Intel Corporation

Other

Changliang Wang

Yunbiao Lin

Abhishek R Appu

Joydeep Ray

Scott R Janus

Richmond Hicks

Narayan Biswal

Sang-Hee Lee

Robert J Johnston

Gary Smith

Satyanarayana Avadhanam

Stanley J Baran

Srikanth Kambhatla

Kunjal ShyamKumar Parikh

Bo Zhao

Jong Dae Oh

Atthar H Mohammed

Hiu-Fai R Chan

Jill MacDonald Boyce

Arthur Jeremy Runyan

Keith W Rowe

Ce Wang

Penne Lee

Ning Luo

Balaji Vembu

Ximin Zhang

Nausheen Ansari

Nilesh V Shah

Ya-Ti Peng

Archie Sharma

Bo Qiu

Ping Liu

Wen-Fu Kao

Jianwei Yang

Wenyi Tang

Yating Wang

Zhan Lou

Yongfa Zhou

Altug Koker

Guei-Yuan Lueh

Radhakrishnan Venkataraman

Sumit Mohan

Subramaniam M Maiyuran

Vasanth Ranganathan

Yu Yang

Yi-Jen Chiu

Sanjeev S Jahagirdar

Nikos Kaburlasos

Lidong Xu

David M Puffer

Jason Daniel Tanner

James M Holland

Xinmin Tian

Brent E Insko

Barnan Das

David J Cowperthwaite

Sang-hee Lee

Bryan R White

Bin Yang

Mohammad R Haghighat

Susanta Bhattacharjee

Jia Bao

Satyanantha Ramagopal Musunuri

Zhiwei Ying

Durgaprasad Bilagi

Sri Ranjan Srikantam

Yue Xiong

Gaurav Kumar

Ashwin Muppalla

Akshat Nanda

Fan He

Dmitry Ermilov

Hong Jiang

Paul S Diefenbaugh

Ankur N Shah

Aditya Navale

Karthik Veeramani

Yadong Li

Gang Hu

Rajneesh Chowdhury

Tao Xu

Satya N Yedidi

Ramanathan Sethuraman

Srikanth Potluri

Nir Gerber

Tiehan Lu

Yu Chan Yang

Scott W Cheng

Li Xu

Gary K Smith

Raul Zegers Diaz

Vidhya Krishnan

Ujwal Paidipathi

Ronald W Silvas

Jean-Pierre Giacalone

Xiaoyu Ruan

Wei Hu

Changwon D Rhee

Sebastian Possos

James Varga

Embodiments described herein are generally directed to improvements relating to power, latency, bandwidth and/or performance issues relating to GPU processing/caching. According to one embodiment, a system includes a producer intellectual property (IP) (e.g., a media IP), a compute core (e.g., a GPU or an AI-specific core of the GPU), a streaming buffer logically interposed between the producer IP and the compute core. The producer IP is operable to consume data from memory and output results to the streaming buffer. The compute core is operable to perform AI inference processing based on data consumed from the streaming buffer and output AI inference processing results to the memory.

Graphics processing unit processing and caching improvements

Techniques related to video coding with fast low-latency bitstream size control includes detecting outliers and determining a target bitstream size based on the outlier and reinforcement-learning.

Method and system of video coding with fast low-latency bitstream size control

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

Examples described herein relate to a system that includes a central processing unit; a trusted execution environment (TEE); and a graphics processing system. In some examples, the central processing unit is to process homomorphically encrypted video game object data. In some examples, the TEE is to transpose the processed homomorphically encrypted object data to a second encryption format. In some examples, the graphics processing system is to perform a graphics processing pipeline operation on the object data in the second encryption format and provide rendered image data of the video game to a buffer. In some examples, the TEE is to receive homomorphic decryption keys and transpose the processed homomorphically encrypted object data to a second encryption format based on the homomorphic decryption keys. In some examples, the system is to inform a gaming server of a change to object data received from the gaming server to identify cheating.

