公开(公告)号：US20230137905A1

公开(公告)日：2023-05-04

申请号：US18089513

申请日：2022-12-27

Applicant: Intel Corporation

Inventor： Amrutha Machireddy ,  Ranganath Krishnan ,  Nilesh Ahuja ,  Omesh Tickoo

IPC: G06N3/091

Abstract: Disclosed is an example solution to perform source-free active adaptation to distributional shifts for machine learning. The example solution includes: interface circuitry; programmable circuitry; and instructions to cause the programmable circuitry to: perform a first training of a neural network on a baseline data set associated with a first data distribution; compare data of a shifted data set to a threshold uncertainty value, wherein the threshold uncertainty value is associated with a distributional shift between the baseline data set and the shifted data set; generate a shifted data subset including items of the shifted dataset that satisfy the threshold uncertainty value; and perform a second training of the neural network based on the shifted data subset.

公开(公告)号：US11570466B2

公开(公告)日：2023-01-31

申请号：US17509246

申请日：2021-10-25

Applicant: Intel Corporation

Inventor： Yiting Liao ,  Yen-Kuang Chen ,  Shao-Wen Yang ,  Vallabhajosyula S. Somayazulu ,  Srenivas Varadarajan ,  Omesh Tickoo ,  Ibrahima J. Ndiour

IPC: H04N19/52 ,  H04N19/523 ,  H04N19/172 ,  G06V10/20 ,  G06N3/04 ,  G06K9/62

Abstract: In one embodiment, an apparatus comprises processing circuitry to: receive, via a communication interface, a compressed video stream captured by a camera, wherein the compressed video stream comprises: a first compressed frame; and a second compressed frame, wherein the second compressed frame is compressed based at least in part on the first compressed frame, and wherein the second compressed frame comprises a plurality of motion vectors; decompress the first compressed frame into a first decompressed frame; perform pixel-domain object detection to detect an object at a first position in the first decompressed frame; and perform compressed-domain object detection to detect the object at a second position in the second compressed frame, wherein the object is detected at the second position in the second compressed frame based on: the first position of the object in the first decompressed frame; and the plurality of motion vectors from the second compressed frame.

公开(公告)号：US20220324441A1

公开(公告)日：2022-10-13

申请号：US17741124

申请日：2022-05-10

Applicant: Intel Corporation

Inventor： David Gomez Gutierrez ,  Javier Felip Leon ,  Kshitij A. Doshi ,  Leobardo E. Campos Macias ,  Nilesh Amar Ahuja ,  Omesh Tickoo

IPC: B60W30/095 ,  B60W50/14 ,  G06V20/58 ,  G06V40/10

Abstract: An apparatus comprising a memory to store an observed trajectory of a pedestrian, the observed trajectory comprising a plurality of observed locations of the pedestrian over a first plurality of timesteps; and a processor to generate a predicted trajectory of the pedestrian, the predicted trajectory comprising a plurality of predicted locations of the pedestrian over the first plurality of timesteps and over a second plurality of timesteps occurring after the first plurality of timesteps; determine a likelihood of the predicted trajectory based on a comparison of the plurality of predicted locations of the pedestrian over the first plurality of timesteps and the plurality of observed locations of the pedestrian over the first plurality of timesteps; and responsive to the determined likelihood of the predicted trajectory, provide information associated with the predicted trajectory to a vehicle to warn the vehicle of a potential collision with the pedestrian.

公开(公告)号：US20210201047A1

公开(公告)日：2021-07-01

申请号：US17201969

申请日：2021-03-15

Applicant: Intel Corporation

Inventor： Myung Hwangbo ,  Krishna Kumar Singh ,  Teahyung Lee ,  Omesh Tickoo

IPC: G06K9/00 ,  G06K9/46 ,  G06K9/62 ,  G06N3/08 ,  G06N3/04

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.

公开(公告)号：US20210194674A1

公开(公告)日：2021-06-24

申请号：US16947590

申请日：2020-08-07

Applicant: Intel Corporation

Inventor： Yen-Kuang Chen ,  Shao-Wen Yang ,  Ibrahima J. Ndiour ,  Yiting Liao ,  Vallabhajosyula S. Somayazulu ,  Omesh Tickoo ,  Srenivas Varadarajan

IPC: H04L9/06 ,  G06F21/64 ,  G06F21/53 ,  G06N5/02 ,  G06K9/00 ,  G06N3/04 ,  H04L29/08 ,  G06F21/45 ,  H04L9/32 ,  H04W4/70 ,  G06F21/44 ,  G06K9/46 ,  G06K9/62 ,  G06F16/538 ,  G06F16/535 ,  G06F16/54 ,  G06F21/62 ,  G06F9/50 ,  G06N3/063 ,  G06N3/08 ,  H04N19/80 ,  G06F16/951 ,  G06K9/36 ,  H04N19/46 ,  G06T7/70 ,  G06K9/64 ,  G06K9/72

Abstract: In one embodiment, an apparatus comprises a storage device and a processor. The storage device may store a plurality of compressed images comprising one or more compressed master images and one or more compressed slave images. The processor may: identify an uncompressed image; access context information associated with the uncompressed image and the one or more compressed master images; determine, based on the context information, whether the uncompressed image is associated with a corresponding master image; upon a determination that the uncompressed image is associated with the corresponding master image, compress the uncompressed image into a corresponding compressed image with reference to the corresponding master image; upon a determination that the uncompressed image is not associated with the corresponding master image, compress the uncompressed image into the corresponding compressed image without reference to the one or more compressed master images; and store the corresponding compressed image on the storage device.

