公开(公告)号：US20230169391A1

公开(公告)日：2023-06-01

申请号：US17537185

申请日：2021-11-29

Applicant: Lemon Inc.

Inventor： Ming Chen ,  Xia Xiao ,  Youlong Cheng

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: Embodiments of the present disclosure relate to feature selection via an ensemble of gating layers. According to embodiments of the present disclosure, a plurality of gating layers is provided to be trained together with a machine learning model. At each update step, one of the plurality of gating layers is selected to perform gating parameter value update together with model parameter value update of the machine learning model. After the iterative update process, a set of target gating parameter values is determined from a plurality of sets of gating parameter values of the plurality of gating layers after the iterative update, and can be used to select a target subset of features to be conveyed from one layer to a next layer in the machine learning model.

公开(公告)号：US20230156157A1

公开(公告)日：2023-05-18

申请号：US17831346

申请日：2022-06-02

Applicant: Lemon Inc.

Inventor： Yuhui Zhang ,  Hongjie Dong ,  Ruchir Astavans ,  Bing Zhu ,  Yuchen Zhang ,  Ling Zhong ,  Bartosz Narkiewicz ,  Inchang Jung ,  Tiancheng Jiang ,  Jiamin Chen

IPC: H04N7/15 ,  G06Q10/10

CPC classification number: H04N7/157 ,  G06Q10/101 ,  G06Q10/103

Abstract: The present disclosure describes techniques for facilitating collaboration in a workspace. The techniques may comprise automatically displaying an avatar of a user in a representation corresponding to a first virtual room once an application starts to run on a computing device associated with the user. Display of the avatar in the representation may indicate that the user is in the first virtual room. A collaborative mode may be entered based on user input from the user. A visual element may be added to the avatar in response to entering the collaborative mode. The visual element added to the avatar may indicate that the user is available for a real-time communication with other users among the plurality of users.

公开(公告)号：US20230156056A1

公开(公告)日：2023-05-18

申请号：US17529114

申请日：2021-11-17

Applicant: Lemon Inc.

Inventor： Ray McClure ,  Nova Dando ,  Kexin Lin

IPC: H04L29/06 ,  G06F3/14

CPC classification number: H04L65/4069 ,  G06F3/1454

Abstract: Methods, systems and storage media for generating an effect configured by one or more network connected devices are disclosed. Some examples may include: receiving first effect configuration information from a first device, receiving second effect configuration information from a second device, generating at least one of a visual effect or an audio effect from the first effect configuration information or the second effect configuration information and providing the generated at least one of the at least one of the visual effect or the audio effect to the first device.

公开(公告)号：US20230139768A1

公开(公告)日：2023-05-04

申请号：US17723881

申请日：2022-04-19

Applicant: LEMON INC.

Inventor： Michael BUZINOVER ,  Shen LI ,  Chenman ZHOU ,  Xuelun FU

IPC: H04N21/431 ,  G11B27/10 ,  G11B27/34 ,  H04N21/2743

Abstract: This disclosure relates to a video processing method, a video processing apparatus, and a non-transitory computer-readable storage medium. The video processing method includes: providing an interactive interface of entering a duet mode for a user in response to a shooting request of the user; presenting a plurality of recommended duet videos to the user through a duet mode interface in response to the user's selection of the duet mode on the interactive interface; and performing a duet in response to a duet request inputted by the user based on one of the plurality of recommended duet videos.

公开(公告)号：US20230122533A1

公开(公告)日：2023-04-20

申请号：US18066973

申请日：2022-12-15

Applicant: Lemon Inc.

Inventor： Ping ZHOU ,  Kan Frankie FAN ,  Chaohong HU ,  Longxiao LI ,  Peng XU ,  Fei LIU ,  Hui ZHANG

IPC: G06F3/06

Abstract: A system and method are described to efficiently allocate memory space with low latency overhead by allocating blocks of non-volatile memory on a storage device according to a tree data structure comprising a plurality of counter sets, each counter set including one or a plurality of counters indicating numbers of unallocated blocks of memory space within the non-volatile memory.

公开(公告)号：US11582460B2

公开(公告)日：2023-02-14

申请号：US17148533

申请日：2021-01-13

Applicant: Lemon Inc.

