METHOD, APPARATUS AND STORAGE MEDIUM FOR OBJECT ATTRIBUTE CLASSIFICATION MODEL TRAINING

    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.

    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.

    IMAGE PROCESSING METHOD, IMAGE PROCESSING DEVICE AND COMPUTER READABLE MEDIUM

    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.

    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.

    Signaling for decoder-side intra mode derivation

    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.

    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.

    CODING OF MOTION INFORMATION
    134.
    发明申请

    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.

    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.

    On split prediction
    135.
    发明授权

    公开(公告)号:US11558608B2

    公开(公告)日:2023-01-17

    申请号:US17512162

    申请日:2021-10-27

    Applicant: Lemon Inc.

    Abstract: A method implemented by a coding apparatus. The method includes obtaining probabilities of split types being implemented when partitioning a picture, and skipping one or more of the split types based on the probabilities obtained when a coding block is partitioned during a conversion between a video media file and a bitstream. A corresponding apparatus and non-transitory computer readable medium are also provided.

    Signaling the Purpose of Preselection

    公开(公告)号:US20230007210A1

    公开(公告)日:2023-01-05

    申请号:US17809189

    申请日:2022-06-27

    Applicant: Lemon Inc.

    Inventor: Ye-kui Wang

    Abstract: A method of processing media data. The method includes determining, for a conversion between the media data and a media data file, that a preselection element includes an indicator, wherein the indicator indicates that a purpose of the preselection element is for providing a picture-in-picture experience where a supplementary video appears to be overlaid on a target picture-in-picture region in a main video; and performing a conversion between the media data and the media data file based on the indicator. A corresponding video coding apparatus and non-transitory computer-readable recording medium are also disclosed.

    STORAGE CIRCUIT, CHIP, DATA PROCESSING METHOD, AND ELECTRONIC DEVICE

    公开(公告)号:US20230004490A1

    公开(公告)日:2023-01-05

    申请号:US17850559

    申请日:2022-06-27

    Applicant: Lemon Inc.

    Abstract: A storage circuit, a chip, a data processing method, and an electronic device are disclosed. The storage circuit includes: an input control circuit and a memory. The input control circuit is configured to: receive n input data and an input control signal; perform first data processing on the n input data based on the input control signal to obtain n intermediate data corresponding to the n input data one by one; and write the n intermediate data and a sign signal corresponding to the n input data into the memory; the memory is configured to store the n intermediate data and the sign signal; different values of the sign signal respectively represent different processing processes of the first data processing, and n is a positive integer.

    APPARATUS, METHOD, SYSTEM AND MEDIUM FOR MEASURING PULSE SIGNAL WIDTH

    公开(公告)号:US20230003781A1

    公开(公告)日:2023-01-05

    申请号:US17833884

    申请日:2022-06-06

    Applicant: Lemon Inc.

    Abstract: A apparatus, method, system and medium are provided. The apparatus includes: a buffer chain, including N first buffers connected end to end, N first AND gates with one input connected to a pulse signal and the other input connected to an output of a corresponding first buffer, and N flip-flops coupled with outputs of respective first AND gates; a path time delay adjustment circuit, with an input receiving a pulse signal, and an output connected to an input terminal of the first buffer; a control apparatus, controlling the time delay produced by the adjustment circuit to be reduced by at least one step from a preset time delay during each adjustment until an output of a Pth flip-flop flips; a measuring device measuring the pulse signal's width according to an output of each flip-flop, the time delay of each first buffer and the time delay of the adjustment circuit.

    AUTOMATICALLY AND EFFICIENTLY GENERATING SEARCH SPACES FOR NEURAL NETWORK

    公开(公告)号:US20220398450A1

    公开(公告)日:2022-12-15

    申请号:US17348246

    申请日:2021-06-15

    Applicant: Lemon Inc.

    Abstract: A super-network comprising a plurality of layers may be generated. Each layer may comprise cells with different structures. A predetermined number of cells from each layer may be selected. A plurality of cells may be generated based on selected cells using a local mutation model, wherein the local mutation model comprises a mutation window for removing redundant edges from each selected cell. Performance of the plurality of cells may be evaluated using a differentiable fitness scoring function. The operations of the generating a plurality of cells using the local mutation model, the evaluating performance of the plurality of cells using the differentiable fitness scoring function and the selecting the subset of cells based on the evaluation results may be iteratively performed until the super-network converges. A search space for each layer may be generated based on a predetermined top number of cells with largest fitness scores after the super-network converges.

    Social networking using augmented reality

    公开(公告)号:US11516618B2

    公开(公告)日:2022-11-29

    申请号:US17066818

    申请日:2020-10-09

    Applicant: Lemon Inc.

    Abstract: Systems and methods for social networking using augmented reality are disclosed. A network may receive, from a plurality of client devices, a request to connect to a server. The server may be associated with an object, such as a landmark or a product. The server may serialize an AR world including the object and content associated with the object and send, to the plurality of client devices, data indicative of the AR world. The server via network may receive, from a first client device among the plurality of client devices, an indication of user input associated with the AR world. The indication of user input may comprise text data, digital image data, or user feedback. The indication of user input may be broadcast to the plurality of client devices.

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