公开(公告)号：US20240378022A1

公开(公告)日：2024-11-14

申请号：US18654380

申请日：2024-05-03

Applicant: Beijing Youzhuju Network Technology Co., Ltd. ,  Lemon Inc.

Inventor： Zhilin XU ,  Longfei BAI ,  Qi CHEN ,  Yimin Chen ,  Shan Lu ,  Jian Wang

IPC: G06F7/78 ,  G06F9/30 ,  G06F17/16

Abstract: A data conversion method and apparatus, an electronic device and a storage medium for converting dimensions of a first data combination. The data conversion method includes: reading n elements in the first data combination according to a first-dimension direction to obtain a first processing group, a first element to an n-th element in the first processing group are arranged according to the first-dimension direction, and n is a positive integer; performing a transpose on the first dimension and the third dimension of the first processing group to obtain a second processing group, a first element to an n-th element in the second processing group are arranged in a third-dimension direction; and writing the first element to the n-th element in the second processing group to a first storage.

公开(公告)号：US20240361892A1

公开(公告)日：2024-10-31

申请号：US18644431

申请日：2024-04-24

Applicant: Lemon Inc.

Inventor： Linyi ZHENG ,  Xiaotong MA ,  Xinyu ZHANG ,  Yujie LI ,  Siqi TAN ,  Qilin CHEN

IPC: G06F3/04845 ,  G06F3/0488

CPC classification number: G06F3/04845 ,  G06F3/0488 ,  G06F2203/04806

Abstract: The present disclosure relates to a display method and a display apparatus for image-text content, a storage medium, and a computer program product. The display method for image-text content includes: displaying image-text content in a feed, where the image-text content comprises an image and a truncated text; receiving an operation performed by a user on the image of the image-text content; and displaying a detail page of the image-text content in response to the operation performed by the user on the image of the image-text content being a specified operation, the detail page comprising the image and a full text.

公开(公告)号：US20240354368A1

公开(公告)日：2024-10-24

申请号：US18643872

申请日：2024-04-23

Applicant: Beijing Youzhuju Network Technology Co., Ltd. ,  Lemon Inc.

Inventor： Longfei BAI ,  Qi CHEN ,  Zhitao YANG ,  Zhilin XU ,  Yimin CHEN ,  Shan LU ,  Jian WANG

IPC: G06F17/16

CPC classification number: G06F17/16

Abstract: A method and a system for performing a matrix multiplication operator using a unit supporting convolution operator operation, an electronic device, and a non-transitory storage medium are provided. The method includes: transforming a first matrix of the matrix multiplication operator to an input data matrix of a convolution operator; transforming a second matrix of the matrix multiplication operator to a weight matrix of the convolution operator, matrix multiplication being performed on the first matrix and the second matrix; and performing a convolution operation on the input data matrix and the weight matrix, which are obtained through transforming, of the convolution operator using the unit supporting convolution operator operation to obtain an operation result of the matrix multiplication operator.

公开(公告)号：US20240348846A1

公开(公告)日：2024-10-17

申请号：US18757292

申请日：2024-06-27

Applicant: Lemon Inc.

Inventor： Yufan XUE ,  Jie HE ,  Ye YUAN ,  Xiaojie LI ,  Yue GAO

IPC: H04N21/2368 ,  H04N21/234 ,  H04N21/439 ,  H04N21/81

CPC classification number: H04N21/2368 ,  H04N21/23418 ,  H04N21/23424 ,  H04N21/4394 ,  H04N21/8113

Abstract: A video generating method includes acquiring video materials from an initial collection which comprises user-related videos, acquiring a target audio material serving as background music, performing image feature extraction on video frames of each video material, and performing segmentation processing according to image feature information corresponding to each video frame to acquire a target video segment corresponding to the video material, and merging the target video segment and the corresponding target audio material to generate a target video. The target video includes video segments which are obtained based on the target video segments respectively, the video segments in the target video are played in order of post time, and time lengths of the video segments are matched with time lengths of corresponding musical phrases in the target audio material.

公开(公告)号：US20240345620A1

公开(公告)日：2024-10-17

申请号：US18634421

申请日：2024-04-12

Applicant: Beijing Youzhuju Network Technology Co., Ltd. ,  Lemon Inc.

Inventor： Weifeng DONG ,  Jincai YE ,  Yuanlin CHENG ,  Pengfei LIU ,  Xinxia JIA ,  Shan LU ,  Jian WANG

IPC: G06F1/12

CPC classification number: G06F1/12

Abstract: A chip, a chip system, and a timestamp synchronization method. The chip is configured to be in communication connection to another chip, and includes a signal generating module, a first signal response module and a first delay module. The signal generating module is configured to generate a synchronization request signal and transmit the synchronization request signal to the first signal response module and the another chip, so that the another chip records a second timestamp of the another chip in response to receiving the synchronization request signal. The first delay module is configured to perform delay processing on the synchronization request signal to obtain a delayed synchronization request signal. The first signal response module is configured to record a first timestamp of the chip in response to receiving the delayed synchronization request signal, wherein the first timestamp and the second timestamp are used for performing a timestamp synchronization operation.

