Neil A Birkbeck

US Patent:

20220222784, Jul 14, 2022

Filed:

Mar 30, 2022

Appl. No.:

17/708983

Inventors:

- Mountain View CA, US
Neil Birkbeck - Santa Cruz CA, US
Mohammad Izadi - San Jose CA, US

International Classification:

G06T 5/00

Abstract:

Processing a spherical video using denoising is described. Video content comprising the spherical video is received. Whether a camera geometry or a map projection, or both, used to generate the spherical video is available is then determined. The spherical video is denoised using a first technique responsive to a determination that the camera geometry, the map projection, or both is available. Otherwise, the spherical video is denoised using a second technique. At least some steps of the second technique can be different from steps of the first technique. The denoised spherical video can be encoded for transmission or storage using less data than encoding the spherical video without denoising.

US Patent:

20210241426, Aug 5, 2021

Filed:

Dec 4, 2017

Appl. No.:

16/613932

Inventors:

- Mountain View CA, US
Neil Birkbeck - Santa Cruz CA, US
Mohammad Izadi - San Jose CA, US

Assignee:

Google LLC - Mountain View CA

International Classification:

G06T 5/00

Abstract:

A method for denoising video content includes identifying a first frame block associated with a first frame of the video content. The method also includes estimating a first noise model that represents characteristics of the first frame block. The method also includes identifying at least one frame block adjacent to the first frame block. The method also includes generating a second noise model that represents characteristics of the at least one frame block adjacent to the first frame block by adjusting the first noise model based on at least one characteristic of the at least one frame block adjacent to the first frame block. The method also includes denoising the at least one frame block adjacent to the first frame block using the second noise model.

US Patent:

20160092632, Mar 31, 2016

Filed:

Sep 25, 2014

Appl. No.:

14/496042

Inventors:

- Plano TX, US
Neil Birkbeck - Santa Cruz CA, US
Giorgio Di Guardia - Plainsboro NJ, US
Jingdan Zhang - Bellevue WA, US
Michal Sofka - Franklin Park NJ, US
James B. Thompson - St. Charles IL, US
Gianluca Paladini - Skillman NJ, US

International Classification:

G06F 19/00

Abstract:

A method for processing medical imaging data includes: (a) selecting a subset of medical imaging data to be processed, wherein the medical imaging data is stored in a cloud-based storage system; (b) choosing a processing algorithm to apply to the selected subset of medical imaging data, wherein the chosen processing algorithm is stored in the cloud-based storage system; (c) executing the chosen processing algorithm in the cloud-based storage system to generate a processing result; and (d) displaying the processing result to a client via a user interface. Systems for processing medical imaging data are described.

US Patent:

20150324999, Nov 12, 2015

Filed:

May 6, 2014

Appl. No.:

14/270624

Inventors:

- Munich, DE
Neil Birkbeck - Sunnyvale CA, US
Zhang Jingdan - Bellevue WA, US
Shaohua Kevin Zhou - Plainsboro NJ, US

Assignee:

Siemens Aktiengesellschaft - Munich

International Classification:

G06T 7/00
G06K 9/62

Abstract:

A method and system for fully automatic liver segmentation in a multi-channel magnetic resonance (MR) image is disclosed. An initial liver boundary in the multi-channel MR image, such as an MR Dixon scan. The segmented initial liver boundary in the multi-channel MR image is refined based on features extracted from multiple channels of the multi-channel MR image using a trained boundary detector. The features may be extracted from an opposed channel and a water channel of an MR Dixon scan.

US Patent:

20140086465, Mar 27, 2014

Filed:

Jul 30, 2013

Appl. No.:

13/953825

Inventors:

Dijia Wu - North Brunswick NJ, US
Neil Birkbeck - Sunnyvale CA, US
Michal Sofka - Franklin Park NJ, US
Meizhu Liu - Plainsboro NJ, US
Shaohua Kevin Zhou - Plainsboro NJ, US

Assignee:

SIEMENS PRODUCT LIFECYCLE MANAGEMENT SOFTWARE INC. - Plano TX

International Classification:

G06T 7/00

US Classification:

382131

Abstract:

Multiple object segmentation is performed for three-dimensional computed tomography. The adjacent objects are individually segmented. Overlapping regions or locations designated as belonging to both objects may be identified. Confidence maps for the individual segmentations are used to label the locations of the overlap as belonging to one or the other object, not both. This re-segmentation is applied for the overlapping local, and not other locations. Confidence maps in re-segmentation and application just to overlap locations may be used independently of each other or in combination.