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公开(公告)号：US20180277103A1
公开(公告)日：2018-09-27
申请号：US15993332
申请日：2018-05-30
Inventor： Fuzhang WU , Binghua Qian , Wei LI , Ke LI , Yongjian Wu , Feiyue Huang
Abstract: The embodiments of the present disclosure disclose a method for constructing a speech decoding network in digital speech recognition. The method comprises acquiring training data obtained by digital speech recording, the training data comprising a plurality of speech segments, and each speech segment comprising a plurality of digital speeches; performing acoustic feature extraction on the training data to obtain a feature sequence corresponding to each speech segment; performing progressive training starting from a mono-phoneme acoustic model to obtain an acoustic model; acquiring a language model, and constructing a speech decoding network by the language model and the acoustic model obtained by training.
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公开(公告)号：US20180233151A1
公开(公告)日：2018-08-16
申请号：US15954416
申请日：2018-04-16
Inventor： Wei Li , Binghua Qian , Xingming Jin , Ke Li , Fuzhang Wu , Yongjian Wu , Feiyue Huang
Abstract: Processing circuitry of an information processing apparatus obtains a set of identity vectors that are calculated according to voice samples from speakers. The identity vectors are classified into speaker classes respectively corresponding to the speakers. The processing circuitry selects, from the identity vectors, first subsets of interclass neighboring identity vectors respectively corresponding to the identity vectors and second subsets of intraclass neighboring identity vectors respectively corresponding to the identity vectors. The processing circuitry determines an interclass difference based on the first subsets of interclass neighboring identity vectors and the corresponding identity vectors; and determines an intraclass difference based on the second subsets of intraclass neighboring identify vectors and the corresponding identity vectors. Further, the processing circuitry determines a set of basis vectors to maximize a projection of the interclass difference on the basis vectors and to minimize a projection of the intraclass difference on the basis vectors.
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23.发明申请公开(公告)号：US20140108966A1
公开(公告)日：2014-04-17
申请号：US14140809
申请日：2013-12-26
Inventor： Feiyue Huang
IPC: H04L29/06 , G06F3/0484
CPC classification number: H04L65/403 , G06F3/04845 , H04L67/2833 , H04L67/325
Abstract: The present disclosure is applicable to an information processing field. A method and system for sharing an image-editing action are provided. In the method, a sharing platform receives and stores image-editing action information from each transmitting party, a requesting party transmits an image-editing action information sharing request to the sharing platform, the sharing platform searches for the image-editing action information corresponding to the sharing request, and transmits the image-editing action information searched out to the requesting party, and the requesting party edits a selected image using the image-editing action information returned by the sharing platform. According to the disclosure, the image-editing action information can be directly invoked or shared, thus effectively reducing repetitive image-editing operations for users and improving image-editing efficiency.
Abstract translation: 本公开可应用于信息处理领域。 提供了一种用于共享图像编辑动作的方法和系统。 在该方法中，共享平台从每个发送方接收并存储图像编辑动作信息，请求方向共享平台发送图像编辑动作信息共享请求，共享平台搜索与图像编辑动作信息对应的图像编辑动作信息 共享请求，并将搜索到的图像编辑动作信息发送到请求方，并且请求方使用共享平台返回的图像编辑动作信息来编辑所选择的图像。 根据本公开，可以直接调用或共享图像编辑动作信息，从而有效地减少对用户的重复的图像编辑操作并提高图像编辑效率。
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公开(公告)号：US12197640B2
公开(公告)日：2025-01-14
申请号：US17977646
申请日：2022-10-31
Inventor： Keke He , Zhengkai Jiang , Jinlong Peng , Yang Yi , Xiaoming Yu , Juanhui Tu , Yi Zhou , Yabiao Wang , Ying Tai , Chengjie Wang , Jilin Li , Feiyue Huang
Abstract: An image gaze correction method, apparatus, electronic device, computer-readable storage medium, and computer program product related to the field of artificial intelligence technologies are provided. The image gaze correction method includes: acquiring an eye image from an image; performing feature extraction processing on the eye image to obtain feature information of the eye image; performing, based on the feature information and a target gaze direction, gaze correction processing on the eye image to obtain an initially corrected eye image and an eye contour mask; performing, by using the eye contour mask, adjustment processing on the initially corrected eye image to obtain a corrected eye image; and generating a gaze corrected image based on the corrected eye image.
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公开(公告)号：US11928893B2
公开(公告)日：2024-03-12
申请号：US17530428
申请日：2021-11-18
Inventor： Donghao Luo , Yabiao Wang , Chenyang Guo , Boyuan Deng , Chengjie Wang , Jilin Li , Feiyue Huang , Yongjian Wu
IPC: G06V20/40 , G06F18/213 , G06T7/246 , G06V40/20 , G06N3/02
CPC classification number: G06V40/20 , G06F18/213 , G06T7/246 , G06N3/02 , G06T2207/20081
Abstract: An action recognition method includes: obtaining original feature submaps of each of temporal frames on a plurality of convolutional channels by using a multi-channel convolutional layer; calculating, by using each of the temporal frames as a target temporal frame, motion information weights of the target temporal frame on the convolutional channels according to original feature submaps of the target temporal frame and original feature submaps of a next temporal frame, and obtaining motion information feature maps of the target temporal frame on the convolutional channels according to the motion information weights; performing temporal convolution on the motion information feature maps of the target temporal frame to obtain temporal motion feature maps of the target temporal frame; and recognizing an action type of a moving object in image data of the target temporal frame according to the temporal motion feature maps of the target temporal frame on the convolutional channels.
