公开(公告)号：US11521024B2

公开(公告)日：2022-12-06

申请号：US16948861

申请日：2020-10-02

申请人： Intel Corporation

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

IPC分类号： G06K9/62 ,  H04L9/06 ,  G06F21/64 ,  G06F21/53 ,  G06N5/02 ,  G06N3/04 ,  G06F21/45 ,  H04L9/32 ,  H04W4/70 ,  G06F21/44 ,  G06F16/538 ,  G06F16/535 ,  G06F16/54 ,  G06F21/62 ,  G06F9/50 ,  G06N3/063 ,  G06V10/20 ,  G06V10/40 ,  G06V10/75 ,  G06V10/44 ,  G06V20/00 ,  G06V40/20 ,  G06V40/16 ,  G06F9/48 ,  H04L67/51 ,  G06T7/11 ,  G06V10/96 ,  G06V30/262 ,  G06K15/02 ,  G06N3/08 ,  H04L67/12 ,  H04N19/80 ,  G06F16/951 ,  H04N19/46 ,  G06T7/70 ,  H04W12/02 ,  H04L9/00 ,  H04N19/12 ,  H04N19/124 ,  H04N19/167 ,  H04N19/172 ,  H04N19/176 ,  H04N19/44 ,  H04N19/48 ,  H04N19/513 ,  G06V30/194 ,  G06T7/20 ,  H04N19/42 ,  H04N19/625 ,  H04N19/63 ,  G06T7/223 ,  H04L67/10

摘要： In one embodiment, an apparatus comprises a communication interface and a processor. The communication interface is to communicate with a plurality of devices. The processor is to: receive compressed data from a first device, wherein the compressed data is associated with visual data captured by sensor(s); perform a current stage of processing on the compressed data using a current CNN, wherein the current stage of processing corresponds to one of a plurality of processing stages associated with the visual data, and wherein the current CNN corresponds to one of a plurality of CNNs associated with the plurality of processing stages; obtain an output associated with the current stage of processing; determine, based on the output, whether processing associated with the visual data is complete; if the processing is complete, output a result associated with the visual data; if the processing is incomplete, transmit the compressed data to a second device.

公开(公告)号：US10375407B2

公开(公告)日：2019-08-06

申请号：US15888927

申请日：2018-02-05

申请人： Intel Corporation

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

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

摘要： 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：US20180293753A1

公开(公告)日：2018-10-11

申请号：US15480204

申请日：2017-04-05

申请人： INTEL CORPORATION

发明人： Srenivas Varadarajan ,  Omesh Tickoo ,  Parual Datta

IPC分类号： G06T7/73

CPC分类号： G06T7/73 ,  G06K9/00369 ,  G06K9/00778 ,  G06K9/6223 ,  G06K9/6224 ,  G06T2207/20084 ,  G06T2207/30196 ,  G06T2207/30242

摘要： An example apparatus for estimating poses includes a person estimator to estimate a number of people based on a significant head count of received refined part detections. The apparatus includes a detection clusterer to cluster the refined part detections based on the estimated number of people to generate clustered part detections. The apparatus includes a candidate selector to select candidate person clusters for each clustered part detection based on proximity to the clustered part detection. The apparatus includes a sequential assigner to calculate a cluster affinity score for each combination of candidate person cluster and clustered part detection, and greedily sequentially assign each clustered part detection to a candidate person cluster based on the cluster affinity score to generate person clusters. The apparatus includes a pose generator to generate a pose for each person cluster.

公开(公告)号：US10084996B1

公开(公告)日：2018-09-25

申请号：US15640026

申请日：2017-06-30

申请人： Intel Corporation

发明人： Srenivas Varadarajan ,  Selvakumar Panneer ,  Carl S. Marshall

IPC分类号： H04N9/31

CPC分类号： H04N9/3155 ,  H04N9/3141 ,  H04N9/3147 ,  H04N9/3185 ,  H04N9/3194

摘要： Methods and apparatus for controlled shadow casting to increase the perceptual quality of projected content are disclosed. In some examples, an apparatus is to increase a perceptual quality of content projected onto a projection surface. In some examples, the apparatus includes a shutter position determiner to determine a target shutter position for a shutter based on a location of a light source and a location of the projection surface. In some disclosed examples, the apparatus further includes a shutter controller to move the shutter to the target shutter position to cast a shadow onto the projection surface around a portion of the content projected onto the projection surface.

