METHOD, DEVICE, AND MEDIUM FOR VIDEO PROCESSING

    公开(公告)号:US20240244272A1

    公开(公告)日:2024-07-18

    申请号:US18622817

    申请日:2024-03-29

    Applicant: Bytedance Inc.

    CPC classification number: H04N19/90 H04N19/176

    Abstract: Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: obtaining a first machine learning (ML) model for processing a video, wherein the first ML model is trained based on one or more second ML models; and performing, according to the first ML model, a conversion between a current video block of the video and a bitstream of the video.

    Decoding 1D-barcodes in digital capture systems

    公开(公告)号:US11954930B2

    公开(公告)日:2024-04-09

    申请号:US17666401

    申请日:2022-02-07

    Abstract: The present disclosure relates to advanced image signal processing technology including: i) rapid localization for machine-readable indicia including, e.g., 1-D and 2-D barcodes; and ii) barcode reading and decoders. One claim recites: an image processing method comprising: obtaining 2-dimensional (2D) image data representing a 1-dimensional (1D) barcode within a first image area; generating a plurality of scanlines across the first image area; for each of the plurality of scanlines, synchronizing the scanline, including decoding an initial set of numerical digits represented by the scanline, in which said synchronizing provides a scale estimate for the scanline; using a path decoder to decode remaining numerical digits within the scanline, the path decoder decoding multiple numerical digits in groups, in which the scale estimate is adapted as the remaining numerical digits are decoded; and providing decoded numerical digits as an identifier represented by the scanline. Of course, other combinations and claims are described within the present disclosure.

    PARALLELIZED VIDEO DECODING USING A NEURAL NETWORK

    公开(公告)号:US20230283790A1

    公开(公告)日:2023-09-07

    申请号:US18016568

    申请日:2021-07-13

    CPC classification number: H04N19/436 H04N19/90

    Abstract: In a method for decoding a data stream by way of an electronic device (10) including a processor (14), and a parallelized processing unit (16) designed to perform a plurality of operations of the same type in parallel at a given time, the data stream includes a first dataset (Fet) and a second dataset (Fnn) representative of audio or video content. The decoding method includes the processor (14) processing data from the first dataset (Fet), obtaining the audio or video content by processing (E70) data from the second dataset (Fnn) using a process depending at least partially on the data from the first set (Fet) and using an artificial neural network (18) implemented by the parallelized processing unit (16).

    PROGRESSIVE LOSSLESS COMPRESSION OF IMAGE DATA

    公开(公告)号:US20190052913A1

    公开(公告)日:2019-02-14

    申请号:US15672689

    申请日:2017-08-09

    Abstract: Techniques and configurations for compression of image data in a progressive, lossless manner are disclosed. In an example, three-dimensional medical images may be compressed and decompressed with high-speed operations, through a compression technique performed on a cube (chunk) of voxels that includes generating a subsampled or filtered cube of voxels, and generating and optimizing a delta data set between the cube of voxels and the subsampled cube of voxels. This optimized delta data set is operable with a decompression technique to losslessly recreate the cube of voxels. Further, the compression technique may be progressively performed with multiple iterations, to allow multiple lower resolution versions of the images prior to loading or receiving the entire compressed data that is reconstructable in a lossless form. Use of this technique may result in dramatically reduced time to first image when visualizing 3D images and performing image data transfers.

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