METHOD, APPARATUS, AND MEDIUM FOR POINT CLOUD CODING

    公开(公告)号:US20250142121A1

    公开(公告)日:2025-05-01

    申请号:US19009860

    申请日:2025-01-03

    Abstract: Embodiments of the present disclosure provide a solution for point cloud coding. A method for point cloud coding is proposed. The method comprises: obtaining, for a conversion between a current point cloud (PC) sample of a point cloud sequence and a bitstream of the point cloud sequence, target information regarding whether an attribute inter prediction is enabled for the current PC sample, the target information being determined based on at least one of rate information or distortion information associated with coding at least one target PC sample with the attribute inter prediction, wherein the at least one target PC sample comprises at least one of: the current PC sample, or at least one PC sample of the point cloud sequence coded before the current PC sample; and performing the conversion based on the target information.

    METHOD, APPARATUS, AND MEDIUM FOR VIDEO PROCESSING

    公开(公告)号:US20250142081A1

    公开(公告)日:2025-05-01

    申请号:US19009847

    申请日:2025-01-03

    Applicant: Bytedance Inc.

    Abstract: Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: obtaining, for a conversion between a current video block of a video and a bitstream of the video, values for a set of adjusting parameters associated with values for a set of model parameters of a local illumination compensation (LIC) model for coding the current video block; updating the values for the set of model parameters based on the values for the set of adjusting parameters; and performing the conversion based on the updated values for the set of model parameters.

    MACHINE LEARNING SYSTEMS ARCHITECTURES FOR RANKING

    公开(公告)号:US20250124038A1

    公开(公告)日:2025-04-17

    申请号:US18925438

    申请日:2024-10-24

    Applicant: Bytedance Inc.

    Abstract: Computing systems, computing apparatuses, computing methods, and computer program products are disclosed for machine learning ranking. An example computing method includes receiving a search query and determining a plurality of machine learning model execution engines based on the search query and a plurality of search result types. The example computing method further includes generating a plurality of subsets of search results based on the search query and the plurality of machine learning model execution engines. The example computing method further includes generating a set of search results comprising at least one search result from each of the plurality of subsets of search results.

    Hybrid data integration platform
    9.
    发明授权

    公开(公告)号:US12271353B2

    公开(公告)日:2025-04-08

    申请号:US17809606

    申请日:2022-06-29

    Applicant: Bytedance Inc.

    Abstract: In general, embodiments of the present invention provide systems and computer readable media for implementing a single data integration platform that supports multiple data access interfaces to a single corpus of stored dynamic data collected from multiple data sources. In embodiments, the data integration platform includes a record tables layer that stores a group of data records and supports a CRUD interface for accessing the data records; a resolution mapping layer that stores a set of entities generated by a many-to-one mapping of data records to entities using entity resolution; and an entities layer that stores resolved entities which may be accessed via either a search interface based on search criteria or a hybrid search interface that supports “get via record id” queries.

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