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公开(公告)号:US20220392267A1
公开(公告)日:2022-12-08
申请号:US17820588
申请日:2022-08-18
Inventor: Xin LI , Shengzhao WEN , Haocheng FENG
Abstract: An update method for a face database, and a face recognition method, an apparatus and a system, including: obtaining a face image set belonging to a same user as an obtained current face image in an original face database, where the face database includes a face image set of at least one user, and the face image set includes a stored face image; determining similarity between the current face image and the stored face image of the same user, where there is a count value for the stored face image of the same user, and the count value represents a number of consecutive unsuccessful matches or consecutive successful matches between the stored face image of the same user and a further face image of the same user; and updating the original face database according to the similarity and the count value.
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公开(公告)号:US20230008473A1
公开(公告)日:2023-01-12
申请号:US17944745
申请日:2022-09-14
Inventor: Xin LI , He ZHENG , Fanglong LIU , Dongliang HE
IPC: H04N19/159 , H04N19/182 , G06V20/40
Abstract: A video repairing method, apparatus, device, medium, and product are provided. The method includes: acquiring a to-be-repaired video frame sequence; determining a target category corresponding to each pixel in the to-be-repaired video frame sequence based on the to-be-repaired video frame sequence and a preset category detection model; determining, from the to-be-repaired video frame sequence, to-be-repaired pixels each with a target category being a to-be-repaired category; and performing repairing on to-be-repaired areas corresponding to the to-be-repaired pixels to obtain a target video frame sequence.
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公开(公告)号:US20220319141A1
公开(公告)日:2022-10-06
申请号:US17845843
申请日:2022-06-21
Inventor: Fanglong LIU , Xin LI , Dongliang HE
IPC: G06V10/22 , G06T7/11 , H04N19/174
Abstract: A methods for processing an image, a device, and a storage medium are provided. The method may include: inputting a target image into a pre-trained image segmentation model, the target image including at least one sub-image; extracting high-level semantic features and low-level features of the target image through the image segmentation model, and determining target location information of the sub-image in the target image based on the high-level semantic features and the low-level features; and performing a preset processing operation on the sub-image, based on the target location information of the sub-image.
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公开(公告)号:US20220027661A1
公开(公告)日:2022-01-27
申请号:US17479872
申请日:2021-09-20
Inventor: Ruifeng DENG , Tianwei LIN , Xin LI , Fu LI
Abstract: There is provided a method and an apparatus of processing image, an electronic device, and a storage medium, which relates to a field of artificial intelligence technology, and specifically relates to a computer vision and deep learning technology applied to an image acquisition scene. The method includes performing a saliency detection on an original image to obtain a saliency map of the original image; performing a semantic segmentation on the original image to obtain a semantic segmentation map of the original image; modifying the saliency map by using the semantic segmentation map, so as to obtain a target map containing a target object; and cropping the original image based on a position of the target object in the target map.
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