Apple Inc.

Other

Applied Materials, Inc.

Robert T. and Virginia T. Jenkins

Next Computer, Inc.

Robert T. Jenkins and Virginia T. Jenkins

Washington University

Oregon Health & Science University

American District Telegraph Company

Pixar Animation Studios

Robert T. and Virginia T. Jenkins As Trustees of the Jenkins Family Trust Dated Feb. 8, 2002

Robert J. Jenkins and Virginia T. Jenkins

Crandall, Richard E.

Richard E Crandall

Rudolph Van Der Merwe

Bertrand Serlet

Jason Klivington

Karl Schiffmann

Alex Tremain Nelson

Douglas P Mitchell

Thomas Goossens

Thomas E Dowdy

Mark A Gesley

Evan T Jones

Ronald Keryuan Huang

Mark Zimmer

Mark J Andrews

Jeffrey Alan Bush

Samuel Noble

Daryl Mun-Kid Low

Tim Williams

Edlyn Teske

Stanislav Kounitski

Patrick Block Carlisle

Sam Noble

Ian C Hendry

Scott Peter Krueger

Aaron A Galvin

Guy Leslie Tribble

Mitchell Howard Oslick

Blaine Garst

Cedric Bray

Peter Pirogovsky

Richard L Lozes

Matthew J Jolley

Jerry Martyniuk

Michael W Vannier

Cédric Bray

David Anthony Kramer

Asher Klatchko

Sheldon P Apsell

Ulrich Hofmann

H Christopher Hamaker

David Jeremy Copeland

Paul M Weeks

Richard G Weleber

Scott P Gillespie

Brandon McPhail

A three-dimensional ('3D') avatar can be automatically created that resembles the physical appearance of an individual captured in one or more input images or video frames. The avatar can be further customized by the individual in an editing environment and used in various applications, including but not limited to gaming, social networking and video conferencing.

Automatic avatar creation

Embodiments of a data encryption and/or decryption technique are disclosed. In accordance with one example embodiment, a method may include enciphering a message, based at least in part, on a hierarchical symbol assignment system, and modifying an enciphering key signal value to modify a level of security of enciphering.

Data enciphering or deciphering using a hierarchical assignment system

Embodiments of methods and/or systems for sorting digital information are disclosed. In one particular embodiment, samples of a portion of digital information are associated with prime numerals. Such digital information may then be sorted based upon combinations of such digital information. In another example embodiment, a portion or sub-portion of a collection of digital information is converted to at least one sorting value. It should be understood, however, that these are merely example implementations and that claimed subject matter is not limited in this respect.

Method and/or system for sorting digital signal information

Embodiments of methods, apparatuses, devices and/or systems for manipulating character expressions to determine relationships among such character expressions.

Method and/or system for processing data streams

Embodiments of a data encryption and/or decryption technique are disclosed. Briefly, for example, in accordance with one example embodiment a method is provided. A message based at least in part on a hierarchical symbol assignment system is encrypted. The hierarchical symbol assignment system is represented as a numerical value.

Systems, methods and computer program products are disclosed for resampling a digital image. According to an implementation, a source image can be presharpened and upsampled to a first upsampled image having a specified image size and a first level of presharpening. The source image is also presharpened and upsampled to a second upsampled image having the specified image size and second level of presharpening that is less than the first level of presharpening. The first and second upsampled images are deblurred. A binary edge mask image is generated from the deblurred, upsampled images. The binary edge mask image is dilated and blurred to generate a deep mask image. The first and second, deblurred upsampled images are blended together using the deep mask image.

Digital image resampling

A system, method and computer-readable medium are disclosed that uses previously transmitted video frames and associated video frame content information to reduce the amount of information to be transmitted from a sending device to a receiving device during a video transmission.

Video transmission using content-based frame search

Methods, systems, and apparatus, including computer program products, for identifying regions of interest in an image and identifying a barcode in a degraded image are provided. A region of interest is identified by pre-processing an image, generating a binary image based on a metric calculated on the pre-processed image, and analyzing regions of the image identified using connected components and other analysis. A barcode is identified by searching a population of barcodes, degrading ideal image intensity profiles of candidate barcodes, and comparing the degraded ideal image intensity profiles to an image intensity profile of the degraded image.

Blurring based content recognizer

Psychovisual image compression techniques are disclosed that compress pixel data by a fixed compression ratio with little or no perceptual loss of detail. In some implementations, a psychovisual compression process is selected among several psychovisual compression processes based on characteristics of the pixel data. Compression is achieved during encoding by discarding psychovisually unnecessary bits from the pixel data. The psychovisual compression processes can be implemented in hardware and operate on scan lines of pixels captured by the image sensor. The psychovisual compression techniques can be used with image compression techniques to compress further the pixel data.

Psychovisual image compression

Method and/or system for comparing character expressions

Embodiments provide methods and systems for the modeling and analysis of visual fields. Methods for global and regional measurement of visual sensitivity and quantification of field loss are provided in accordance with various embodiments. Further embodiments provide systems and methods for the diagnosis of diseases affecting the visual field. In addition, embodiments provide methods and systems for measuring and quantifying the volume of the Hill of Vision for an individual subject.

Method and apparatus for visual field monitoring

Systems, methods and computer program products are disclosed for automatic image sharpening. Automatic image sharpening techniques are disclosed that automatically bring a blurred image into focus. Techniques for reducing edge ringing in sharpened images are also disclosed. According to implementations, a computer-implemented method includes determining a normalized entropy of a first image, calculating a correlation target based on the normalized entropy, automatically determining a blur radius of a de-convolution kernel that causes a cosine of a first radial power spectrum of the kernel and a second radial power spectrum of a reconstruction of the first image to approximate the correlation target and generating a second image based on the blur radius.

Automatic image sharpening using entropy-based blur radius

Growing community of inventors

Portland, OR, United States of America

Richard E Crandall