公开(公告)号：US20210233210A1

公开(公告)日：2021-07-29

申请号：US17213489

申请日：2021-03-26

Applicant: Intel Corporation

Inventor： Noam Elron ,  Alexander Itskovich ,  Shahar S Yuval ,  Noam Levy

IPC: G06T3/40 ,  G06T5/00 ,  G06T5/50 ,  G06N3/08

Abstract: A method, system, and article is directed to real-time super-resolution image processing using neural networks.

公开(公告)号：US20200267404A1

公开(公告)日：2020-08-20

申请号：US16865708

申请日：2020-05-04

Applicant: Intel Corporation

Inventor： Noam Levy ,  Guy Ben-Artzi

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

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.

公开(公告)号：US20250005765A1

公开(公告)日：2025-01-02

申请号：US18342549

申请日：2023-06-27

Applicant: Intel Corporation

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

IPC: G06T7/194 ,  G06T3/40 ,  G06T7/11

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed to process images using segmentation. An example apparatus includes interface circuitry, machine readable instructions, and programmable circuitry to at least one of instantiate or execute the machine readable instructions to generate a scaled frame from an input video frame, segment, with a neural network, the scaled frame to generate a scaled segmentation map based on the scaled frame, the scaled segmentation map to associate pixels of the scaled frame with ones of a plurality of segments in the scaled frame, and generate an output video frame based on the input video frame and an upscaled version of the scaled segmentation map.

公开(公告)号：US20250005709A1

公开(公告)日：2025-01-02

申请号：US18882214

申请日：2024-09-11

Applicant: Intel Corporation

Inventor： Noam Elron ,  Alexander Itskovich ,  Shahar S Yuval ,  Noam Levy

IPC: G06T3/4053 ,  G06N3/08 ,  G06T3/4046 ,  G06T5/50 ,  G06T5/70

Abstract: Example methods, apparatus, systems, and articles directed to real-time super-resolution image processing using neural networks are disclosed. Example apparatus disclosed herein cause a neural network to process an input frame of input video, the input video having a first resolution, the neural network trained to upscale the input frame to a second resolution, the neural network trained to reduce a presence of one or more types of image imperfections in the input frame. Disclosed example apparatus also obtain, from the neural network, an output frame at the second resolution. Disclosed example apparatus further cause the output frame to be presented as part of an output video at the second resolution.

公开(公告)号：US20240192774A1

公开(公告)日：2024-06-13

申请号：US18584782

申请日：2024-02-22

Applicant: Intel Corporation

Inventor： Elad Sunray ,  Dmitry Rudoy ,  Noam Levy

IPC: G06F3/01 ,  G06T3/60 ,  G06T7/73 ,  G06T7/80

CPC classification number: G06F3/013 ,  G06F3/012 ,  G06T3/60 ,  G06T7/73 ,  G06T7/80 ,  G06T2207/20084 ,  G06T2207/20132 ,  G06T2207/30201

Abstract: Systems and methods for real-time, efficient, monocular gaze position determination that can be performed in real-time on a consumer-grade laptop. Gaze tracking can be used for human-computer interactions, such as window selection, user attention on screen information, gaming, augmented reality, and virtual reality. Gaze position estimation from a monocular camera involves estimating the line-of-sight of a user and intersecting the line-of-sight with a two-dimensional (2D) screen. The system uses a neural network to determine gaze position within about four degrees of accuracy while maintaining very low computational complexity. The system can be used to determine gaze position across multiple screens, determining which screen a user is viewing as well as a gaze target area on the screen. There are many different scenarios in which a gaze position estimation system can be used, including different head poses, different facial expressions, different cameras, different screens, and various illumination scenarios.

公开(公告)号：US11902559B2

公开(公告)日：2024-02-13

申请号：US16865708

申请日：2020-05-04

Applicant: Intel Corporation

Inventor： Noam Levy ,  Guy Ben-Artzi

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

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.

公开(公告)号：US20220398780A1

公开(公告)日：2022-12-15

申请号：US17845652

申请日：2022-06-21

Applicant: Intel Corporation

Inventor： Oskar Pelc ,  Dmitry Rudoy ,  Noam Levy

IPC: G06T7/80 ,  G06T7/593

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to calibrate a stereo camera. An example apparatus includes means for determining a motion grid between a first image and a second image captured by the stereo camera; means for determining a calibration value to calibrate the stereo camera based on a prior calibration value, a relative orientation between the first image and the second image based on the motion grid, and a metric indicative of calibration improvement; and means for estimating a depth based on the calibration value.

公开(公告)号：US09826149B2

公开(公告)日：2017-11-21

申请号：US14670642

申请日：2015-03-27

Applicant: Intel Corporation

Inventor： Edmond Chalom ,  Dmitry Rudoy ,  Noam Levy ,  Harish Essaky Sankaran ,  Jarno Nikkanen ,  Joni-Matti Maatta ,  German Voronov

IPC: G06K9/20 ,  G06K9/36 ,  H04N5/232 ,  G06T7/11 ,  G06K9/00

CPC classification number: H04N5/23229 ,  G06K9/00684 ,  G06T7/11 ,  G06T2207/10004 ,  G06T2207/20084 ,  H04N5/23222

Abstract: Methods, apparatuses and systems may provide for operating a machine learning device by obtaining training image data, conducting an offline prediction analysis of the training image data with respect to one or more real-time parameters of an image capture device, and generating one or more parameter detection models based on the offline prediction analysis. Additionally, methods, apparatuses and systems may provide for operating the image capture device by obtaining a candidate image associated with the image capture device, determining that the candidate image corresponds to a particular type of scene represented in a parameter prediction model, and adjusting one or more real-time parameters of the image capture device based at least in part on one or more parameter values associated with the particular type of scene.