公开(公告)号：US20210109493A1

公开(公告)日：2021-04-15

申请号：US17130025

申请日：2020-12-22

Applicant: Intel Corporation

Inventor： Rajesh Poornachandran ,  Omesh Tickoo ,  Vinayak Honkote ,  John Charles Weast ,  Rita H. Wouhaybi ,  Stanley Mo

IPC: G05B19/042 ,  G05B13/02 ,  B25J19/00

Abstract: According to various aspects, a controller for an automated machine may include: one or more processors configured to: obtain a message from a further automated machine in accordance with a communication protocol, the message including a first result of a first sensing process that the further automated machine performs; and determine an assessment of the automated machine based on the first result and based on a second result of a second sensing process that the automated machine performs.

公开(公告)号：US20210081756A1

公开(公告)日：2021-03-18

申请号：US17107759

申请日：2020-11-30

Applicant: Intel Corporation

Inventor： Julio C. Zamora Esquivel ,  Jesus Adan Cruz Vargas ,  Jose Rodrigo Camacho Perez ,  Paulo Lopez Meyer ,  Hector A. Cordourier Maruri ,  Omesh Tickoo

IPC: G06N3/04 ,  G06N3/08

Abstract: An apparatus to facilitate fractional convolutional kernels is disclosed. The apparatus includes one or more processors comprising a convolution circuit of a neural network, the convolution circuit to initialize a set of parameters of a fractional convolutional kernel, the set of parameters comprising at least a fractional derivative parameter that is initialized with a fractional value, and apply the fractional convolutional kernel to input data to convolve the input data to obtain output data.

公开(公告)号：US10887614B2

公开(公告)日：2021-01-05

申请号：US16450743

申请日：2019-06-24

Applicant: Intel Corporation

Inventor： Srenivas Varadarajan ,  Omesh Tickoo ,  Vallabhajosyula Somayazulu ,  Yiting Liao ,  Ibrahima Ndiour ,  Shao-Wen Yang ,  Yen-Kuang Chen

IPC: H04N19/42 ,  H04N19/176 ,  H04N19/167 ,  H04N19/70 ,  H04N19/513 ,  H04N19/119 ,  H04N19/115 ,  H04N19/137 ,  H04N19/17

Abstract: Techniques related to applying computer vision to decompressed video are discussed. Such techniques may include generating a region of interest in an individual video frame by translating spatial indicators of a first detected computer vision result from a reference video frame to the individual video frame and applying a greater threshold within the region of interest than outside of the region of interest for computer vision evaluation in the individual frame.

公开(公告)号：US10755105B2

公开(公告)日：2020-08-25

申请号：US15662815

申请日：2017-07-28

Applicant: Intel Corporation

Inventor： Shayok Chakraborty ,  Omesh Tickoo ,  Ravishankar Iyer

IPC: H04N7/12 ,  G06K9/00 ,  G06K9/62 ,  H04N21/4223 ,  H04N21/44 ,  H04N21/845 ,  G11B27/034 ,  H04N21/8549 ,  H04N21/414 ,  G11B20/10 ,  G11B27/30

Abstract: System, apparatus, method, and computer readable media for on-the-fly captured video summarization. A video stream is incrementally summarized in concurrence with generation of the stream by a camera module. Saliency of the video stream summary is maintained as the stream evolves by updating the summary to include only the most significant frames. In one exemplary embodiment, saliency is determined by optimizing an objective function including terms that are indicative of both the diversity of a selection, and how representative the selection is to the processed portion of the video data corpus. A device platform including a CM and comporting with the exemplary architecture may provide video camera functionality at ultra-low power, and/or with ultra-low storage resources, and/or with ultra-low communication channel bandwidth.

公开(公告)号：US10740617B2

公开(公告)日：2020-08-11

申请号：US15846466

申请日：2017-12-19

Applicant: Intel Corporation

Inventor： Srenivas Varadarajan ,  Omesh Tickoo

IPC: G06K9/00 ,  H04N7/18

Abstract: A mechanism is described for facilitating protection and recovery of identities in surveillance camera environments according to one embodiment. An apparatus of embodiments, as described herein, includes detection and reception logic to receive a video stream of a scene as captured by a camera, wherein the scene includes persons. The apparatus may further include recognition and application logic to recognize an abnormal activity and one or more persons associated with the abnormal activity in a video frame of the video stream. The apparatus may further include identity recovery logic to recover one or more identities of the one or more persons in response to the abnormal activity, where the one or more identities are recovered from masked data and encrypted residuals associated with the one or more persons.