,  G06V2201/10 ,  G06T2207/20044

    Abstract: An image processing apparatus includes: an image accruing means acquiring a plurality of images captured at different times; a personal item detecting means detecting a personal item from each of the images; a skeleton information detecting means detecting skeleton information of a person from each of the images; a reidentification personal item selecting means selecting a personal item to reidentify by the detected personal item and skeleton information of the person; and a personal item reidentifying means determining whether or not a personal item to reidentify selected from one image of the plurality of images and a personal item to reidentify selected from another image of the images are identical personal items.

    METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR VIDEO COMPRESSION
    58.
    发明公开
    METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR VIDEO COMPRESSION 审中-公开

    公开(公告)号：US20230396778A1

    公开(公告)日：2023-12-07

    申请号：US17853262

    申请日：2022-06-29

    Applicant: Dell Products L.P.

    Inventor： Tianxiang Chen ,  Sanping Li

    IPC: H04N19/167 ,  H04N19/119 ,  G06V20/40 ,  G06T7/174 ,  G06T7/194

    CPC classification number: H04N19/167 ,  H04N19/119 ,  G06V20/41 ,  G06T7/174 ,  G06T7/194 ,  G06T2207/10016

    Abstract: Embodiments of the present disclosure relate to a method, a device, and a computer program product for video compression. The method includes: segmenting, in response to one or more features of an object in a video having a periodic change, the video into a plurality of segments based on a cycle of the periodic change; and identifying focal regions in frames of the video that are associated with the object. The method further includes: compressing the video based on the plurality of segments and the focal regions. This solution provides a content-aware lightweight video compression solution that supports content-based video deduplication at multiple scales and breaks the spatio-temporal continuity constraint of video frames during compression, thus enabling more effective video compression.

    METHOD AND DEVICE FOR MULTI-DNN-BASED FACE RECOGNITION USING PARALLEL-PROCESSING PIPELINES
    59.
    发明公开
    METHOD AND DEVICE FOR MULTI-DNN-BASED FACE RECOGNITION USING PARALLEL-PROCESSING PIPELINES 审中-公开

    公开(公告)号：US20230394875A1

    公开(公告)日：2023-12-07

    申请号：US18033185

    申请日：2022-04-22

    Applicant: Seoul National University R&DB Foundation

    Inventor： Young Ki Lee ,  Ju Heon Yi

    IPC: G06V40/16 ,  G06T7/174 ,  G06V10/82

    CPC classification number: G06V40/172 ,  G06T7/174 ,  G06V10/82

    Abstract: A facial recognition method executed by a facial recognition apparatus includes detecting at least one face region in units of image blocks from an input image; determining an expected facial recognition difficulty level of the at least one face region; determining a recognition pipeline to perform facial recognition on each of the at least one face region among a plurality of recognition pipelines based on the expected facial recognition difficulty level; distributing the at least one face region to the determined recognition pipeline; and performing facial recognition from each of the at least one face region by a recognition pipeline to which the at least one face region is distributed.

    IMAGE SEGMENTATION METHODS AND SYSTEMS
    60.
    发明公开
    IMAGE SEGMENTATION METHODS AND SYSTEMS 审中-公开

    公开(公告)号：US20230386044A1

    公开(公告)日：2023-11-30

    申请号：US18032059

    申请日：2021-10-12

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： SRINIVASA RAO KUNDETI ,  MANIKANDA KRISHNAN V

    IPC: G06T7/11 ,  G06T7/174 ,  G06T7/187 ,  G06T7/00

    CPC classification number: G06T7/11 ,  G06T7/174 ,  G06T7/187 ,  G06T7/0012 ,  G06T2207/20084 ,  G06T2207/30096 ,  G06T2207/30048 ,  G06T2207/10092 ,  G06T2207/20156

    Abstract: According to an aspect, there is provided a computer-implemented segmentation method (100, 210), the method comprising: performing a first automated segmentation operation (400) on one or more first images of a subject area to automatically determine a first segmentation map of the subject area, wherein the one or more first images are generated using a first technique; performing, at least partially based on the first segmentation map, a second automated segmentation operation (600) on one or more second images of the subject area to automatically determine a second segmentation map of the subject area, wherein the one or more second images of the subject area are generated using a second technique different from the first technique, the first and second imaging techniques to capture different properties of the subject area; automatically determining a mismatch between segmented portions of the first and second segmentation maps.

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