Qualcomm Incorporated

Interdigital Vc Holdings, Inc.

Vid Scale, Inc.

Saurav Bandyopadhyay

Yuwen He

Eliza Yingzi Du

Xiaoyu Xiu

Yan Ye

Kwokleung Chan

Jin Gu

Ming Yu Chen

Esra Vural

John Keith Schneider

Suryaprakash Ganti

David William Burns

Yong He

Srinivas Gudumasu

Noam Dagan

Ravit Dennis

Lior Barenboim

Lior David

Apparatus and methods for implementing a real-time Versatile Video Coding (VVC) decoder use multiple threads to address the limitation with existing parallelization techniques and fully utilizes the available CPU computation resource without compromising on the coding efficiency. The proposed Multi-threaded (MT) framework uses CTU level parallel processing techniques without compromising on the memory bandwidth. Picture level parallel processing separates the sequence into temporal levels by considering the picture's referencing hierarchy. Embodiments are provided using various optimization techniques to achieve real-time VVC decoding on heterogenous platforms with multi-core CPUs, for those bitstreams generated using a VVC reference encoder with a default configuration.

Methods and apparatus for performing real-time VVC decoding

Systems, methods, and instrumentalities are described herein for calculating local illumination compensation (LIC) parameters for bi-predicted coding unit (CU). The LIC parameters may be used to generate adjusted samples for the current CU and to address local illumination changes that may exist among temporal neighboring pictures. LIC parameters may be calculated based on bi-predicted reference template samples and template samples for a current CU. Bi-predicted reference template samples may be generated based on reference template samples neighboring temporal reference CUs. For example, the bi-predicted reference template samples may be generated based on averaging the reference template samples. The reference template samples may correspond to template samples for the current CU. A CU may be or may include a coding block and/or a sub-block that may be derived by dividing the coding block.

Motion compensated bi-prediction based on local illumination compensation

Procedures, methods, architectures, apparatuses, systems, devices, and computer program products directed to improved linear model estimation for template-based video coding are provided. Included therein is a method comprising determining minimum and maximum ('min/max') values of luma and chroma samples neighboring a coding block, wherein the min/max chroma values correspond to the min/max luma values; determining a first linear model parameter of a template-based video coding technique (i) based on a single look-up table and the min/max chroma values and (ii) at a precision no greater than 16 bits; determining a second linear model parameter of the template-based video coding technique (i) based on the first linear model parameter and the minimum chroma and luma values and (ii) at a precision no greater than 16 bits; and predicting chroma samples of the coding block based on reconstructed luma samples of the coding block and the first and second linear model parameters.

Methods, architectures, apparatuses and systems directed to improved linear model estimation for template based video coding

Systems, methods, and Instrumentalities are described herein for calculating local Illumination compensation (LIC) parameters for bi-predicted coding unit (CU). The LIC parameters may be used to generate adjusted samples for the current CU and to address local illumination changes that may exist among temporal neighboring pictures. LIC parameters may be calculated based on bi-predicted reference template samples and template samples for a current CU. Bi-predicted reference template samples may be generated based on reference template samples neighboring temporal reference CUs. For example, the bi-predicted reference template samples may be generated based on averaging the reference template samples. The reference template samples may correspond to template samples for the current CU. A CU may be or may include a coding block and/or a sub-block that may be derived by dividing the coding block.

Disclosed is an apparatus and method for automatically enabling a touchscreen of a mobile device based on detection of the presence of a human finger. A mobile device can capture an image of an object with a fingerprint sensor. The mobile device may then enable a touchscreen display of the mobile device in response to a determination that the object captured within the image is a specific type of object.

Method and apparatus for enabling the touchscreen display of a mobile device

An apparatus including an electronic device is configured with an ultrasonic touch sensor-based virtual button. The ultrasonic sensor is disposed behind a first portion of an exterior surface of the electronic device. A processor associated with one or both of the electronic device and the ultrasonic sensor is configured to: (i) process a signal received from the ultrasonic sensor so as to acquire image data of a surface or substance in contact with the first portion of the exterior surface; and (ii) make a first determination whether or not the acquired image data is related to an intended control touch on the first portion by determining whether or not the image data is characteristic of a fingerprint or a patterned stylus.

Ultrasonic touch sensor-based virtual button

A method of determining whether a biometric object is part of a live individual is described. In one such method, image information is acquired from the biometric object by using a sensor, such as an ultrasonic sensor. The image information may be analyzed in at least two analysis stages. One of the analysis stages may be a temporal analysis stage that analyzes changes in the image information obtained during a time period throughout which the biometric object was continuously available to the sensor. For example, a dead/alive stage may analyze differences between image information taken at two different times in order to identify changes from one time to the next. Other stages may focus on aspects of a particular image information set, rather than seeking to assess changes over time. These other stages seek to determine whether an image information set exhibits characteristics similar to those of a live biometric object.

Multi-stage liveness determination

A liveness-detection method and/or system is disclosed. A method of detecting liveness can comprise obtaining a single ultrasonic image of a biometric object. The single ultrasonic image can be subdivided into a plurality of overlapping sample blocks. Feature vectors can be extracted in a spatial domain and a frequency domain from each of the plurality of sample blocks. The feature vectors can be compared from each of the plurality of sample blocks to a classification model.

Image-based liveness detection for ultrasonic fingerprints

Methods, devices and systems for determining whether an object is detected by a scanner are disclosed. Fast-Fourier-Transforms ('FFT') are determined, modified and evaluated. Each FFT may be determined with regard to a subset of gain-compensated pixel-values corresponding to pixel-values of an acquired image.

Growing community of inventors

San Diego, CA, United States of America

Saurav Bandyopadhyay