Advanced Micro Devices Corporation

Ati Technologies Ulc

Michael L Schmit

Radhakrishna Giduthuri

Rajy Meeyakhan Rawther

Ashish Farmer

Khaled Mammou

William Herz

Gabor Sines

Lei Zhang

Ihab Amer

Daniel Wong

Le Zhang

Ilia Blank

Wei Liang

Radha Giduthuri

Patrick Fok

Kiriti Nagesh Gowda

John Wakefield Brothers

Nathaniel David Naegle

Raja Koduri

Lakshmi Kumar

Shivashankar Gurumuthy

Carrell Ray Killebrew

Vicky W Tsang

Passant V Karunaratne

An approach is provided for a gaming overlay application to provide automatic in-game subtitles and/or closed captions for video game applications. The overlay application accesses an audio stream and a video stream generated by an executing game application. The overlay application processes the audio stream through a text conversion engine to generate at least one subtitle. The overlay application determines a display position to associate with the at least one subtitle. The overlay application generates a subtitle overlay comprising the at least one subtitle located at the associated display position. The overlay application causes a portion of the video stream to be displayed with the subtitle overlay.

Automatic in-game subtitles and closed captions

A computer vision processing device is provided which comprises memory configured to store data and a processor. The processor is configured to store captured image data in a first buffer and acquire access to the captured image data in the first buffer when the captured image data is available for processing. The processor is also configured to execute a first group of operations in a processing pipeline, each of which processes the captured image data accessed from the first buffer and return the first buffer for storing next captured image data when a last operation of the first group of operations executes.

Buffer management for plug-in architectures in computation graph structures

A processing device is provided which comprises memory and a processor. The processor is configured to receive an array of floating point numbers each having a plurality of bits used to represent a probability value. For each floating point number, the processor is configured to replace values in a portion of the bits used to represent the probability value with index values to represent an index corresponding to a location of a corresponding floating point number in the memory. The processor is also configured to process the floating point numbers using SIMD instructions to execute one of an argmax operation and an argmin operation.

Argmax use for machine learning

A host processor, such as a central processing unit (CPU), programmed to execute a software driver that causes the host processor to generate a motion compensation command for a plurality of cores of a massively parallel processor, such as a graphics processing unit (GPU), to provide motion compensation for encoded video. The motion compensation command for the plurality of cores of the massively parallel processor contains executable instructions for processing a plurality of motion vectors grouped by a plurality of prediction modes from a re-ordered motion vector buffer by the plurality of cores of the massively parallel processor.

Methods and apparatus for decoding video using re-ordered motion vector buffer

The present disclosure is directed a system and method for exploiting camera and depth information associated with rendered video frames, such as those rendered by a server operating as part of a cloud gaming service, to more efficiently encode the rendered video frames for transmission over a network. The method and system of the present disclosure can be used in a server operating in a cloud gaming service to improve, for example, the amount of latency, downstream bandwidth, and/or computational processing power associated with playing a video game over its service. The method and system of the present disclosure can be further used in other applications where camera and depth information of a rendered or captured video frame is available.

Exploiting camera depth information for video encoding

Systems, methods, and devices for generating an image frame for display to a user. Brain activity sensor data correlated with movement of a user is received. A predicted field of view of the user is determined based on the brain activity sensor data. An image frame is generated based on the predicted field of view. The image frame is transmitted to a display for display to a user. Some implementations provide for receiving and displaying a foveated image frame based on a predicted field of view of a user. Brain activity information of a user is captured. The brain activity information is communicated to a transceiver. The brain activity information is transmitted to a rendering device using the transceiver to generate a foveated image frame based on a predicted field of view of the user. The foveated image frame is received from the rendering device, decoded, and displayed to the user.

Image generation based on brain activity monitoring

A processing device is provided which includes memory configured to store data and a processor. The processor is configured to receive a plurality of panoramic video images representing views around a point in a three dimensional (3D) space and warp the plurality of panoramic video images, using a panoramic format, into a plurality of formatted warped images. The processor is also configured to store, in the memory, the plurality of formatted warped images and perform a motion search around each co-located pixel block of a reference panoramic frame by limiting the motion searches in a vertical direction around the co-located pixel blocks.

Device and method for compressing panoramic video images

A method and apparatus of precomputing includes capturing a first image by a first image capturing device. An image space for the first image is defined and pixels in the image space are analyzed for validity. Valid pixels are stored as valid pixel groups and the valid pixel groups are processed.

Method and apparatus of image processing

Methods and apparatus for video processing are disclosed. In one embodiment the work of processing of different types of video frames is allocated between a plurality of computing resources. For example, different computing resources for can be used for I, P and B frames, where an I frame is an intra-frame encoded with no other frames as a reference; a P frame is encoded with one previous I or P frame as a reference and a B frame is encoded with one previous and one future frame as references. In one example, a central processing unit (CPU) performs encoding of I frames and P frames of a video and a graphics processing unit (GPU) performs initial encoding of B frames of the video in connection with a fixed function video encoder configured to perform entropy encoding of the B frames.

Hybrid video encoder apparatus and methods

A method and apparatus of seam finding includes determining an overlap area between a first image and a second image. The first image is captured by a first image capturing device and the second image is captured by a second image capturing device. A plurality of seam paths for stitching the first image with the second image is computed and a cost is computed for each seam path. A seam is selected to stitch the first image to the second image based upon the cost for the seam path for that seam being less than a cost for all other computed seam paths, that seam is maintained as the selected seam for stitching based upon a predefined criteria.

Growing community of inventors

Cupertino, CA, United States of America

Michael L Schmit