公开(公告)号：US11562181B2

公开(公告)日：2023-01-24

申请号：US16948304

申请日：2020-09-11

申请人： Intel Corporation

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

IPC分类号： G06K9/62 ,  H04L9/06 ,  G06F21/64 ,  G06F21/53 ,  G06N5/02 ,  G06N3/04 ,  G06F21/45 ,  H04L9/32 ,  H04W4/70 ,  G06F21/44 ,  G06F16/538 ,  G06F16/535 ,  G06F16/54 ,  G06F21/62 ,  G06F9/50 ,  G06N3/063 ,  G06V10/20 ,  G06V10/40 ,  G06V10/75 ,  G06V10/44 ,  G06V20/00 ,  G06V40/20 ,  G06V40/16 ,  G06F9/48 ,  H04L67/51 ,  G06T7/11 ,  G06V10/96 ,  G06V30/262 ,  G06K15/02 ,  G06N3/08 ,  H04L67/12 ,  H04N19/80 ,  G06F16/951 ,  H04N19/46 ,  G06T7/70 ,  H04W12/02 ,  H04L9/00 ,  H04N19/12 ,  H04N19/124 ,  H04N19/167 ,  H04N19/172 ,  H04N19/176 ,  H04N19/44 ,  H04N19/48 ,  H04N19/513 ,  G06V30/194 ,  G06T7/20 ,  H04N19/42 ,  H04N19/625 ,  H04N19/63 ,  G06T7/223 ,  H04L67/10

摘要： In one embodiment, an apparatus comprises a memory and a processor. The memory is to store visual data associated with a visual representation captured by one or more sensors. The processor is to: obtain the visual data associated with the visual representation captured by the one or more sensors, wherein the visual data comprises uncompressed visual data or compressed visual data; process the visual data using a convolutional neural network (CNN), wherein the CNN comprises a plurality of layers, wherein the plurality of layers comprises a plurality of filters, and wherein the plurality of filters comprises one or more pixel-domain filters to perform processing associated with uncompressed data and one or more compressed-domain filters to perform processing associated with compressed data; and classify the visual data based on an output of the CNN.

公开(公告)号：US11166041B2

公开(公告)日：2021-11-02

申请号：US16457802

申请日：2019-06-28

申请人： Intel Corporation

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

IPC分类号： H04N19/52 ,  G06K9/32 ,  G06K9/62 ,  G06N3/04 ,  H04N19/172 ,  H04N19/523

摘要： 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：US20200250003A1

公开(公告)日：2020-08-06

申请号：US16652038

申请日：2018-06-29

申请人： Intel Corporation

发明人： Shao-Wen Yang ,  Yen-Kuang Chen ,  Ragaad Mohammed Irsehid Altarawneh ,  Juan Pablo Munoz Chiabrando ,  Siew Wen Chin ,  Kushal Datta ,  Subramanya R. Dulloor ,  Julio C. Zamora Esquivel ,  Omar Ulises Florez Choque ,  Vishakha Gupta ,  Scott D. Hahn ,  Rameshkumar Illikkal ,  Nilesh Kumar Jain ,  Siti Khairuni Amalina Kamarol ,  Anil S. Keshavamurthy ,  Heng Kar Lau ,  Jonathan A. Lefman ,  Yiting Liao ,  Michael G. Millsap ,  Ibrahima J. Ndiour ,  Luis Carlos Maria Remis ,  Addicam V. Sanjay ,  Usman Sarwar ,  Eve M. Schooler ,  Ned M. Smith ,  Vallabhajosyula S. Somayazulu ,  Christina R. Strong ,  Omesh Tickoo ,  Srenivas Varadarajan ,  Jesús A. Cruz Vargas ,  Hassnaa Moustafa ,  Arun Raghunath ,  Katalin Klara Bartfai-Walcott ,  Maruti Gupta Hyde ,  Deepak S. Vembar ,  Jessica McCarthy

IPC分类号： G06F9/50 ,  G06K9/00 ,  G06N3/04 ,  G06N3/063

摘要： In one embodiment, an apparatus comprises a processor to: identify a workload comprising a plurality of tasks; generate a workload graph based on the workload, wherein the workload graph comprises information associated with the plurality of tasks; identify a device connectivity graph, wherein the device connectivity graph comprises device connectivity information associated with a plurality of processing devices; identify a privacy policy associated with the workload; identify privacy level information associated with the plurality of processing devices; identify a privacy constraint based on the privacy policy and the privacy level information; and determine a workload schedule, wherein the workload schedule comprises a mapping of the workload onto the plurality of processing devices, and wherein the workload schedule is determined based on the privacy constraint, the workload graph, and the device connectivity graph. The apparatus further comprises a communication interface to send the workload schedule to the plurality of processing devices.

