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    Adaptation parameter set storage in video coding
    133.
    发明授权
    Adaptation parameter set storage in video coding 有权

    公开(公告)号：US11582456B2

    公开(公告)日：2023-02-14

    申请号：US17475826

    申请日：2021-09-15

    Applicant: Lemon Inc.

    Inventor： Ye-Kui Wang

    IPC: H04N19/132 ,  H04N19/117 ,  H04N19/169 ,  H04N19/30

    Abstract: Systems, methods and apparatus for encoding or decoding a file format that stores one or more images are described. One example method includes performing a conversion between a visual media file and a bitstream of a visual media data according to a format rule, where the format rule specifies that first adaptation parameter set network abstraction layer units are disallowed from being simultaneously stored in in the visual media file in (1) any one or both of samples of video coding layer tracks or sample entries of the video coding layer tracks, and (2) samples of non-video coding layer tracks, where the video coding layer tracks are tracks containing video coding layer network abstraction layer units, and where the first adaptation parameter set network abstraction layer units includes luma mapping with chroma scaling parameters for a video stream and scaling list parameters for the video stream.

    IMAGE ATTRIBUTE CLASSIFICATION METHOD, APPARATUS, ELECTRONIC DEVICE, MEDIUM AND PROGRAM PRODUCT
    134.
    发明申请
    IMAGE ATTRIBUTE CLASSIFICATION METHOD, APPARATUS, ELECTRONIC DEVICE, MEDIUM AND PROGRAM PRODUCT 有权

    公开(公告)号：US20230036366A1

    公开(公告)日：2023-02-02

    申请号：US17538938

    申请日：2021-11-30

    Applicant: LEMON INC.

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

    IPC: G06V40/16 ,  G06V10/82 ,  G06N3/04

    Abstract: The present disclosure relates to an image attribute classification method, apparatus, electronic device, medium, and program product. The present disclosure enables inputting the image to a feature extraction network to obtain a feature map after feature extraction and N times down-sampling, wherein at least one attribute of the image occupies a second rectangular position area in the feature map after N times down-sampling; calculating a mask function of the at least one attribute of the feature map after N times down-sampling based on the second rectangular position area; obtaining a feature corresponding to the at least one attribute by dot multiplying the feature map after N times down-sampling with the mask function; and inputting the obtained feature corresponding to the at least one attribute to the corresponding attribute classifier for attribute classification.

    CONTENT MANAGEMENT IN APPLICATION
    135.
    发明申请
    CONTENT MANAGEMENT IN APPLICATION 有权

    公开(公告)号：US20230022625A1

    公开(公告)日：2023-01-26

    申请号：US17957470

    申请日：2022-09-30

    Applicant: Lemon Inc.

    Inventor： Liqun NI ,  Lingyuan KE ,  Pankesh JHAVERI ,  Haoyu JIANG ,  Yan YAN ,  Fan GAO ,  Cheng WANG ,  Junfu CHEN

    IPC: G06Q30/02

    Abstract: A method is proposed for providing a content page in an application. In the method, a media item is generated, and the media item is associated with respective resources in a resource list that is received from a resource provider. The media item is presented in the application. A content page is caused to be displayed in response to detecting an interaction event of a user of the application with the media item, the content page including respective content items for the respective resources. Therefore, the media item and the content page are generated and displayed in an automatic way for the one or more resource providers without any label work from the resource providers.

    Methods and systems for facilitating a collaborative work environment
    136.
    发明授权
    Methods and systems for facilitating a collaborative work environment 有权

    公开(公告)号：US11553011B1

    公开(公告)日：2023-01-10

    申请号：US17527066

    申请日：2021-11-15

    Applicant: Lemon Inc.

    Inventor： Yuhui Zhang

    IPC: H04L65/1069 ,  H04L65/1076 ,  H04L65/403 ,  G06Q10/10

    Abstract: The present disclosure describes techniques for facilitating a collaborative work environment. The techniques comprise receiving a request from a first client computing device associated with a first user in the plurality of users to establish a communication with a second user in the plurality of users, the request specifying information associated with the communication; generating and transmitting data to a second client computing device associated with the second user for display of a user interface on the second client computing device, wherein the user interface indicates an invite of communication from the first user, and the user interface comprises information about the first user, the information associated with the communication, and selectable interface elements for accepting or declining the invite; and in response to receiving an indication of acceptance by the second user, establishing a communication channel between the first user and the second user.

    Parameter Update of Neural Network-Based Filtering
    139.
    发明申请
    Parameter Update of Neural Network-Based Filtering 有权

    公开(公告)号：US20220394288A1

    公开(公告)日：2022-12-08

    申请号：US17745323

    申请日：2022-05-16

    Applicant: Lemon Inc.

    Inventor： Yue Li ,  Li Zhang ,  Kai Zhang

    IPC: H04N19/463 ,  H04N19/117 ,  H04N19/42 ,  H04N7/01 ,  H04N19/31 ,  H04N19/187 ,  H04N19/82

    Abstract: A method of processing video data including determining, for a conversion between a video and a bitstream of the video, that the bitstream includes an indicator. The indicator indicates that a first parameter set for a neural network (NN) filter model includes different filter parameters than a second parameter set for the NN filter model. The method further includes performing the conversion based on the indicator. A corresponding video coding apparatus and non-transitory computer readable medium are also disclosed.

    HIGH-RESOLUTION PORTRAIT STYLIZATION FRAMEWORKS USING A HIERARCHICAL VARIATIONAL ENCODER
    140.
    发明申请
    HIGH-RESOLUTION PORTRAIT STYLIZATION FRAMEWORKS USING A HIERARCHICAL VARIATIONAL ENCODER 有权

    公开(公告)号：US20220375024A1

    公开(公告)日：2022-11-24

    申请号：US17321384

    申请日：2021-05-14

    Applicant: Lemon Inc.

    Inventor： Linjie LUO ,  Guoxian SONG ,  Jing LIU ,  Wanchun MA

    IPC: G06T3/00 ,  G06T11/00 ,  G06T5/00 ,  G06K9/62 ,  G06N3/04 ,  G06N3/08

    Abstract: Systems and method directed to an inversion-consistent transfer learning framework for generating portrait stylization using only limited exemplars. In examples, an input image is received and encoded using a variational autoencoder to generate a latent vector. The latent vector may be provided to a generative adversarial network (GAN) generator to generate a stylized image. In examples, the variational autoencoder is trained using a plurality of images while keeping the weights of a pre-trained GAN generator fixed, where the pre-trained GAN generator acts as a decoder for the encoder. In other examples, a multi-path attribute aware generator is trained using a plurality of exemplar images and learning transfer using the pre-trained GAN generator.

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