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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.
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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6.
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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公开(公告)号:US20210383120A1
公开(公告)日:2021-12-09
申请号:US17116578
申请日:2020-12-09
Inventor: Zhichao ZHOU , Dongliang HE , Fu LI , Hao SUN
Abstract: The present disclosure provides a method and apparatus for detecting a region of interest in a video, a device and a storage medium. The method may include: acquiring a current to-be-processed frame from a picture frame sequence of a video; detecting a region of interest (ROI) in the current to-be-processed frame, in response to determining that the current to-be-processed frame is a detection picture frame, to determine at least one ROI in the current to-be-processed frame; and updating a to-be-tracked ROI, based on the ROI in the current to-be-processed frame and a tracking result determined by a pre-order tracking picture frame; and tracking the current to-be-processed frame based on the existing to-be-tracked ROI, in response to determining that the current to-be-processed frame is a tracking picture frame, to determine at least one tracking result as the ROI of the current to-be-processed frame.
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公开(公告)号:US20210360252A1
公开(公告)日:2021-11-18
申请号:US17125370
申请日:2020-12-17
Inventor: Chao LI , Yukang DING , Dongliang HE , Fu LI , Hao SUN , Shilei WEN , Hongwu ZHANG , Errui DING
IPC: H04N19/132 , H04N19/172 , G06N3/04 , G06K9/62
Abstract: A method for video frame interpolation, a related electronic device and a storage medium is disclosed. A video is obtained. An (i−1)th frame and an ith frame of the video are obtained. Visual semantic feature maps and depth maps of the (i−1)th frame and the ith frame are obtained. Frame interpolation information is obtained based on the visual semantic feature maps and the depth maps. An interpolated frame between the (i−1)th frame and the ith frame is generated based on the frame interpolation information and the (i−1)th frame and is inserted between the (i−1)th frame and the ith frame.
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公开(公告)号:US20210304413A1
公开(公告)日:2021-09-30
申请号:US17344917
申请日:2021-06-10
Inventor: Hao SUN , Fu LI , Tianwei LIN , Dongliang HE
Abstract: An image processing method, an image processing device and an electronic device, all relate to computer vision and deep learning. The image processing method includes: acquiring a first image and a second image; performing semantic region segmentation on the first image and the second image to acquire a first segmentation image and a second segmentation image respectively; determining an association matrix between the first segmentation image and the second segmentation image; and processing the first image in accordance with the association matrix to acquire a target image.
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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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