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公开(公告)号：US20190007678A1
公开(公告)日：2019-01-03
申请号：US15640198
申请日：2017-06-30
Applicant: INTEL CORPORATION
Inventor： Javier Perez-Ramirez , Srenivas Varadarajan , Yiting Liao , Vallabhajosyula S. Somayazulu , Omesh Tickoo , Ibrahima J. Ndiour
IPC: H04N19/109 , H04N19/167 , H04N19/172
CPC classification number: H04N19/109 , H04N19/126 , H04N19/167 , H04N19/172
Abstract: An example apparatus for encoding video frames includes a receiver to receive events from a dynamic vision sensor and a video frame from an image sensor. The apparatus also includes a heat map generator to generate a heat map based on the received events. The apparatus further includes a region of interest (ROI) map generator generate a ROI map based on the heat map. The apparatus includes a parameter adjuster to adjust an encoding parameter based on the ROI map. The apparatus also further includes a video encoder to encode the video frame using the adjusted parameter.
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公开(公告)号：US10074205B2
公开(公告)日：2018-09-11
申请号：US15252126
申请日：2016-08-30
Applicant: Intel Corporation
Inventor： Glen J. Anderson , David I. Poisner , Ravishankar Iyer , Mark Francis , Michael E. Kounavis , Omesh Tickoo
CPC classification number: G06T13/20 , A63F13/52 , A63F13/60 , G06T7/344 , G06T7/55 , G06T7/75 , G06T7/97 , G06T2207/10016 , G06T2213/08
Abstract: Methods, apparatus, and systems to create, output, and use animation programs comprising keyframes, objects, object states, and programming elements. Objects, object states, and programming elements may be created through image analysis of image input. Animation programs may be output as videos, as non-linear interactive experiences, and/or may be used to control electronic actuators in articulated armatures.
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公开(公告)号：US20180165539A1
公开(公告)日：2018-06-14
申请号：US15372508
申请日：2016-12-08
Applicant: INTEL CORPORATION
Inventor： Mi Sun Park , Yeongseon Lee , Omesh Tickoo
CPC classification number: G06K9/4671
Abstract: An electronic device for visual-saliency driven scene description is described. The electronic device includes a property identifier to identify properties of a target platform. The properties include target platform device type and target platform device count. The electronic device also includes a salient region detector to detect a salient region of an input in response to the target platform device type being a graphical processing unit (GPU) and the target platform device count being above one. The electronic device further includes a description provider to provide a fine-grained scene description for the salient region.
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14.发明授权公开(公告)号：US09760794B2
公开(公告)日：2017-09-12
申请号：US14866606
申请日：2015-09-25
Applicant: INTEL CORPORATION
Inventor： Teahyung Lee , Myung Hwangbo , Tanfer Alan , Omesh Tickoo , Ravishankar Iyer
CPC classification number: G06K9/4647 , G06K9/00986 , G06K9/42 , G06K9/4609 , G06K9/4642 , G06K9/4652 , G06K9/4661 , G06K9/481 , G06K9/6212 , G06K2009/485
Abstract: Techniques for a system, article, and method of low-complexity histogram of gradients generation for image processing may include histogram of gradients generation for image processing including the following operations: obtaining image data including horizontal and vertical gradient components of individual pixels of an image; associating the horizontal and vertical gradient components of the same pixel with one of a plurality of angular channels depending on the values of the horizontal and vertical gradient components; determining a gradient magnitude and a gradient orientation of individual angular channels after the horizontal and vertical gradient components are assigned to the channels; and generating a histogram of gradients by using the gradient direction and gradient magnitude of the angular channels.
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公开(公告)号：US20160180571A1
公开(公告)日：2016-06-23
申请号：US14575742
申请日：2014-12-18
Applicant: Intel Corporation
Inventor： Glen J. Anderson , Kathy Yuen , Omesh Tickoo , Jamie Sherman , Jeffrey Ota , Ravishankar R. Iyer
Abstract: Various systems and methods for frame removal and replacement for stop-action animation are described herein. A system for creating a stop-motion video includes an access module to access a series of frames of an input video, and a processing module to determine whether each frame of the series of frames includes a portion of a hand and composite frames from the series of frames that do not include the portion of the hand to render an output video. A system for creating a video includes an access module to access an input video, and a video processing module to identify a physical object in the input video, track movement of the physical object in the input video to identify a path, identify a three-dimensional model of the physical object, and create an output video with the three-dimensional model in place of the physical object, the three-dimensional model following the path.
