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公开(公告)号：US20210266145A1
公开(公告)日：2021-08-26
申请号：US16948861
申请日：2020-10-02
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 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.
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公开(公告)号：US10922536B2
公开(公告)日：2021-02-16
申请号：US16748212
申请日：2020-01-21
Applicant: Intel Corporation
Inventor： Srenivas Varadarajan , Nikita Tiwari , Parual Datta , Andradige Pubudu Madhawa Silva , Omesh Tickoo , Erin Carroll
Abstract: A mechanism is described for facilitating age classification of humans using image depth and human pose according to one embodiment. A method of embodiments, as described herein, includes facilitating, by one or more cameras of a computing device, capturing of a video stream of a scene having persons, and computing overall-depth torso lengths of the persons based on depth torso lengths of the persons. The method may further include comparing the overall-depth torso lengths with a predetermined threshold value representing a separation age between adults and children, and classifying a first set of the persons as adults if a first set of the overall-depth torso lengths associated with the first set of persons is greater than the threshold value.
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公开(公告)号：US10797863B2
公开(公告)日：2020-10-06
申请号：US16024356
申请日：2018-06-29
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 , G06N3/08 , H04N19/80 , G06F16/951 , G06K9/36 , H04N19/46 , G06T7/70 , G06K9/64 , G06K9/72 , H04W12/02 , H04N19/42 , H04N19/625 , H04N19/63 , G06T7/223
Abstract: 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.
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公开(公告)号：US20200226430A1
公开(公告)日：2020-07-16
申请号：US16830341
申请日：2020-03-26
Applicant: Intel Corporation
Inventor： Nilesh Ahuja , Ibrahima Ndiour , Javier Felip Leon , David Gomez Gutierrez , Ranganath Krishnan , Mahesh Subedar , Omesh Tickoo
Abstract: Vehicle navigation control systems in autonomous driving rely on accurate predictions of objects within the vicinity of the vehicle to appropriately control the vehicle safely through its surrounding environment. Accordingly this disclosure provides methods and devices which implement mechanisms for obtaining contextual variables of the vehicle's environment for use in determining the accuracy of predictions of objects within the vehicle's environment.
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公开(公告)号：US10700703B2
公开(公告)日：2020-06-30
申请号：US16022631
申请日：2018-06-28
Applicant: Intel Corporation
Inventor： Jawad B. Khan , Sanjeev N. Trika , Omesh Tickoo , Wei Wu
Abstract: To address the storage needs of applications that work with noisy data (e.g. image, sound, video data), where errors can be tolerated to a certain extent and performance is more critical than data fidelity, dynamic reliability levels enable storage devices capable of storing and retrieving data with varying degrees of data fidelity to dynamically change the degree of data fidelity in response to an application's request specifying reliability level. By allowing the application to specify the reliability level at which its data is stored and retrieved, dynamic reliability levels can increase read/write performance without sacrificing application accuracy. The application can specify reliability levels for different types or units of data, such as different reliability levels for metadata as opposed to data and so forth.
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Patent Agency Ranking
公开(公告)号：US10515636B2
公开(公告)日：2019-12-24
申请号：US15387508
申请日：2016-12-21
Applicant: Intel Corporation
Inventor： Julio C. Zamora Esquivel , Hector A. Cordourier Maruri , Paulo Lopez Meyer , Alejandro Ibarra Von Borstel , Willem M. Beltman , Jose R. Camacho Perez , Omesh Tickoo
Abstract: An example apparatus for detecting speech includes an image receiver to receive depth information corresponding to a face. The apparatus also includes a landmark detector to detect the face comprising lips and track a plurality of descriptor points comprising lip descriptor points located around the lips. The apparatus further includes a descriptor computer to calculate a plurality of descriptor features based on the tracked descriptor points. The apparatus includes a pattern generator to generate a visual pattern of the descriptor features over time. The apparatus also further includes a speech recognition engine to detect speech based on the generated visual pattern.
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公开(公告)号：US10438088B2
公开(公告)日：2019-10-08
申请号：US15372508
申请日：2016-12-08
Applicant: INTEL CORPORATION
Inventor： Mi Sun Park , Yeongseon Lee , Omesh Tickoo
IPC: G06K9/46
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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公开(公告)号：US20190026548A1
公开(公告)日：2019-01-24
申请号：US15821461
申请日：2017-11-22
Applicant: Intel Corporation
Inventor： Srenivas Varadarajan , Nikita Tiwari , Parual Datta , Andradige Pubudu Madhawa Silva , Omesh Tickoo , Erin Carroll
CPC classification number: G06K9/00369 , G06K9/00362 , G06K9/628 , G06T7/292 , G06T2207/20081 , G06T2207/20084
Abstract: A mechanism is described for facilitating age classification of humans using image depth and human pose according to one embodiment. A method of embodiments, as described herein, includes facilitating, by one or more cameras of a computing device, capturing of a video stream of a scene having persons, and computing overall-depth torso lengths of the persons based on depth torso lengths of the persons. The method may further include comparing the overall-depth torso lengths with a predetermined threshold value representing a separation age between adults and children, and classifying a first set of the persons as adults if a first set of the overall-depth torso lengths associated with the first set of persons is greater than the threshold value.
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公开(公告)号：US20190007690A1
公开(公告)日：2019-01-03
申请号：US15640202
申请日：2017-06-30
Applicant: INTEL CORPORATION
Inventor： Srenivas Varadarajan , Yiting Liao , Vallabhajosyula S. Somayazulu , Omesh Tickoo , Ibrahima J. Ndiour , Javier Perez-Ramirez
IPC: H04N19/167 , H04N19/17 , H04N19/176
CPC classification number: H04N19/167 , G06K9/00 , H04N19/124 , H04N19/17 , H04N19/176
Abstract: An example apparatus for encoding video frames includes a receiver to receive video frames and a heat map from a camera and expected object regions from a video database. The apparatus also includes a region of interest (ROI) map generator to detect a region of interest in a video frame based on the expected object regions. The ROI map generator can also detect a region of interest in the video frame based on the heat map. The ROI map generator can then generate an ROI map based on the detected regions of interest. The apparatus further 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 encoding parameter.
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公开(公告)号：US20180089583A1
公开(公告)日：2018-03-29
申请号：US15278503
申请日：2016-09-28
Applicant: Intel Corporation
Inventor： Ravishankar Iyer , Glen J. Anderson , Omesh Tickoo , David I. Poisner , Therese E. Dugan , Mark R. Francis , Yevgeniy Y. Yarmosh
CPC classification number: G06N20/00 , G06F3/14 , G06F3/147 , G06K9/6254 , G09G2360/08 , G09G2370/16
Abstract: Systems, apparatuses and methods may provide for training smart objects. More particularly, Systems, apparatuses and methods may provide training smart objects and users to understand actions and commands, using sensors and actuators. Systems, apparatuses and methods may also provide smart objects and users a way to communicate training to other smart objects and users.
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