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Patent Agency Ranking
公开(公告)号：US11436739B2
公开(公告)日：2022-09-06
申请号：US16922196
申请日：2020-07-07
Inventor： Yabiao Wang , Yanhao Ge , Zhenye Gan , Yuan Huang , Changyou Deng , Yafeng Zhao , Feiyue Huang , Yongjian Wu , Xiaoming Huang , Xiaolong Liang , Chengjie Wang , Jilin Li
Abstract: This present disclosure describes a video image processing method and apparatus, a computer-readable medium and an electronic device, relating to the field of image processing technologies. The method includes determining, by a device, a target-object region in a current frame in a video. The device includes a memory storing instructions and a processor in communication with the memory. The method also includes determining, by the device, a target-object tracking image in a next frame and corresponding to the target-object region; and sequentially performing, by the device, a plurality of sets of convolution processing on the target-object tracking image to determine a target-object region in the next frame. A quantity of convolutions of a first set of convolution processing in the plurality of sets of convolution processing is less than a quantity of convolutions of any other set of convolution processing.
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公开(公告)号：US10713532B2
公开(公告)日：2020-07-14
申请号：US15925028
申请日：2018-03-19
Inventor： Shouhong Ding , Jilin Li , Chengjie Wang , Feiyue Huang , Yongjian Wu , Guofu Tan
Abstract: The present disclosure discloses an image recognition method and apparatus, and belongs to the field of computer technologies. The method includes: extracting a local binary pattern (LBP) feature vector of a target image; calculating a high-dimensional feature vector of the target image according to the LBP feature vector; obtaining a training matrix, the training matrix being a matrix obtained by training images in an image library by using a joint Bayesian algorithm; and recognizing the target image according to the high-dimensional feature vector of the target image and the training matrix. The image recognition method and apparatus according to the present disclosure may combine LBP algorithm with a joint Bayesian algorithm to perform recognition, thereby improving the accuracy of image recognition.
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公开(公告)号：US10432624B2
公开(公告)日：2019-10-01
申请号：US15632143
申请日：2017-06-23
Inventor： Feiyue Huang , Jilin Li , Guofu Tan , Xiaoli Jiang , Dan Wu , Junwu Chen , Jianguo Xie , Wei Guo , Yihui Liu , Jiandong Xie
Abstract: An identity verification method performed at a terminal includes: displaying and/or playing in an audio form action guide information selected from a preset action guide information library, and collecting a corresponding set of action images within a preset time window; performing matching detection on the collected set of action images and the action guide information, to obtain a living body detection result indicating whether a living body exists in the collected set of action images; according to the living body detection result that indicates that a living body exists in the collected set of action images: collecting user identity information and performing verification according to the collected user identity information, to obtain a user identity information verification result; and determining the identity verification result according to the user identity information verification result.
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公开(公告)号：US10055879B2
公开(公告)日：2018-08-21
申请号：US15652009
申请日：2017-07-17
Inventor： Chengjie Wang , Jilin Li , Feiyue Huang , Lei Zhang
CPC classification number: G06T15/10 , G06K9/00214 , G06K9/00281 , G06T7/73 , G06T15/04 , G06T19/20 , G06T2207/30201 , G06T2210/44 , G06T2215/16 , G06T2219/2021
Abstract: A 3D human face reconstruction method and apparatus, and a server are provided. In some embodiments, the method includes determining feature points on an acquired 2D human face image; determining posture parameters of a human face according to the feature points, and adjusting a posture of a universal 3D human face model according to the posture parameters; determining points on the universal 3D human face model corresponding to the feature points, and adjusting the corresponding points in a sheltered status to obtain a preliminary 3D human face model; and performing deformation adjusting on the preliminary 3D human face model, and performing texture mapping on the deformed 3D human face model to obtain a final 3D human face.
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公开(公告)号：US20180204094A1
公开(公告)日：2018-07-19
申请号：US15925028
申请日：2018-03-19
Inventor： Shouhong Ding , Jilin Li , Chengjie Wang , Feiyue Huang , Yongjian Wu , Guofu Tan
Abstract: The present disclosure discloses an image recognition method and apparatus, and belongs to the field of computer technologies. The method includes: extracting a local binary pattern (LBP) feature vector of a target image; calculating a high-dimensional feature vector of the target image according to the LBP feature vector; obtaining a training matrix, the training matrix being a matrix obtained by training images in an image library by using a joint Bayesian algorithm; and recognizing the target image according to the high-dimensional feature vector of the target image and the training matrix. The image recognition method and apparatus according to the present disclosure may combine LBP algorithm with a joint Bayesian algorithm to perform recognition, thereby improving the accuracy of image recognition.
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