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公开(公告)号：US20210295085A1
公开(公告)日：2021-09-23
申请号：US17343176
申请日：2021-06-09
Inventor： Hao SUN
Abstract: The disclosure discloses an image moderation method, and relates to a field of deep learning, artificial intelligence, computer vision and natural language processing technologies. The solution includes: obtaining a target image to be moderated; labeling the target image to obtain multiple pieces of label information of the target image; obtaining at least one service vertical category to which the target image is to be launched; recognizing whether the multiple pieces of label information contain label information excluded by the service vertical category; and determining that the target image is a forbidden image in the service vertical category in a case that the multiple pieces of label information contain the label information excluded by the service vertical category.
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22.发明申请公开(公告)号：US20210209341A1
公开(公告)日：2021-07-08
申请号：US17211491
申请日：2021-03-24
Inventor： Xiaoqing YE , Xiao TAN , Hao SUN , Hongwu ZHANG
Abstract: The present disclosure provides a three-dimensional (3D) object detection method, a 3D object detection apparatus, an electronic device, and a readable storage medium, belonging to a field of computer vision technologies. Two-dimensional (2D) image parameters and initial 3D image parameters are determined for a target object. Candidate 3D image parameters are determined for the target object based on a disturbance range of 3D parameters and the initial 3D image parameters determined for the target object. Target 3D image parameters are selected for the target object from the candidate 3D image parameters determined for the target object based on the 2D image parameters. A 3D detection result of the target object is determined based on the target 3D image parameters.
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Patent Agency Ranking
公开(公告)号：US20210374415A1
公开(公告)日：2021-12-02
申请号：US17194131
申请日：2021-03-05
Inventor： Dongliang HE , Xiao TAN , Shilei WEN , Hao SUN
Abstract: Embodiments of the present disclosure disclose a method and apparatus for identifying a video. A specific embodiment of the method includes: acquiring a predetermined number of video frames from a video to be identified to obtain a video frame sequence; performing the following processing step: importing the video frame sequence into a pre-trained video identification model to obtain a classification tag probability corresponding to the video frame sequence, wherein the classification tag probability is used to characterize a probability of identifying a corresponding tag category of the video to be identified; and setting, in response to the classification tag probability being greater than or equal to a preset identification accuracy threshold, a video tag for the video to be identified according to the classification tag probability, or else increasing the number of video frames in the video frame sequence and continuing to perform the above processing step.
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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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25.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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26.发明申请公开(公告)号：US20200372609A1
公开(公告)日：2020-11-26
申请号：US16810986
申请日：2020-03-06
Inventor： Chao LI , Dongliang HE , Xiao LIU , Yukang DING , Shilei WEN , Errui DING , Henan ZHANG , Hao SUN
IPC: G06T3/40
Abstract: A super-resolution video reconstruction method, device, apparatus and a computer-readable storage medium are provided. The method includes: extracting a hypergraph from consecutive frames of an original video; inputting a hypergraph vector of the hypergraph into a residual convolutional neural network to obtain an output result of the residual convolutional neural network; and inputting the output result of the residual convolutional neural network into a spatial upsampling network to obtain a super-resolution frame, wherein a super-resolution video of the original video is formed by multiple super-resolution frames.
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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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