公开(公告)号：US12113995B2

公开(公告)日：2024-10-08

申请号：US17714024

申请日：2022-04-05

Applicant: Lemon Inc.

Inventor： Yue Li ,  Li Zhang ,  Kai Zhang

IPC: H04N19/436 ,  H04N19/124 ,  H04N19/132 ,  H04N19/157 ,  H04N19/70 ,  H04N19/82

CPC classification number: H04N19/436 ,  H04N19/124 ,  H04N19/132 ,  H04N19/157 ,  H04N19/70 ,  H04N19/82

Abstract: A method of processing video data. The method includes determining that a supplemental enhancement information (SEI) message of a bitstream includes indicators specifying one or more neural network (NN) filter model candidates or selections for a video unit or samples within the video unit, and converting between a video media file comprising the video unit and the bitstream based on the indicators. A corresponding video coding apparatus and non-transitory computer readable medium are also disclosed.

公开(公告)号：US12112573B2

公开(公告)日：2024-10-08

申请号：US17402344

申请日：2021-08-13

Applicant: Lemon Inc.

Inventor： Michael Leong Hou Tay ,  Wanchun Ma ,  Shuo Cheng ,  Chao Wang ,  Linjie Luo

IPC: G06K9/00 ,  G06F18/21 ,  G06T7/246 ,  G06T13/40 ,  G06T13/80 ,  G06V10/24 ,  G06V40/16

CPC classification number: G06V40/176 ,  G06F18/2193 ,  G06T7/251 ,  G06T13/40 ,  G06T13/80 ,  G06V10/242 ,  G06V40/171 ,  G06T2207/20084 ,  G06T2207/30201

Abstract: The present disclosure describes techniques for facial expression recognition. A first loss function may be determined based on a first set of feature vectors associated with a first set of images depicting facial expressions and a first set of labels indicative of the facial expressions. A second loss function may be determined based on a second set of feature vectors associated with a second set of images depicting asymmetric facial expressions and a second set of labels indicative of the asymmetric facial expressions. The first loss function and the second loss function may be used to determine a maximum loss function. The maximum loss function may be applied during training of a model. The trained model may be configured to predict at least one asymmetric facial expression in a subsequently received image.

公开(公告)号：US12106740B2

公开(公告)日：2024-10-01

申请号：US17502890

申请日：2021-10-15

Applicant: Lemon Inc.

Inventor： Ju-Chiang Wang ,  Jordan Smith ,  Wei Tsung Lu

IPC: G06F17/00 ,  G06N3/08 ,  G10H1/00

CPC classification number: G10H1/0008 ,  G06N3/08 ,  G10H2210/076 ,  G10H2250/311

Abstract: Devices, systems, and methods related to implementing supervised metric learning during a training of a deep neural network model are disclosed herein. In examples, audio input may be received, where the audio input includes a plurality of song fragments from a plurality of songs. For each song fragment, an aligning function may be performed to center the song fragment based on determined beat information, thereby creating a plurality of aligned song fragments. For each song fragment of the plurality of song fragments, an embedding vector may be obtained from the deep neural network. Thus, a batch of aligned song fragments from the plurality of aligned song fragments may be selected, such that a training tuple may be selected. A loss metric may be generated based on the selected training tuple and one or more weights of the deep neural network model may be updated based on the loss metric.

公开(公告)号：US20240312596A1

公开(公告)日：2024-09-19

申请号：US18605328

申请日：2024-03-14

Applicant: Beijing Zitiao Network Technology Co., Ltd. ,  LEMON INC.

Inventor： Li LI ,  Matthew BORING ,  Dongpo LI ,  Yun LIAO ,  Runchen ZHAO ,  Tianjia SUN ,  Guanqun ZHANG ,  Can JIN

IPC: G16H20/30 ,  G06N3/126 ,  G16H40/67

CPC classification number: G16H20/30 ,  G06N3/126 ,  G16H40/67

Abstract: The present disclosure provides a data processing method and device, the method includes: acquiring exercise data of a user in a preset time period and a physical parameter preset by the user, wherein the exercise data comprises exercise data of a head, a hand and a leg of the user; and inputting the exercise data and the physical parameter into a pre-trained energy determination model for processing to obtain energy consumed by the user in the preset time period.

公开(公告)号：US12095988B2

公开(公告)日：2024-09-17

申请号：US17848054

申请日：2022-06-23

Applicant: Lemon, Inc.

Inventor： Yue Li ,  Kai Zhang ,  Li Zhang

IPC: H04N19/117 ,  G06N3/04 ,  H04N19/132 ,  H04N19/176 ,  H04N19/82

CPC classification number: H04N19/117 ,  G06N3/04 ,  H04N19/132 ,  H04N19/176 ,  H04N19/82

Abstract: A method implemented by a video coding apparatus includes applying a neural network (NN) filter to an unfiltered sample of a video unit to generate a filtered sample. The NN filter is based on an NN filter model configured to obtain an attention based on a coding parameter input. The method also includes performing a conversion between a video media file and a bitstream based on the filtered sample that was generated.