Inventor： Yang Wang ,  Kai Zhang ,  Li Zhang ,  Yuwen He ,  Hongbin Liu

IPC: H04N19/11 ,  H04N19/176 ,  H04N19/146 ,  H04N19/132 ,  H04N19/159

Abstract: Aspects of the present disclosure provide techniques for derive one or more intra prediction modes (IPMs) from a subset of IPM candidates in order to determine a predictor to use for decoding a block of an image. In some aspects, the subset of IPM candidates may include IPMs that are less than the number of IPMs in a full set of all available IPM candidates (e.g., 67 IPMs in VVC or 35 in HEVC). In some aspects, the subset of IPM candidates may be based on a most probable mode (MPM) list that can be used to determine or signal an IPM based on IPMs previously used in decoding other blocks.

公开(公告)号：US20230035995A1

公开(公告)日：2023-02-02

申请号：US17534222

申请日：2021-11-23

Applicant: LEMON INC.

Inventor： Jingna SUN ,  Weihong ZENG ,  Peibin CHEN ,  Xu WANG ,  Shen SANG ,  Jing LIU ,  Chunpong LAI

IPC: G06N3/08

Abstract: The present disclosure relates to method, apparatus and storage medium for object attribute classification model training. There proposes a method of training a model for object attribute classification, comprising steps of: acquiring binary class attribute data related to a to-be-classified attribute on which an attribute classification task is to be performed, wherein the binary class attribute data includes data indicating whether the to-be-classified attribute is “Yes” or “No” for each of at least one class label; and pre-training the model for object attribute classification based on the binary class attribute data.

公开(公告)号：US20230034370A1

公开(公告)日：2023-02-02

申请号：US17532537

申请日：2021-11-22

Applicant: LEMON INC.

Inventor： Jingna SUN ,  Weihong ZENG ,  Peibin CHEN ,  Xu WANG ,  Chunpong LAI ,  Shen SANG ,  Jing LIU

IPC: G06K9/62 ,  G06K9/00 ,  G06F16/532

Abstract: An image processing method includes acquiring a set of image samples for training an attribute recognition model, wherein the set of image samples includes a first subset of image samples with category labels and a second subset of image samples without category labels; training a sample prediction model using the first subset of image samples, and predicting categories of the image samples in the second subset of image samples using the trained sample prediction model; determining a category distribution of the set of image samples based on the category labels of the first subset of image samples and the predicted categories of the second subset of image samples; and acquiring a new image sample if the determined category distribution does not conform to the expected category distribution, and adding the acquired new image sample to the set of image samples.

公开(公告)号：US11563957B2

公开(公告)日：2023-01-24

申请号：US17148538

申请日：2021-01-13

Applicant: Lemon Inc.

Inventor： Yang Wang ,  Kai Zhang ,  Li Zhang ,  Yuwen He ,  Hongbin Liu

IPC: H04N19/189 ,  H04N19/105 ,  H04N19/132 ,  H04N19/176 ,  H04N19/159 ,  H04N19/186

Abstract: Example implementations include a method and of video processing, comprising determining, during a conversion between a current video unit of a video and a bitstream of the video, to apply a prediction mode derivation tool to the current video unit, wherein in the prediction mode derivation tool, at least one intra prediction mode (IPM) is derived for the current video unit based on cost calculations between reconstructed samples and prediction samples of a template region related the current video unit. The implementations further include performing the conversion based on the determining.

公开(公告)号：US20230014915A1

公开(公告)日：2023-01-19

申请号：US17933755

申请日：2022-09-20

Applicant: Lemon Inc.

Inventor： Na ZHANG ,  Kai Zhang ,  Li Zhang ,  Hongbin Liu ,  Yuwen He ,  Yue Wang

IPC: H04N19/105 ,  H04N19/132 ,  H04N19/176 ,  H04N19/186 ,  H04N19/46

Abstract: Implementations of the present disclosure provide a solution for encoding and decoding motion information. In this solution, during a conversion between a current video block of a video and a bitstream of the video, a group type of a subgroup of candidates of motion information for the current video block is determined, wherein the group type indicating whether the subgroup of candidates are to be reordered. Further, a list of candidates are constructed based on the group type; and the motion information for the current video block is derived from the list of candidates.