Intel Corporation

Stanley J Baran

Abhishek R Appu

Narayan Biswal

Barnan Das

Joydeep Ray

Archie Sharma

Gokcen Cilingir

Jong Dae Oh

Mayuresh M Varerkar

Nilesh V Shah

Atthar H Mohammed

Hiu-Fai R Chan

Sang-Hee Lee

Prasoonkumar Surti

Jill MacDonald Boyce

Altug Koker

Richmond Hicks

James M Holland

Atsuo Kuwahara

Michael Apodaca

Srikanth Potluri

Yi-Jen Chiu

Robert J Johnston

Sumit Mohan

Travis T Schluessler

Nikos Kaburlasos

Changliang Wang

John H Feit

Dukhwan Kim

Jeffery S Boles

Jacek Kwiatkowski

Jonathan Kennedy

Louis Feng

Sherine Abdelhak

Kai Xiao

Jason Daniel Tanner

Satyanarayana Avadhanam

John Charles Weast

Scott R Janus

Atul Divekar

Linda L Hurd

Xiaoming Chen

Chandrasekaran Sakthivel

Hugues Labbe

Sang-hee Lee

Jeffrey Tripp

Neelay Pandit

Vasanth Ranganathan

Sanjeev S Jahagirdar

Narayan Srinivasa

Anbang Yao

Feng Chen

Adam T Lake

Tatiana Shpeisman

Ximin Zhang

Ping Tak Tang

Nadathur Rajagopalan Satish

Michael S Strickland

Mike B Macpherson

Farshad Akhbari

Michael D Rosenzweig

Fangwen Fu

Keith W Rowe

Satya N Yedidi

Jason Ross

Sachin B Godse

Glen J Anderson

Aleksander Magi

Nausheen Ansari

Srikanth Kambhatla

Kunjal ShyamKumar Parikh

Arthur Jeremy Runyan

Gary Smith

Susanta Bhattacharjee

Tzach Ashkenazi

Maria Bortman

Itay Kaufman

Jonathan Distler

Elmoustapha Ould-Ahmed-Vall

Justin E Gottschlich

Sara S Baghsorkhi

Qian Xu

Rajkishore Barik

Kristoffer Fleming

David W Browning

Mike MacPherson

Harleen Kaur Gill

Fai Yeung

Kevin Nealis

Chia-Hung Sophia Kuo

Sankar Jayaram

Nir Gerber

Kanghee Lee

Sangeeta Ghangam Manepalli

Wayne O Cochran

Ritesh Kale

Siew Wen Chin

Uma Jayaram

Gilson Goncalves De Lima

Qixiong Bian

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

Methods, apparatus, systems, and articles of manufacture for user-to-avatar mapping and adjustment are disclosed. An example apparatus includes processor circuitry to at least one of instantiate or execute the machine readable instructions to: determine a dissonance between a first orientation of a user in a real-world environment and a second orientation of an avatar in a virtual environment, the avatar corresponding to the user; determine an avatar adjustment value based on the dissonance; and apply the avatar adjustment value to the avatar model to change the second orientation.

User-to-avatar action mapping and adjustment

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

Methods, apparatus, systems, and articles of manufacture are disclosed to align processing events. An example apparatus includes a comparator to compare a value of a counter to a threshold value, the threshold value associated with an amount of time to defer provision of a first or second input signal to a corresponding first or second IP device, respectively, signal deferring circuitry to defer provision of the first or second input signals to a corresponding one of the first or second IP devices based on an output of the comparator, deferral of the first or second input signals to cause alignment of first and second processing events performed by the first and second IP devices, respectively, and power controlling circuitry to cause the first and second IP devices to power down based on completion of the first and second processing events.

Methods and apparatus to align media workloads

An example apparatus includes image processing circuitry to determine an uncovered region of a background image in a current video frame relative to the background image in a previous video frame, the uncovered region obscured in the previous video frame by a first foreground region of the previous video frame, and the uncovered region uncovered in the current video frame based on movement of a second foreground region in the current video frame relative to the first foreground region of the previous video frame, and encoder circuitry to generate an updated frame portion by encoding the second foreground region and dirty blocks of the background image corresponding to the uncovered region without encoding static blocks of the background image, the static blocks not corresponding to the uncovered region, and store the updated frame portion in the at least one memory.

Methods and apparatus to perform dirty region reads and writes to reduce memory bandwidth usage

Systems, apparatuses and methods may include a source device that generates a scene change notification in response to a movement of a camera, modifies an encoding scheme associated with the video content captured by the camera in response to the scene change notification, identifies a full-frame difference threshold, wherein scene analysis information includes frame difference data, and compares the frame difference data to an intermediate threshold that is less than the full-frame difference threshold, wherein the scene change notification is generated when the frame difference data exceeds the intermediate threshold. A sink device may obtain transport quality data associated with video content, modify an output parameter of a display based on the transport quality data, determine a view perspective of a still image containing a plurality of image slices, retrieve only a subset of the plurality of image slices based on the view perspective and decode the retrieved subset.

Technology to accelerate scene change detection and achieve adaptive content display

Systems, apparatus, articles of manufacture, and methods to facilitate user interaction across multiple computing systems are disclosed. An example apparatus includes interface circuitry, machine readable instructions, and programmable circuitry to at least one of instantiate or execute the machine readable instructions to, cause content to be provided to a host computing system to present the content via a display, access an edit instruction from a user of the apparatus, the edit instruction to cause a change of the content, and cause the edit instruction to be provided to the host computing system to apply the change to the content presented on the display.

Methods and apparatus to facilitate user interaction across multiple computing systems

An embodiment may include a display processor, memory to store a 2D frame corresponding to a projection from a 360 video, and a quality selector to select a quality factor for a block of the 2D frame based on quality information from neighboring blocks of the 2D frame, including blocks which are neighboring only in the 360 video space. The system may also include a range adjuster to adjust a search range for the 2D frame based on a search area of the 2D frame, a viewport manager to determine if a request for a viewport of the 2D frame extends beyond a first edge of the 2D frame and to fill the requested viewport with wrap-around image information, and/or a motion estimator to estimate motion information based on both color information and depth information. Other embodiments are disclosed and claimed.

360 neighbor-based quality selector, range adjuster, viewport manager, and motion estimator for graphics

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

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 a performance-enhanced computing system comprising a sensor for measuring luminance values corresponding to light focused onto the sensor at a plurality of pixel locations, a memory including a set of instructions, and a processor. The processor executes a set of instructions causing the system to generate a multi-segment tone mapping curve, generate a set of tone mapping values corresponding to the multi-segment tone mapping curve for equally spaced input values between zero and one for storage into a look up table, and process the luminance values using the look up table to apply the tone mapping curve to the luminance values of the pixels.

HDR enhancement with temporal multiplex

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

Growing community of inventors

Elk Grove, CA, United States of America

Stanley J Baran