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    MINIMAL IMAGE SIGNAL PROCESSING PIPELINE FOR AN EARLY SCENE UNDERSTANDING
    3.
    发明公开
    MINIMAL IMAGE SIGNAL PROCESSING PIPELINE FOR AN EARLY SCENE UNDERSTANDING 审中-公开

    公开(公告)号：US20240249392A1

    公开(公告)日：2024-07-25

    申请号：US18583642

    申请日：2024-02-21

    Applicant: Intel Corporation

    Inventor： Dmitry Rudoy ,  Rakefet Kol ,  Noam Elron ,  Noam Levy

    IPC: G06T5/50 ,  G06T3/40 ,  G06T5/20 ,  G06T7/10

    CPC classification number: G06T5/50 ,  G06T3/40 ,  G06T5/20 ,  G06T7/10 ,  G06T2207/20084 ,  G06T2207/20221

    Abstract: A high-level understanding of the scene captured by a camera allows for the use of scene-level understanding in the processing of the captured image. A downscaled image of a captured scene is generated and used as a basis for artificial intelligence analysis before the full image of the captured scene is processed. The downscaled image is generated concurrently with the capturing of the raw image at the image sensor and before full image signal processor (ISP) processing. Neural networks and other AI algorithms can be applied directly to the downscaled image to perform high-level understanding using minimal resources. The processing of the full scale captured image can be adapted to specific scenarios based on the understanding rather than undergoing all-purpose processing. The high-level understanding is provided to the full image processing pipe for enhancements in image quality, video conferencing, face detection, and other user experiences.

    TRAINING VIDEO SEGMENTATION MODELS USING TEMPORAL CONSISTENCY LOSS
    6.
    发明公开
    TRAINING VIDEO SEGMENTATION MODELS USING TEMPORAL CONSISTENCY LOSS 审中-公开

    公开(公告)号：US20240296665A1

    公开(公告)日：2024-09-05

    申请号：US18663296

    申请日：2024-05-14

    Applicant: Intel Corporation

    Inventor： Ido Nissenboim ,  Noam Levy ,  Alexander Itskovich

    IPC: G06V10/776 ,  G06V10/764 ,  G06V10/82 ,  G06V20/40

    CPC classification number: G06V10/776 ,  G06V10/764 ,  G06V10/82 ,  G06V20/49

    Abstract: Video segmentation predictions can be temporally unstable. Some techniques can be implemented to mitigate temporal instability, but the techniques can be computationally complex. Some techniques only account for changes in the output and do not account for changes in the input. To address some of these shortcomings, a lightweight technique can be implemented to compute a temporal consistency loss. The temporal consistency loss can be higher when a pixel-wise intensity change is small, and a pixel-wise prediction change is large. The temporal consistency loss can be lower otherwise. The temporal consistency loss can be used with one or more other losses as a part of a loss function for training a segmentation network to improve temporal stability in output segmentation maps.

    Detection of video tampering
    8.
    发明授权
    Detection of video tampering 有权

    公开(公告)号：US12294731B2

    公开(公告)日：2025-05-06

    申请号：US18412806

    申请日：2024-01-15

    Applicant: Intel Corporation

    Inventor： Noam Levy ,  Guy Ben-Artzi

    IPC: H04N19/467 ,  H04L9/06 ,  H04L9/32 ,  H04N19/176

    Abstract: Techniques are provided for generation of secure video and tamper detection of the secure video. A methodology implementing the techniques according to an embodiment includes selecting a subset of macroblocks from a video frame to be transmitted and calculating a low frequency metric on each of the selected macroblocks. The method also includes performing a hash calculation on the low frequency metrics to generate a frame signature, encrypting the frame signature (using a private key) to generate an encrypted watermark, and modifying pixels of each of the selected macroblocks to generate the secured video frame, the modifications based on bits of the encrypted watermark that are associated with the selected macroblock. The method further includes authenticating a received video frame by comparing a calculated frame signature to an authenticated frame signature, the authenticated frame signature decrypted (using a public key) from an extracted watermark of the received video frame.

    HEAD POSE ESTIMATION IN COMPUTER VISION
    9.
    发明申请
    HEAD POSE ESTIMATION IN COMPUTER VISION 有权

    公开(公告)号：US20250124596A1

    公开(公告)日：2025-04-17

    申请号：US18999871

    申请日：2024-12-23

    Applicant: Intel Corporation

    Inventor： Shahar Shmuel Yuval ,  Maxim Khokhlov ,  Noam Levy

    IPC: G06T7/73 ,  G06V40/16

    Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed to estimate a pose of a head of a user of an electronic device. An example apparatus to estimate a head pose includes at least one processor circuit to be programmed by instructions to: identify a plurality of facial landmarks in a plurality of images; identify initial image data based on the plurality of facial landmarks; augment the initial image data with a transformation operation; and train a neural network based on the initial image data and the augmented image data to: infer three-dimensional model parameters; and infer a confidence metric.

    DETECTION OF VIDEO TAMPERING
    10.
    发明公开
    DETECTION OF VIDEO TAMPERING 审中-公开

    公开(公告)号：US20240214597A1

    公开(公告)日：2024-06-27

    申请号：US18412806

    申请日：2024-01-15

    Applicant: Intel Corporation

    Inventor： Noam Levy ,  Guy Ben-Artzi

    IPC: H04N19/467 ,  H04L9/06 ,  H04L9/32 ,  H04N19/176

    CPC classification number: H04N19/467 ,  H04L9/0643 ,  H04L9/3249 ,  H04N19/176 ,  H04L2209/34 ,  H04L2209/608

    Abstract: Techniques are provided for generation of secure video and tamper detection of the secure video. A methodology implementing the techniques according to an embodiment includes selecting a subset of macroblocks from a video frame to be transmitted and calculating a low frequency metric on each of the selected macroblocks. The method also includes performing a hash calculation on the low frequency metrics to generate a frame signature, encrypting the frame signature (using a private key) to generate an encrypted watermark, and modifying pixels of each of the selected macroblocks to generate the secured video frame, the modifications based on bits of the encrypted watermark that are associated with the selected macroblock. The method further includes authenticating a received video frame by comparing a calculated frame signature to an authenticated frame signature, the authenticated frame signature decrypted (using a public key) from an extracted watermark of the received video frame.

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