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公开(公告)号：US11715497B2
公开(公告)日：2023-08-01
申请号：US17314231
申请日：2021-05-07
Inventor： Xiao Long Zhu , Shenghui Huang , Lijian Mei , Wei Dong Chen , Shao Bin Lin , Yi Tong Wang , Xing Ji , Jie Fan , Min Luo , Wanyu Huang , Yuan Fang , Ren Jian Chen
Abstract: A video editing method, apparatus and storage medium are provided. The method includes obtaining an object, the object including one or more images; determining a content element of the object for video editing, the content element having a content type identifier; determining a material set identifier corresponding to the content type identifier according to a first behavior tree logic; determining a video editing material set corresponding to the material set identifier; and obtaining an edited video according to the content element and the video editing material set.
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12.发明授权公开(公告)号：US11158304B2
公开(公告)日：2021-10-26
申请号：US16655548
申请日：2019-10-17
Inventor： Lianwu Chen , Meng Yu , Min Luo , Dan Su
Abstract: Embodiments of the present invention provide a speech signal processing model training method, an electronic device and a storage medium. The embodiments of the present invention determines a target training loss function based on a training loss function of each of one or more speech signal processing tasks; inputs a task input feature of each speech signal processing task into a starting multi-task neural network, and updates model parameters of a shared layer and each of one or more task layers of the starting multi-task neural network corresponding to the one or more speech signal processing tasks by minimizing the target training loss function as a training objective, until the starting multi-task neural network converges, to obtain a speech signal processing model.
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13.发明申请公开(公告)号：US20210271321A1
公开(公告)日：2021-09-02
申请号：US17323827
申请日：2021-05-18
Inventor： Zheng ZHOU , Xing Ji , Yitong Wang , Xiaolong Zhu , Min Luo
Abstract: This application discloses a method for training a gaze tracking model, including: obtaining a training sample set; processing the eye sample images in the training sample set by using an initial gaze tracking model to obtain a predicted gaze vector of each eye sample image; determining a model loss according to a cosine distance between the predicted gaze vector and the labeled gaze vector for each eye sample image; and iteratively adjusting one or more reference parameters of the initial gaze tracking model until the model loss meets a convergence condition, to obtain a target gaze tracking model. According to the solution provided in this application, a gaze tracking procedure is simplified, a difference between a predicted value and a labeled value can be better represented by using the cosine distance as a model loss to train a model, to improve prediction accuracy of the gaze tracking model.
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公开(公告)号：US20210264952A1
公开(公告)日：2021-08-26
申请号：US17314231
申请日：2021-05-07
Inventor： Xiao Long ZHU , Shenghui Huang , Lijian Mei , Wei Dong Chen , Shao Bin Lin , Yi Tong Wang , Xing Ji , Jie Fan , Min Luo , Wanyu Huang , Yuan Fang , Ren Jian Chen
Abstract: A video editing method, apparatus and storage medium are provided. The method includes obtaining an object, the object including one or more images; determining a content element of the object for video editing, the content element having a content type identifier; determining a material set identifier corresponding to the content type identifier according to a first behavior tree logic; determining a video editing material set corresponding to the material set identifier; and obtaining an edited video according to the content element and the video editing material set.
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