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公开(公告)号：US11706505B1
公开(公告)日：2023-07-18
申请号：US17816911
申请日：2022-08-02
Applicant: LEMON INC.
Inventor： Yufei Wang , Xiaojie Li , Longyin Wen , Xinyao Wang , Guang Chen , Ye Yuan
IPC: H04N7/16 , H04N21/8549
CPC classification number: H04N21/8549
Abstract: Provided are a processing method, a terminal device, and a medium. The method includes the steps described below. Basic information of a target video is determined; attribute information of the target video is determined based on the basic information; in a case where the attribute information indicates that the target video is a video capable of being structured, chapter division is performed on the target video based on the basic information to obtain at least two video clips; and chapter description information of the at least two video clips, a key frame of the at least two video clips and video description information of the target video are determined.
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2.发明授权公开(公告)号：US11699463B1
公开(公告)日：2023-07-11
申请号：US17816890
申请日：2022-08-02
Applicant: LEMON INC.
Inventor： Xinyao Wang , Yufei Wang , Longyin Wen
IPC: G11B27/031 , G06V20/40 , G06F40/20
CPC classification number: G11B27/031 , G06F40/20 , G06V20/46 , G06V20/49
Abstract: Provided are a video processing method and apparatus, an electronic device, and a medium. The method includes that a candidate slice information set of an original video is determined based on video information of the original video, the original video is segmented into a plurality of video segments based on each piece of candidate slice information in the candidate slice information set, the plurality of video segments is input into an evaluation model to determine a piece of probability information of each piece of candidate slice information, and target slice information of the original video is determined based on the piece of probability information corresponding to each piece of candidate slice information.
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公开(公告)号：US11792494B1
公开(公告)日：2023-10-17
申请号：US17816968
申请日：2022-08-02
Applicant: LEMON INC.
Inventor： Guang Chen , Longyin Wen , Yufei Wang
IPC: H04N21/8405 , H04N21/8549
CPC classification number: H04N21/8405 , H04N21/8549
Abstract: Provided are a processing method and apparatus, an electronic device and a medium. The method includes steps described below. A target video is acquired; video information of the target video is determined; copy information corresponding to the video information is generated by using a video description model, where the copy information is generated by using the video description model and based on a task prompt and a copy keyword. Through this method, the video description model is constrained based on the task prompt and the copy keyword, so that the copy information of the target video is generated more accurately, and the coupling degree between the copy information and the target video is improved.
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公开(公告)号：US20230328336A1
公开(公告)日：2023-10-12
申请号：US17816968
申请日：2022-08-02
Applicant: LEMON INC.
Inventor： Guang Chen , Longyin Wen , Yufei Wang
IPC: H04N21/8405 , H04N21/8549
CPC classification number: H04N21/8405 , H04N21/8549
Abstract: Provided are a processing method and apparatus, an electronic device and a medium. The method includes steps described below. A target video is acquired; video information of the target video is determined; copy information corresponding to the video information is generated by using a video description model, where the copy information is generated by using the video description model and based on a task prompt and a copy keyword. Through this method, the video description model is constrained based on the task prompt and the copy keyword, so that the copy information of the target video is generated more accurately, and the coupling degree between the copy information and the target video is improved.
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Patent Agency Ranking
公开(公告)号：US11676385B1
公开(公告)日：2023-06-13
申请号：US17816990
申请日：2022-08-02
Applicant: LEMON INC.
Inventor： Ye Yuan , Yufei Wang , Longyin Wen
CPC classification number: G06V20/46 , G06V10/462 , G06V20/635
Abstract: A target video and video description information corresponding to the target video are acquired; salient object information of the target video is determined; a key frame category of the video description information is determined; and the target video, the video description information, the salient object information and the key frame category are input into a processing model to obtain a timestamp of an image corresponding to the video description information in the target video.
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公开(公告)号：US11501447B2
公开(公告)日：2022-11-15
申请号：US17192599
申请日：2021-03-04
Applicant: Lemon Inc.
Inventor： Linjie Yang , Ziyu Jiang , Ding Liu , Longyin Wen
Abstract: Systems and method directed to performing video object segmentation are provided. In examples, video data representing a sequence of image frames and video data representing an object mask may be received at a video object segmentation server. Image features may be generated based on a first image frame of the sequence of image frames, image features may be generated based on a second image frame of the sequence of image frames; and object features may be generated based on the object mask. A transform matrix may be computed based on the image features of the first image frame and image features of the second image frame; the transform matrix may be applied to the object features resulting in transformed object features. A predicted object mask associated with the second image frame may be obtained by decoding the transformed object features.
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公开(公告)号：US20250014606A1
公开(公告)日：2025-01-09
申请号：US18346695
申请日：2023-07-03
Applicant: Lemon Inc.
Inventor： Kin Chung Wong , Fan Chen , Xiu Pei , Yujie Li , Cheng Li , Chenman Zhou , Siqi Tan , Longyin Wen , Xiaohui Shen
IPC: G11B27/031 , G06F40/20
Abstract: A computing system for video content creation executes a chat application to cause the processor to, in a chat conversation with a user in real-time, receive communication including a command from the user for interacting with a video content, use the large language model to analyze the command and generate a natural language response and a recommended action to implement on the video content based at least on the analyzed command, and implement the recommended action on the video content based at least on the analyzed command.
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公开(公告)号：US20240289312A1
公开(公告)日：2024-08-29
申请号：US18572606
申请日：2022-06-21
Applicant: LEMON INC.
Inventor： Longyin Wen , Xinyao Wang , Dexiang Hong , Congcong Li
IPC: G06F16/22
CPC classification number: G06F16/2228
Abstract: Methods, apparatuses and electronic devices for information segmentation. The method includes, for a target information node in an information sequence and based on first node information of the target information node, determine a first demarcation point probability value, in which the first demarcation point probability value indicates a probability that the target information node is a first type of demarcation point; determine, based on the first demarcation point probability value and second node information of the target information node, a second demarcation point probability value, in which the second demarcation point probability value indicates a probability that the information node is a second type of demarcation point, and the first type of demarcation point is associated with the second type of demarcation point; and determines, based on the first and the second demarcation point probability value, at least two segmentation modes for the information sequence.
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公开(公告)号：US20220284590A1
公开(公告)日：2022-09-08
申请号：US17192599
申请日：2021-03-04
Applicant: Lemon Inc.
Inventor： Linjie Yang , Ziyu Jiang , Ding Liu , Longyin Wen
Abstract: Systems and method directed to performing video object segmentation are provided. In examples, video data representing a sequence of image frames and video data representing an object mask may be received at a video object segmentation server. Image features may be generated based on a first image frame of the sequence of image frames, image features may be generated based on a second image frame of the sequence of image frames; and object features may be generated based on the object mask. A transform matrix may be computed based on the image features of the first image frame and image features of the second image frame; the transform matrix may be applied to the object features resulting in transformed object features. A predicted object mask associated with the second image frame may be obtained by decoding the transformed object features.
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