SELECTIVE MOTION-COMPENSATED FRAME INTERPOLATION

    公开(公告)号:US20220321889A1

    公开(公告)日:2022-10-06

    申请号:US17219080

    申请日:2021-03-31

    Abstract: A device includes one or more processors configured to execute instructions to obtain motion data indicating estimated motion between a first frame and a second frame of an input sequence of image frames, and to identify, based on the motion data, any frame regions of the first frame that indicate motion greater than a motion threshold. The one or more processors are also configured to determine, based on the motion data, a motion metric associated with the identified frame regions, and to perform a determination, based on the motion metric and a size metric associated with the identified frame regions, whether to use motion-compensated frame interpolation to generate an intermediate frame. The one or more processors are further configured to generate the intermediate frame based on the determination, and to generate an output sequence of image frames that includes the intermediate frame between the first frame and the second frame.

    PROCESSING DATA IN PIXEL-TO-PIXEL NEURAL NETWORKS

    公开(公告)号:US20220292344A1

    公开(公告)日:2022-09-15

    申请号:US17200090

    申请日:2021-03-12

    Abstract: Technologies are provided for processing data in neural networks. An example method can include processing, by each layer of a neural network, a row in a first stripe of a data input, the row being processed sequentially in a horizontal direction and according to a layer-by-layer sequence; after processing the row, processing, by each layer, subsequent rows in the first stripe on a row-by-row basis, each subsequent row being processed sequentially in the horizontal direction and according to the layer-by-layer sequence; generating an output stripe based on the processing of the row and subsequent rows; processing, by each layer, a second stripe of the data input, each row in the second stripe being processed in the horizontal direction and according to the layer-by-layer sequence, wherein rows in the second stripe are processed on a row-by-row basis; and generating another output stripe based on the processing of the second stripe.

    SEGMENTATION MASK EXTRAPOLATION
    5.
    发明公开

    公开(公告)号:US20240087140A1

    公开(公告)日:2024-03-14

    申请号:US17931859

    申请日:2022-09-13

    CPC classification number: G06T7/215 G06T7/194 G06T2207/20081

    Abstract: Systems and techniques are described herein for processing video data. For instance, a technique can include receiving a first image after a previous image. The process can further include receiving a first segmentation mask associated with the previous image. The process can also include estimating a first set of forward motion vectors between the previous image and the first image. The process can further include estimating a reliability of the first set of forward motion vectors. The process can also include extrapolating a second segmentation mask associated with the first image using the first set of forward motion vectors and first segmentation mask based on the estimated reliability of the first set of forward motion vectors.

    SYSTEM AND METHOD TO PROCESS IMAGES OF A VIDEO STREAM

    公开(公告)号:US20220130015A1

    公开(公告)日:2022-04-28

    申请号:US17083146

    申请日:2020-10-28

    Abstract: A device includes a memory configured to store an adapted network that is configured to generate a modified image based on a single image. The device includes a processor configured to obtain, from a stream of video data, a first distorted image depicting an object, and to provide the first distorted image to the adapted network to generate a first modified image. The processor is configured to obtain, from the stream of video data, a second distorted image depicting the object, and to provide the second distorted image to the adapted network to generate a second modified image. The object is distorted differently in the second distorted image than in the first distorted image. The processor is configured to generate a video output including the first modified image and the second modified image without visible artifacts due to distortion differences between the first distorted image and the second distorted image.

    CONFIGURABLE IMAGE ENHANCEMENT
    7.
    发明申请

    公开(公告)号:US20250086756A1

    公开(公告)日:2025-03-13

    申请号:US18955769

    申请日:2024-11-21

    Abstract: A device includes a memory and one or more processors. The memory is configured to store configuration selection data associated with an image enhancer. The one or more processors are configured to decompress an encoded pre-processed image to generate a decompressed image. The pre-processed image is a downsampled version of a pre-compression image. The one or more processors are configured to predict, based on the decompressed image, an image compression quality of the decompressed image. The one or more processors are configured to process, using an image enhancement network of the image enhancer, the decompressed image to generate an output image. The image enhancer is configured based on the predicted image compression quality and the configuration selection data.

    MOTION COMPENSATION FOR NEURAL NETWORK ENHANCED IMAGES

    公开(公告)号:US20230025778A1

    公开(公告)日:2023-01-26

    申请号:US17382658

    申请日:2021-07-22

    Abstract: A device includes a memory and one or more processors. The memory is configured to store instructions. The one or more processors are configured to execute the instructions to apply a neural network to a first image to generate an enhanced image. The one or more processors are also configured to execute the instructions to adjust at least a portion of a high-frequency component of the enhanced image based on a motion compensation operation to generate an adjusted high-frequency image component. The one or more processors are further configured to execute the instructions to combine a low-frequency component of the enhanced image and the adjusted high-frequency image component to generate an adjusted enhanced image.

Patent Agency Ranking