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Jun Nishimura

from Sunnyvale, CA
Age ~50
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Connected to:
Aiko Nishimura, 41Chie Nishimura, 50Colleen Nishimura, 67Hideyuki Nishimura, 56Hitoshi H Nishimura, 80Iria T Nishimura, 63Kazuto Nishimura, 66Ken M Nishimura, 90Kevin I Nishimura, 44Kozo Nishimura, 76

Jun Nishimura Phones & Addresses

  • Sunnyvale, CA
  • Belmont, CA
  • San Jose, CA
  • Mountain View, CA

Resumes

Resumes

Jun Nishimura Photo 1

Web And Mobile Developer

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Location:
San Francisco Bay Area
Industry:
Internet
Jun Nishimura Photo 2

Financial Manager

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Industry:
Accounting
Work:
Og Corporation Apr 2007 - Sep 2010
Accountant
Ike Trading Apr 2007 - Sep 2010
Financial Manager
Education:
Ritsumeikan University 2005 - 2007
Masters, International Relations
Skills:
Accounting
Financial Reporting
Microsoft Excel
Financial Accounting
Account Reconciliation
Accounts Payable
Auditing
Budgets
Financial Analysis
General Ledger
Accounts Receivable
Microsoft Office
Microsoft Word
Internal Controls
Tax
Jun Nishimura Photo 3

At Asuka Laser Systems Inc.

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Location:
San Francisco Bay Area
Industry:
Medical Devices

Business Records

Name / Title
Company / Classification
Phones & Addresses
Jun Nishimura
President
Asuka Laser Systems, Inc
Mfg Electrical Equipment/Supplies
460 S California Ave, Palo Alto, CA 94306
20708 Celeste Cir, Cupertino, CA 95014
Jun Nishimura
President
I C SALES CORPORATION
20708 Celeste Cir, Cupertino, CA 95014

Publications

Us Patents

Histogram And Entropy-Based Texture Detection

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US Patent:
20190096073, Mar 28, 2019
Filed:
Jun 13, 2018
Appl. No.:
16/007500
Inventors:
- Santa Clara CA, US
Jun Nishimura - San Jose CA, US
Assignee:
Intel Corporation - Santa Clara CA
International Classification:
G06T 7/44
G06T 1/20
Abstract:
A mechanism is described for facilitating histogram and entropy-based texture detection in computing systems, according to one embodiment. A method of embodiments, as described herein, includes detecting an image of a scene, and computing multi-scale local binary pattern (LBP) image for the detected image based on a noise model associated with the detected image. The method may further include calculating a local histogram based the multi-scale LBP image, and calculating LBP entropy based on the local histogram. The method may further include applying a threshold to convert the LBP entropy into textureness of a texture map of the detected image for processing by an image signal processing (ISP) engine.

Processing Images Based On Generated Motion Data

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US Patent:
20170310909, Oct 26, 2017
Filed:
Apr 20, 2016
Appl. No.:
15/133455
Inventors:
- Santa Clara CA, US
Jun Nishimura - San Jose CA, US
Assignee:
Intel Corporation - Santa Clara CA
International Classification:
H04N 5/357
G06T 7/20
G06T 5/00
G06T 5/20
Abstract:
An example apparatus for image processing includes a motion-adaptive image enhancer to receive motion data and an image with reduced noise. The motion-adaptive image enhancer can process an occluded region of the image based on the motion data. The motion-adaptive image enhancer can generate an enhanced image.

Joint Edge Enhance Dynamic

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US Patent:
20170289404, Oct 5, 2017
Filed:
Mar 31, 2016
Appl. No.:
15/087668
Inventors:
- Santa Clara CA, US
Jun Nishimura - San Jose CA, US
International Classification:
H04N 1/58
G06T 5/00
Abstract:
A method and system for joint edge enhancement and mosaic are described. In one embodiment, the system comprises an image capture unit having an image capture sensor; and an image processor comprising a first module operable to perform joint edge enhancement and demosaic processing.

Motion Adaptive Stream Processing For Temporal Noise Reduction

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US Patent:
20170278225, Sep 28, 2017
Filed:
Mar 23, 2016
Appl. No.:
15/078735
Inventors:
- Santa Clara CA, US
Jun Nishimura - San Jose CA, US
International Classification:
G06T 5/00
G06T 3/40
G06T 5/10
Abstract:
Techniques related to temporal noise reduction of images are discussed. Such techniques may include generating a noise stream corresponding to an input image and adaptively re-combining the noise stream with a reference image corresponding to the input image and a spatially noise reduced image corresponding to the input image to generate a temporal noise reduced output image.

Scalable Rank Filter

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US Patent:
20160379348, Dec 29, 2016
Filed:
Sep 2, 2016
Appl. No.:
15/256059
Inventors:
Jun Nishimura - San Jose CA, US
International Classification:
G06T 5/10
H03H 17/02
Abstract:
A scalable rank filter and method for performing rank filtering are disclosed. In one embodiment, the rank filter comprises a W staged pipeline with W stages to receive N input data samples and operable to generate an output based on the N input data samples as a result of the W stages completing execution, where W is a bit length of the inputs and W and N are integers greater than two; and output logic coupled to the W staged pipeline to determine the output prior to all W stages completing execution and to output the median.

Systems And Methods For Proactive Media Data Sharing

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US Patent:
20150067150, Mar 5, 2015
Filed:
Jul 24, 2014
Appl. No.:
14/340014
Inventors:
- Suwon-si, KR
Shailendra Kumar - Fremont CA, US
Jun Nishimura - Sunnyvale CA, US
George Hsieh - Sunnyvale CA, US
Alan Messer - Los Gatos CA, US
International Classification:
H04L 29/06
G06F 3/0484
G06F 17/30
H04L 12/26
US Classification:
709224, 715716
Abstract:
In some embodiments, a computer implemented method, a system, and/or a non-transitory computer readable medium can receive an actionable rule that represents user intent to share media data. The actionable rule can be analyzed to determine a set of conditions and a set of actions included in the actionable rule. The actionable rule, including the set of conditions and the set of actions, can be stored in a rule database. Context data can be acquired from a context database. Whether or not the set of conditions is satisfied based on the acquired context data can be determined. The set of actions can be executed when the set of conditions is satisfied based on the acquired context data. In some cases, executing the set of actions can include, at least in part, initiating a sharing of the media data with at least one target system.
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Jun Nishimura from Sunnyvale, CA, age ~50 Get Report