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公开(公告)号：US20210227152A1
公开(公告)日：2021-07-22
申请号：US17025255
申请日：2020-09-18
Inventor： Henan ZHANG , Xin LI , Fu LI , Tianwei LIN , Hao SUN , Shilei WEN , Hongwu ZHANG , Errui DING
Abstract: Embodiments of the present disclosure provide a method and apparatus for generating an image. The method may include: receiving a first image including a face input by a user in an interactive scene; presenting the first image to the user; inputting the first image into a pre-trained generative adversarial network in a backend to obtain a second image output by the generative adversarial network; where the generative adversarial network uses face attribute information generated based on the input image as a constraint; and presenting the second image to the user in response to obtaining the second image output by the generative adversarial network in the backend.
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2.发明申请公开(公告)号：US20210216783A1
公开(公告)日：2021-07-15
申请号：US17144523
申请日：2021-01-08
Inventor： Xiang LONG , Dongliang HE , Fu LI , Xiang ZHAO , Tianwei LIN , Hao SUN , Shilei WEN , Errui DING
Abstract: A method includes screening, by a video-clip screening module in a video description model, a plurality of video proposal clips acquired from a video to be analyzed, to acquire a plurality of video clips suitable for description. The plural video proposal clips acquired from the video to be analyzed may be screened by the video-clip screening module to acquire the plural video clips suitable for description; and then, each video clip is described by a video-clip describing module, thus avoiding description of all the video proposal clips, only describing the screened video clips which have strong correlation with the video and are suitable for description, removing the interference of the description of the video clips which are not suitable for description in the description of the video, guaranteeing the accuracy of the final descriptions of the video clips, and improving the quality of the descriptions of the video clips.
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公开(公告)号：US20200322684A1
公开(公告)日：2020-10-08
申请号：US16622876
申请日：2018-07-18
Inventor： Liqiang DONG , Xiaodong CAO , Xinwei YU , Guoqing CHEN , Chunxin JIA , Su WANG , Jinsheng CHEN , Xi ZENG , Xin ZHANG , Jiaqi JIANG , Zhenhua LIU , Yueyang SONG , Shilei WEN , Fu LI , Hao SUN , Xiao LIU , Lixing GONG , Tianbao YU , Feng LI , Fei LI , Junling ZHAO , Haiping WANG , Yan XIA , Chao LI , Xiu WEI , Qi GAO
IPC: H04N21/466 , H04N21/488 , H04N21/44 , H04N21/431 , G06F16/735 , G06F16/783
Abstract: The present disclosure provides a video recommendation method and a video recommendation apparatus, a computer device and a storage medium. The video recommendation method includes: acquiring a target short video; identifying, from candidate long videos, a target long video that the target short video is from based on a video fingerprint feature of the target short video and video fingerprint features of the candidate long videos; and recommending the target long video.
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公开(公告)号：US20220207299A1
公开(公告)日：2022-06-30
申请号：US17460646
申请日：2021-08-30
Inventor： Chao LI , Dongliang HE , Wenling GAO , Fu LI , Hao SUN
Abstract: A method for building an image enhancement model includes obtaining training data; building a neural network model consisting of a feature extraction module, at least one channel dilated convolution module and a spatial upsampling module, where each channel dilated convolution module includes a spatial downsampling submodule, a channel dilation submodule and a spatial upsampling submodule; training the neural network model by using the video frames and the standard images corresponding to the video frames until the neural network model converges, to obtain an image enhancement model. In addition, a method for image enhancement includes obtaining a video frame to be processed; taking the video frame to be processed as an input of an image enhancement model, and taking an output result of the image enhancement model as an image enhancement result of the video frame to be processed.
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公开(公告)号：US20210343065A1
公开(公告)日：2021-11-04
申请号：US17373420
申请日：2021-07-12
Inventor： Tianwei LIN , Fu LI , Xin LI , Henan ZHANG , Hao SUN
Abstract: The disclosure discloses a cartoonlization processing method for an image, and relates to a field of computational vision, image processing, face recognition, deep learning technologies. The method includes: performing skin color recognition on a facial image to be processed to determine a target skin color of a face in the facial image; processing the facial image by utilizing any cartoonizing model in a cartoonizing model set to obtain a reference cartoonized image corresponding to the facial image in a case that the cartoonizing model set does not contain a cartoonizing model corresponding to the target skin color; determining a pixel adjustment parameter based on the target skin color and a reference skin color corresponding to the any cartoonizing model; and adjusting a pixel value of each pixel point in the reference cartoonized image based on the pixel adjustment parameter, to obtain a target cartoonized image corresponding to the facial image.