Anti-cheat game technology in graphics hardware

An embodiment of an adaptive video encoder may determine headset-related information including at least one of focus-related information and motion-related information and determine one or more video encode parameters based on the headset-related information. The adaptive video encoder may also encode a macroblock of a video image based on the one or more determined video encode parameters. Other embodiments are disclosed and claimed.

Adaptive foveated encoder and global motion predictor

Often when there is a glare on a display screen the user may be able to mitigate the glare by tilting or otherwise moving the screen or changing their viewing position. However, when driving a car there are limited options for overcoming glares on the dashboard, especially when you are driving for a long distance in the same direction. Embodiments are directed to eliminating such glare. Other embodiments are related to mixed reality (MR) and filling in occluded areas.

Glare and occluded view compensation for automotive and other applications

An example apparatus for adaptively encoding video frames includes a network analyzer to predict an instant bitrate based on channel throughput feedback received from a network. The apparatus also includes a content analyzer to generate ladder info based on a received frame. The apparatus further includes an adaptive decision executer to determine a frame rate, a video resolution, and a target frame size based on the predicted instant bitrate and the ladder outputs. The apparatus further includes an encoder to encode the frame based on the frame rate, the video resolution, and the target frame size.

Adaptively encoding video frames using content and network analysis

Techniques related to adaptive quality boosting for low latency video coding are discussed. Such techniques include segmenting each of a number of temporally adjacent video frames into unique high encode quality regions and encoding each of the video frames by applying a coding quality boost to the high encode quality regions relative to other regions of the video frames.

Adaptive quality boosting for low latency video coding

Examples described herein relate to a system that after decoding of video by the first device, provides a memory address of decoded video in the memory device to a second driver for a second device and perform a second device driver that causes the second device to access the decoded video directly from a translation of the memory address of the memory device, wherein the second device is to access the decoded video with memory properties of the decoded video and decompression information of the decoded video. In some examples, the first device comprises one or more of: a graphics processing unit integrated with a central processing unit (CPU), a discrete graphics processing unit, or a video decoder accelerator. In some examples, the second device comprises one or more of: a graphics processing unit integrated with a central processing unit (CPU) or a discrete graphics processing unit. In some examples, the memory properties of the decoded video comprise swizzle information. In some examples, decompression information of the decoded video comprise a decompression scheme or decompression key.

Processing of data by multiple graphic processing devices

Systems, apparatuses and methods may provide for source device technology that identifies a plurality of object regions in a video frame, automatically generates context information for the video frame on a per-object region basis and embeds the context information in a signal containing the video frame. Additionally, playback device technology may decode a signal containing a video frame and embedded context information, identifies a plurality of object regions in the video frame based on the embedded context information, and automatically selects one or more post-processing configurations for the video frame on a per-object region basis.

Technology to use video source context information in post-processing operations

Techniques related to video coding include efficient frame loss recovery using a feedback channel acknowledgement to decode base layer frames.

Method and system of video coding with efficient frame loss recovery

An embodiment of an adaptive video encoder may include technology to determine headset-related information including at least one of focus-related information and motion-related information, and determine one or more video encode parameters based on the headset-related information. Other embodiments are disclosed and claimed.

Methods, apparatus, systems, and articles of manufacture are disclosed. Example apparatus disclosed herein are to process features extracted from first and second downscaled image frames to determine block classifications for respective blocks of the first and the second downscaled image frames. Disclosed example apparatus are also to generate a map based on the block classifications, the map including values representative of amounts of change associated with blocks of the second downscaled image frame and corresponding blocks of the first downscaled image frame. Disclosed example apparatus are further to adjust a quantization parameter of a full-scale image frame based on the map, the full-scale image frame corresponding to the at least one of the first or the second downscaled image frames.

Methods and apparatus to encode video with region of motion detection

A system and method of wireless display, including a transmitter processing a first encrypted content into a second encrypted content without decoding, and transferring the second encrypted content over a wireless display connection to a receiver.

Wireless display streaming of protected content

Growing community of inventors

Bellevue, WA, United States of America

Changliang Wang