公开(公告)号：US10582196B2

公开(公告)日：2020-03-03

申请号：US15640198

申请日：2017-06-30

申请人： INTEL CORPORATION

发明人： Javier Perez-Ramirez ,  Srenivas Varadarajan ,  Yiting Liao ,  Vallabhajosyula S. Somayazulu ,  Omesh Tickoo ,  Ibrahima J. Ndiour

IPC分类号： H04N19/109 ,  H04N19/167 ,  H04N19/172 ,  H04N19/126

摘要： 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.

公开(公告)号：US20190007678A1

公开(公告)日：2019-01-03

申请号：US15640198

申请日：2017-06-30

申请人： INTEL CORPORATION

发明人： Javier Perez-Ramirez ,  Srenivas Varadarajan ,  Yiting Liao ,  Vallabhajosyula S. Somayazulu ,  Omesh Tickoo ,  Ibrahima J. Ndiour

IPC分类号： H04N19/109 ,  H04N19/167 ,  H04N19/172

CPC分类号： H04N19/109 ,  H04N19/126 ,  H04N19/167 ,  H04N19/172

摘要： 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.

公开(公告)号：US20230237144A1

公开(公告)日：2023-07-27

申请号：US18157154

申请日：2023-01-20

申请人： Intel Corporation

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

IPC分类号： G06F21/44 ,  H04L9/06 ,  G06F21/64 ,  G06F21/53 ,  G06N5/022 ,  G06F21/45 ,  H04L9/32 ,  H04W4/70 ,  G06F16/538 ,  G06F16/535 ,  G06F16/54 ,  G06F21/62 ,  G06F9/50 ,  G06N3/04 ,  G06N3/063 ,  G06V10/44 ,  G06V20/00 ,  G06V40/20 ,  G06V40/16 ,  G06F9/48 ,  H04L67/51 ,  G06T7/11 ,  G06V10/96 ,  G06V30/262 ,  G06K15/02 ,  G06F18/24 ,  G06F18/21 ,  G06F18/22 ,  G06F18/211 ,  G06F18/213 ,  G06F18/2413 ,  G06N3/045 ,  G06V30/19 ,  G06V10/82 ,  G06V10/94 ,  G06V10/75 ,  G06V10/20 ,  G06V10/40 ,  G06N3/08 ,  H04L67/12 ,  H04N19/80 ,  G06F16/951 ,  H04N19/46 ,  G06T7/70

CPC分类号： G06F21/44 ,  H04L9/0643 ,  G06F21/64 ,  G06F21/53 ,  G06N5/022 ,  G06F21/45 ,  H04L9/3239 ,  H04W4/70 ,  G06F16/538 ,  G06F16/535 ,  G06F16/54 ,  G06F21/6254 ,  G06F9/5044 ,  G06F9/5072 ,  G06N3/04 ,  G06N3/063 ,  G06V10/454 ,  G06V20/00 ,  G06V40/20 ,  G06V40/161 ,  G06F9/4881 ,  G06F9/5066 ,  H04L67/51 ,  G06T7/11 ,  G06V10/96 ,  G06V30/274 ,  G06K15/1886 ,  G06F18/24 ,  G06F18/21 ,  G06F18/22 ,  G06F18/211 ,  G06F18/213 ,  G06F18/2163 ,  G06F18/24143 ,  G06N3/045 ,  G06V30/19173 ,  G06V10/82 ,  G06V10/95 ,  G06V10/75 ,  G06V10/20 ,  G06V10/40 ,  G06N3/08 ,  H04L67/12 ,  H04N19/80 ,  G06F16/951 ,  H04N19/46 ,  G06T7/70 ,  H04W12/02

摘要： In one embodiment, an apparatus comprises a memory and a processor. The memory is to store visual data associated with a visual representation captured by one or more sensors. The processor is to: obtain the visual data associated with the visual representation captured by the one or more sensors, wherein the visual data comprises uncompressed visual data or compressed visual data; process the visual data using a convolutional neural network (CNN), wherein the CNN comprises a plurality of layers, wherein the plurality of layers comprises a plurality of filters, and wherein the plurality of filters comprises one or more pixel-domain filters to perform processing associated with uncompressed data and one or more compressed-domain filters to perform processing associated with compressed data; and classify the visual data based on an output of the CNN.