Qualcomm Incorporated

Pawan Kumar Baheti

Harinath Garudadri

Ajit Deepak Gupte

Ajit Venkat Rao

Kishor Kumar Barman

Pushkar Gorur Sheshagiri

Vinay Melkote Krishnaprasad

Sandeep Kanakapura Lakshmikantha

Sudipto Banerjee

Hemanth Acharya

Dhananjay Ashok Gore

Somdeb Majumdar

Raj Kumar Krishna Kumar

Murali Chari

Ashwin Deepak Swaminathan

Naveen Srinivasamurthy

Raghuraman Krishnamoorthi

Vidya Narayanan

Serafin Diaz Spindola

Chiranjib Choudhuri

Bolan Jiang

Piyush Sharma

Yuejie Chi

Rajiv Soundararajan

Chong U Lee

Yuriy Reznik

John Hyunchul Hong

Jason Frank Hunzinger

Bojan Vrcelj

Te-Won Lee

Ming-Chang Tsai

Shilpi Sahu

Anthony Sarah

Narendranath Malayath

Onur Canturk Hamsici

Mahant Siddaramanna

Hyung-Il Koo

Sanjeev Kumar

Sundeep Vaddadi

Padmapriya Jagannathan

Apoorva Nagarajan

Sagar Ravindra Kalbande

Tushit Jain

Uday Kiran Pudipeddi

Abhijeet S Bisain

Senthilkumar Sundaram

Ankit Agarwal

Prasant Shekhar Singh

Aarrushi Shandilya

Murali R Chari

Methods, devices, and apparatuses are provided to facilitate a positioning of an item of virtual content in an extended reality environment. For example, a placement position for an item of virtual content can be transmitted to one or more of a first device and a second device. The placement position can be based on correlated map data generated based on first map data obtained from the first device and second map data obtained from the second device. In some examples, the first device can transmit the placement position to the second device.

Content positioning in extended reality systems

Certain aspects of the present disclosure relate to a method for compressed sensing (CS). The CS is a signal processing concept wherein significantly fewer sensor measurements than that suggested by Shannon/Nyquist sampling theorem can be used to recover signals with arbitrarily fine resolution. In this disclosure, the CS framework is applied for sensor signal processing in order to support low power robust sensors and reliable communication in Body Area Networks (BANs) for healthcare and fitness applications.

Wearable system for capturing and transmitting biomedical signals

Techniques and systems are provided for light estimation. In some examples, a system receives a plurality of frames associated with a scene. The plurality of frames includes a first frame and a second frame occurring after the first frame. The system determines, based on image data of the first frame, a first light estimate associated with the scene. The system also determines, based on image data of the second frame, a second light estimate associated with the scene. The system further generates an aggregate light estimate associated with the scene based on combining the second light estimate with at least the first light estimate.

Mechanism for improved light estimation

Systems and techniques are described for data encoding using a machine learning approach to generate a distortion prediction {circumflex over (D)} and a predicted bit rate {circumflex over (R)}, and to use {circumflex over (D)} and {circumflex over (R)} to perform rate-distortion optimization (RDO). For example, a video encoder can generate the distortion prediction {circumflex over (D)} and the bit rate residual predictionbased on outputs of the one or more neural networks in response to the one or more neural networks receiving a residual portion of a block of a video frame as input. The video encoder can determine bit rate metadata predictionbased on metadata associated with a mode of compression, and determine {circumflex over (R)} to be the sum ofand. The video encoder can determine a rate-distortion cost prediction &#x134; as a function of {circumflex over (D)} and {circumflex over (R)}, and can determine a prediction mode for compressing the block based on &#x134;.

Machine learning based rate-distortion optimizer for video compression

The present disclosure relates to methods and apparatus for graphics processing. In some aspects, the apparatus may receive, by a first device from a second device, first position information corresponding to a first orientation of the second device. The apparatus can also generate, by the first device, first graphical content based on the first position information. Further, the apparatus can also generate, by the first device, motion information for warping the first graphical content. The apparatus can also encode, by the first device, the first graphical content. Additionally, the apparatus can provide, by the first device to the second device, the motion information and the encoded first graphical content.