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Patent Agency Ranking
公开(公告)号：US20210334950A1
公开(公告)日：2021-10-28
申请号：US17174002
申请日：2021-02-11
Inventor： Xiang LONG , Ping WANG , Zhichao ZHOU , Fu LI , Dongliang HE , Hao SUN
Abstract: Embodiments of the present disclosure provide a method and apparatus for processing an image, and relates to the field of computer vision technology. The method may include: acquiring a value to be processed, where the value to be processed is associated with an image to be processed; and processing the value to be processed by using a quality scoring model to generate a score of the image to be processed in a target scoring domain, where the score of the image to be processed in the target scoring domain is related to an image quality of the image to be processed.
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公开(公告)号：US20210241498A1
公开(公告)日：2021-08-05
申请号：US17301070
申请日：2021-03-24
Inventor： Hao SUN , Fu LI , Xin LI , Tianwei LIN
Abstract: The disclosure provides a method for processing an image, an electronic device, and a storage medium, belonging to a field of computer vision and deep learning. An image including a face figure is acquired. Facial feature information matching the face figure is extracted. A style of the image is converted to a preset drawing style based on the facial feature information to obtain a style transferred image.
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公开(公告)号：US20210227302A1
公开(公告)日：2021-07-22
申请号：US17026488
申请日：2020-09-21
Inventor： Fu LI , Dongliang HE , Hao SUN
IPC: H04N21/81 , H04N21/8549 , H04N21/658 , H04N21/234
Abstract: Embodiments of the present disclosure relate to a method and apparatus for selecting a video clip, a server and a medium. The method may include: determining at least two video clips from a video; for each video clip, perform following excitement determination steps: inputting a feature sequence of a video frame in the video clip and title information of the video into a pre-established prediction model to obtain a relevance between the inputted video frame and a title of the video; and determining an excitement of the video clip, based on the relevance between the video frame in the video clip and the title; and determining a target video clip from the video clips, based on the excitement of each of the video clips.
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公开(公告)号：US20210201448A1
公开(公告)日：2021-07-01
申请号：US17203437
申请日：2021-03-16
Inventor： Chao LI , Dongliang HE , Fu LI , Hao SUN
Abstract: An image filling method and apparatus, a device and a storage medium are disclosed. The image filling method includes: performing multilevel encoding processing on features of an image to be filled to generate multilevel encoded feature layers, sizes of the multilevel encoded feature layers being reduced layer by layer; performing layer-by-layer decoding processing on the multilevel encoded feature layers to obtain multilevel decoded feature layers and a first image, there being no missing region in the first image, wherein the layer-by-layer decoding processing includes a concatenation operation on a decoded feature layer and an encoded feature layer with a same size; and performing up-sampling processing on the first image to obtain multilevel up-sampled feature layers and a second image optimized by the up-sampling processing, the up-sampling processing including a concatenation operation on an up-sampled feature layer and a decoded feature layer with a same size.
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10.发明申请公开(公告)号：US20210216782A1
公开(公告)日：2021-07-15
申请号：US17144205
申请日：2021-01-08
Inventor： Tianwei LIN , Xin LI , Dongliang HE , Fu LI , Hao SUN , Shilei WEN , Errui DING
Abstract: A method and apparatus for detecting a temporal action of a video, an electronic device and a storage medium are disclosed, which relates to the field of video processing technologies. An implementation includes: acquiring an initial temporal feature sequence of a video to be detected; acquiring, by a pre-trained video-temporal-action detecting module, implicit features and explicit features of a plurality of configured temporal anchor boxes based on the initial temporal feature sequence; and acquiring, by the video-temporal-action detecting module, the starting position and the ending position of a video clip containing a specified action, the category of the specified action and the probability that the specified action belongs to the category from the plural temporal anchor boxes according to the explicit features and the implicit features of the plural temporal anchor boxes.
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