Abstract translation: 这里描述了用于停止动作动画的帧去除和替换的各种系统和方法。 用于创建停止运动视频的系统包括：访问输入视频的一系列帧的访问模块;以及处理模块，用于确定该系列帧的每个帧是否包括来自该系列的一部分手和合成帧 的帧不包括手的部分来渲染输出视频。 用于创建视频的系统包括访问输入视频的访问模块和用于识别输入视频中的物理对象的视频处理模块，跟踪输入视频中的物理对象的移动以识别路径， 物理对象的三维模型，并用三维模型创建输出视频来代替物理对象，三维模型跟随路径。
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Patent Agency Ranking
公开(公告)号：US12251816B2
公开(公告)日：2025-03-18
申请号：US17130030
申请日：2020-12-22
Applicant: Intel Corporation
Inventor： Rajesh Poornachandran , Omesh Tickoo , Anahit Tarkhanyan , Vinayak Honkote , Stanley Mo
IPC: B25J13/00
Abstract: According to various aspects, controller for an automated machine may include: a processor configured to: compare information about a function of the automated machine with information of a set of tasks available to a plurality of automated machines; negotiate, with the other automated machines of the plurality of automated machines and based on a result of the comparison, which task of the set of tasks is allocated to the automated machine.
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公开(公告)号：US20240420468A1
公开(公告)日：2024-12-19
申请号：US18821328
申请日：2024-08-30
Applicant: Intel Corporation
Inventor： Jiaxiang Jiang , Omesh Tickoo , Mahesh Subedar , Ibrahima Jacques Ndiour
Abstract: Methods and apparatus to detect anomalies in video data are disclosed. An example apparatus disclosed herein generates a reconstructed feature vector corresponding to an input feature vector representative of a video segment, the reconstructed feature vector based on a transformation applied to the input feature vector and an inverse of the transformation applied to an output of the transformation, the input feature vector and the reconstructed feature vector including features associated with a plurality of dimensions including a time dimension. The disclosed example apparatus also generates an error vector based on a difference between the input feature vector and the reconstructed feature vector. The disclosed example apparatus further generates an anomaly map based on sums of elements of the error vector across at least the time dimension, the anomaly map corresponding to the video segment.
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公开(公告)号：US11983625B2
公开(公告)日：2024-05-14
申请号：US16911100
申请日：2020-06-24
Applicant: Intel Corporation
Inventor： Nilesh Ahuja , Ignacio J. Alvarez , Ranganath Krishnan , Ibrahima J. Ndiour , Mahesh Subedar , Omesh Tickoo
CPC classification number: G06N3/08 , G05B13/026 , G05B13/027 , G06F18/2431 , G06F18/251 , G06N5/046 , G06N7/01
Abstract: Techniques are disclosed for using neural network architectures to estimate predictive uncertainty measures, which quantify how much trust should be placed in the deep neural network (DNN) results. The techniques include measuring reliable uncertainty scores for a neural network, which are widely used in perception and decision-making tasks in automated driving. The uncertainty measurements are made with respect to both model uncertainty and data uncertainty, and may implement Bayesian neural networks or other types of neural networks.
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19.发明公开公开(公告)号：US20240071039A1
公开(公告)日：2024-02-29
申请号：US18478628
申请日：2023-09-29
Applicant: Intel Corporation
Inventor： Nagabhushan Eswara , Jaroslaw J. Sydir , Vallabhajosyula Srinivasa Somayazulu , Nilesh Ahuja , Omesh Tickoo , Parual Datta
IPC: G06V10/44 , G06T3/00 , G06T3/40 , G06T7/20 , H04N19/172
CPC classification number: G06V10/44 , G06T3/0093 , G06T3/4007 , G06T7/20 , H04N19/172
Abstract: Methods and apparatus are disclosed herein for computation and compression efficiency in distributed video analytics. Example apparatus disclosed herein are to identify a key frame and a non-key frame in a video frame sequence input to a neural network at a client server, determine motion information between the key frame and the non-key frame based on optical flow, and determine a frame feature representation based on the motion information reconstructed at an edge server, the motion information including feature warping residual errors.
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公开(公告)号：US11861495B2
公开(公告)日：2024-01-02
申请号：US17201969
申请日：2021-03-15
Applicant: Intel Corporation
Inventor： Myung Hwangbo , Krishna Kumar Singh , Teahyung Lee , Omesh Tickoo
IPC: G06V20/40 , G06N3/08 , G06V10/40 , G06V10/82 , G06V10/764 , G06F18/2431 , G06N3/045
CPC classification number: G06N3/08 , G06F18/2431 , G06N3/045 , G06V10/40 , G06V10/764 , G06V10/82 , G06V20/41 , G06V20/47 , G06V20/49
Abstract: Example apparatus disclosed herein are to process a first image of a first video segment from the image capture sensor with a machine learning algorithm to determine a first score for the first image, the machine learning algorithm to detect actions associated with images, the actions associated with labels. Disclosed example apparatus are also to determine a second score for the first video segment based on respective first scores for corresponding images in the first video segment. Disclosed example apparatus are further to determine, based on the second score, whether to retain the first video segment in the memory.
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