Asynchronous space warp for remotely rendered VR

A method and a system for warping a rendered frame is disclosed. On a host device of a split-rendering system, the method includes generating the rendered frame based on head tracking information of a user. The method also includes identifying a region of interest (ROI) of the rendered frame. The method also includes generating metadata for a warping operation from the ROI. The method further include transmitting the rendered frame and the metadata for a warping operation of the rendered frame. On a client device of the split-rendering system, the method includes transmitting head tracking information of a user by a client device. The method also includes receiving the rendered frame and metadata. The method further includes warping the rendered frame using the metadata and display pose information. The host device and the client device may be combined into an all-in-one head mounted display.

Asynchronous time and space warp with determination of region of interest

Certain aspects of the present disclosure relate to a wearable system including one or more wearable acquisition devices. Each acquisition device includes a sensor to capture samples of a biomedical signal and circuitry to process the samples for transmission to a mobile device. The samples are encoded for transmission and decoded at the mobile device to reconstruct the biomedical signal and, based on the reconstructed biomedical signal, provide output through a user interface of the mobile device. The wearable system includes at least an acquisition device for capturing an electro-cardiogram signal (ECG). Other biomedical signals, such as a photoplethysmograph (PPG) signal, may also be captured. The wearable system may comprise a Body Area Network (BAN).

Methods, devices, and apparatuses are provided to facilitate a positioning of an item of virtual content in an extended reality environment. For example, a first user may access the extended reality environment through a display of a mobile device, and in some examples, the methods may determine positions and orientations of the first user and a second user within the extended reality environment. The methods may also determine a position for placement of the item of virtual content in the extended reality environment based on the determined positions and orientations of the first user and the second user, and perform operations that insert the item of virtual content into the extended reality environment at the determined placement position.

Extended reality virtual assistant

A wearable display device is described that is connected to a host device. The wearable display device includes one or more sensors configured to generate eye pose data indicating a user's field of view, one or more displays, and one or more processors. The one or more processors are configured to output a representation of the eye pose data to the host device and extract one or more depth values for a rendered frame from depth data output by the host device. The rendered frame is generated using the eye pose data. The one or more processors are further configured to modify one or more pixel values of the rendered frame using the one or more depth values to generate a warped rendered frame and output, for display at the one or more displays, the warped rendered frame.

Asynchronous time warp with depth data

Example techniques are described for image processing. Processing circuitry may warp image content of a previous frame based on pose information of a device when the device requested image content information of the previous frame and pose information of the device when the device requested image content information of a current frame to generate warped image content, and blend image content from the warped image content with image content of the current frame to generate an error concealed frame. A display screen may display image content based on the error concealed frame.

Error concealment in virtual reality system

Techniques are described in which a device is configured to determine an overlap region between a first image and a second image, determine a first histogram based on color data included in the first image that corresponds to the overlap region, and determine a second histogram based on color data included in the second image that corresponds to the overlap region. The processor is further configured to determine, based on the first and second histograms, a mapping function that substantially maps the second histogram to the first histogram and apply the mapping function to the second image to generate a normalized second image with respect to the first image.

Color normalization for a multi-camera system

Methods, systems, and devices for split rending of multiple graphic layers are described. An extended reality (XR) system may include a processing device that generates and renders multiple graphic layers and a display device that displays the graphic layers to create a virtual environment. The processing device may divide the multiple graphic layer into sets of graphic layers and composite each set into a composite layer for transmission to the display device over a respective stream. Each group of graphic layers may include graphic layers of the same type that are consecutively ordered with respect to their Z orders and that have similar frame rates.

Method for supporting multiple layers in split rendering

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Bengaluru, India

Pawan Kumar Baheti