Intel Corporation

Archie Sharma

Stanley J Baran

Narayan Biswal

Barnan Das

Gokcen Cilingir

Mayuresh M Varerkar

Nilesh V Shah

Joydeep Ray

Abhishek R Appu

Prasoonkumar Surti

Altug Koker

Michael Apodaca

Atsuo Kuwahara

Jill MacDonald Boyce

Srikanth Potluri

Travis T Schluessler

Nikos Kaburlasos

John H Feit

Dukhwan Kim

Jeffery S Boles

James M Holland

Jacek Kwiatkowski

Jonathan Kennedy

Jong Dae Oh

Louis Feng

Sherine Abdelhak

Kai Xiao

Yi-Jen Chiu

John Charles Weast

Atul Divekar

Linda L Hurd

Scott R Janus

Xiaoming Chen

Richmond Hicks

Changliang Wang

Chandrasekaran Sakthivel

Sang-Hee Lee

Atthar H Mohammed

Hiu-Fai R Chan

Robert J Johnston

Satyanarayana Avadhanam

Jeffrey Tripp

Neelay Pandit

Praneetha Kotha

Vasanth Ranganathan

Sanjeev S Jahagirdar

Narayan Srinivasa

Anbang Yao

Feng Chen

Adam T Lake

Tatiana Shpeisman

Jason Daniel Tanner

Ping Tak Tang

Nadathur Rajagopalan Satish

Hugues Labbe

Michael S Strickland

Mike B Macpherson

Farshad Akhbari

Sachin B Godse

Sumit Mohan

Tzach Ashkenazi

Maria Bortman

Melanie Daniels

Itay Kaufman

Jonathan Distler

Jason Ross

Elmoustapha Ould-Ahmed-Vall

Justin E Gottschlich

Sara S Baghsorkhi

Rajkishore Barik

Mike MacPherson

Harleen Kaur Gill

Fai Yeung

Sang-hee Lee

Michael D Rosenzweig

Kevin Nealis

Sankar Jayaram

Wayne O Cochran

Ritesh Kale

Uma Jayaram

Gilson Goncalves De Lima

Patrick Youngung Shon

Charu Srivastava

Ok Joon Kim

Durga Raj Mathur

John A Harrison

Kyle Siehl

Gockcen Clingir

Greg Weinstein

Systems and methods for applying style transfer functions in multi-camera systems and multi-microphone systems are disclosed herein. An example multi-camera style transfer system includes at least one memory, instructions in the system, and processor circuitry to execute the instructions to at least apply a style transfer function to a second image from a second video feed to generate a stylized image based on a reference image. The reference image corresponds to a first image from a first video feed. The first video feed is from a first camera. The second video feed is from a second camera. The processor circuitry also executed the instructions to adjust one or more parameter settings of a video filter based on the stylized image, and filter the second video feed using the video filter with the adjusted parameter settings to generate a filtered version of the second video feed.

Systems and methods for applying style transfer functions in multi-camera systems and multi-microphone systems

A mechanism is described for facilitating adaptive resolution and viewpoint-prediction for immersive media in computing environments. An apparatus of embodiments, as described herein, includes one or more processors to receive viewing positions associated with a user with respect to a display, and analyze relevance of media contents based on the viewing positions, where the media content includes immersive videos of scenes captured by one or more cameras. The one or more processors are further to predict portions of the media contents as relevant portions based on the viewing positions and transmit the relevant portions to be rendered and displayed.

Adaptive resolution of point cloud and viewpoint prediction for video streaming in computing environments

Systems, apparatuses and methods may provide away to render augmented reality (AR) and/or virtual reality (VR) sensory enhancements using ray tracing. More particularly, systems, apparatuses and methods may provide a way to normalize environment information captured by multiple capture devices, and calculate, for an observer, the sound sources or sensed events vector paths. The systems, apparatuses and methods may detect and/or manage one or more capture devices and assign one or more the capture devices based on one or more conditions to provide observer an immersive VR/AR experience.

Augmented reality virtual reality ray tracing sensory enhancement system, apparatus and method

Disclosed examples include an interface; programmable circuitry; and instructions to cause the programmable circuitry to: detect a person in physical proximity of a client device; and initiate activation of one or more privacy filters at the client device to blur information via a videoconferencing application.

Automatically enhancing privacy in live video streaming

A graphics processor can include a processing cluster array including a plurality of processing clusters coupled with the plurality of memory controllers, each processing cluster of the plurality of processing clusters including a plurality of streaming multiprocessors, the processing cluster array configured for partitioning into a plurality of partitions. The plurality of partitions include a first partition including a first plurality of streaming multiprocessors configured to perform operations for a first neural network, The operations for the first neural network are isolated to the first partition. The plurality of partitions also include a second partition including a second plurality of streaming multiprocessors configured to perform operations for a second neural network. The operations for the second neural network are isolated to the second partition and protected from operations performed for the first neural network.

Graphics neural network processor, method, and system

An apparatus to facilitate neural network (NN) training is disclosed. The apparatus includes training logic to receive one or more network constraints and train the NN by automatically determining a best network layout and parameters based on the network constraints.

Neural network training mechanism

Systems, apparatuses and methods may provide away to render augmented reality and virtual reality (VR/AR) environment information. More particularly, systems, apparatuses and methods may provide a way to selectively suppress and enhance VR/AR renderings of n-dimensional environments. The systems, apparatuses and methods may deepen a user's VR/AR experience by focusing on particular feedback information, while suppressing other feedback information from the environment.

Augmented reality and virtual reality feedback enhancement system, apparatus and method

A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.

Recognition, reidentification and security enhancements using autonomous machines

Systems, apparatuses and methods may provide for technology to improve user experience when viewing simulated 3D objects on a display. Head and upper-body movements may be tracked and recognized as gestures to alter the displayed viewing angle. The technology provides for a very natural way to look around, under, or over objects.

Viewing angles influenced by head and body movements

Technology for a device operable for secured user access is described. The technology can comprise one or more processors. The device can be configured to identify an intruder indicator, wherein the intruder indicator can indicate that an intruder has been detected in a proximity of either the local device or a remote device in communication with the local device. The device can be configured to activate one or more privacy filters at the local device. The device can be configured to encode data based on the one or more privacy filters.

A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.

Hybrid graphics processor-field programmable gate array system

An apparatus, system, and method are described for providing real-time capture, processing, and distribution of panoramic virtual reality (VR) content. One embodiment of a graphics processor comprises a video interface to receive a plurality of images from a corresponding plurality of cameras; an image rectifier to perform a perspective re-projection of at least some of the images to a common image plane to generate a rectified plurality of images; a stitcher to analyze overlapping regions of adjacent images in the rectified images and to identify corresponding pixels in the overlapping regions and to stitch the adjacent images in accordance with the corresponding pixels to generate a panoramic image comprising a stitched combination of the rectified plurality of images; and a cylindrical projector to project the panoramic image onto a cylindrical surface to generate a final panoramic video image to be used to implement a VR environment on a VR apparatus.

Method and apparatus for processing and distributing live virtual reality content

An apparatus to facilitate processing video bit stream data is disclosed. The apparatus includes one or more processors to encode surface normals data with point cloud geometry data included in the video bit stream data for reconstruction of objects within the video bit stream data based on the surface normals data and a memory communicatively coupled to the one or more processors.

Surface normal vector processing mechanism

Growing community of inventors

Folsom, CA, United States of America

Archie Sharma