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Chikai Jeffrey Ohazama

from San Francisco, CA
Age ~52

Chikai Ohazama Phones & Addresses

  • 356 Lexington St, San Francisco, CA 94110 (415) 643-9600 (408) 230-9406
  • 1907 Springer Rd, Mountain View, CA 94040 (650) 625-0159
  • 693 Barbara Ave, Mountain View, CA 94040
  • 718 Old San Francisco Rd, Sunnyvale, CA 94086 (408) 737-8224
  • Grand Rapids, MI
  • 2305 Snow Crest Trl, Durham, NC 27707 (919) 489-6174
  • Tallahassee, FL
  • 356 Lexington St, San Francisco, CA 94110 (650) 625-0159

Work

Company: Google Aug 2012 Address: San Francisco, CA Position: Director of product management, niantic labs

Education

Degree: Ph.D. School / High School: Duke University 1994 to 1998 Specialities: Biomedical Engineering

Awards

2010 Geological Society of America Presi... • National Geospatial-Intelligence Agency ... • Google Founders Award, Maps + Satellite ... • 1998 Computerworld Smithsonian Award in ...

Emails

Industries

Internet

Resumes

Resumes

Chikai Ohazama Photo 1

Director Of Product Management, Niantic Labs At Google

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Position:
Director of Product Management, Niantic Labs at Google
Location:
San Francisco Bay Area
Industry:
Internet
Work:
Google - San Francisco, CA since Aug 2012
Director of Product Management, Niantic Labs

Google - Mountain View, CA Mar 2011 - Aug 2012
Director of Product Management, Mobile Geo

Google - Mountain View, CA Nov 2007 - Mar 2011
Director of Product Management, Geo Monetization

Google - Mountain View, CA Jan 2006 - Nov 2007
Product Manager

Google - Mountain View, CA Oct 2004 - Jan 2006
Engineering Manager
Education:
Duke University 1994 - 1998
Ph.D., Biomedical Engineering
Vanderbilt University 1990 - 1994
B.E., Biomedical Engineering
Honor & Awards:
2010 Geological Society of America President’s Medal National Geospatial-Intelligence Agency "Hurricane Katrina Recognition Award" Google Founders Award, Maps + Satellite Launch, 2006 1998 Computerworld Smithsonian Award in Medicine, Finalist

Business Records

Name / Title
Company / Classification
Phones & Addresses
Chikai Ohazama
4DVIZ LLC
Software Development
220 Ware Rd, Redwood City, CA 94062

Publications

Us Patents

Methods, Systems, And Computer Program Products For Generating Tissue Surfaces From Volumetric Data Thereof Using Boundary Traces

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US Patent:
6545678, Apr 8, 2003
Filed:
Nov 5, 1998
Appl. No.:
09/186792
Inventors:
Chikai J. Ohazama - Sunnyvale CA
Assignee:
Duke University - Durham NC
International Classification:
G06T 1520
US Classification:
345427, 345420, 345421, 345424, 345581, 128916, 382154, 382128, 382131
Abstract:
Tomographic images, including a tissue surface, are selected from volumetric data to provide selected tomographic images, each of the selected tomographic images has a respective orientation with respect to the tissue surface. Manual input data is accepted to define a boundary of the tissue surface in each of the selected tomographic images to provide respective manual traces of the boundary of the tissue surface. A 3D view of the tissue surface is displayed and updated in real time based on the manual traces of the boundary of the tissue surface. A user, such as a cardiologist, may therefore be provided with a visualization of the tissue surface allowing a faster and more accurate diagnosis of the tissue condition.

Server For Geospatially Organized Flat File Data

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US Patent:
7225207, May 29, 2007
Filed:
Oct 10, 2002
Appl. No.:
10/270272
Inventors:
Chikai J Ohazama - Sunnyvale CA, US
Phillip C Keslin - San Jose CA, US
Mark A Aubin - Sunnyvale CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/30
US Classification:
707203, 7071041
Abstract:
A flat file data organization technique is used for storing and retrieving geospatially organized data. The invention reduces transfer time by transferring a few large files in lieu of a large number of small files. It also moves the process of locating a given data file away from the file system to a proprietary code base. Additionally, the invention simplifies database management by having quadtree packets generated on demand.

Web Based User Interface For Selecting Options

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US Patent:
7614018, Nov 3, 2009
Filed:
Feb 13, 2006
Appl. No.:
11/353316
Inventors:
Chikai J. Ohazama - Mountain View CA, US
Darren Delaye - San Francisco CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 3/00
US Classification:
715862, 715815
Abstract:
Icons can be combined to form toolbars such as those appearing on computer desktops and within application windows such as web browsers. Small icons are desired because desktop real estate is expensive. Small icons can be difficult to select or open because it can be hard to confirm which icon is indicated. An icon is indicated when the desktop cursor hovers over it. Altering the indicated icon provides good user feedback. Icons inside browser windows can be changed varying their size. Non-indicated icons can revert to a minimum size while an indicated one grows to a maximum size. Different images can be displayed for different sized icons, producing a more pleasing appearance. Alternatively, icons can be presented as display images produced by morphing two images together using morphing functions and icon weights. Morphing includes growing and shrinking as well as color changes, animating, and so forth.

Serving Geospatially Organized Flat File Data

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US Patent:
7818325, Oct 19, 2010
Filed:
May 17, 2007
Appl. No.:
11/750282
Inventors:
Chikai J. Ohazama - Sunnyvale CA, US
Phillip C. Keslin - San Jose CA, US
Mark A. Aubin - Sunnyvale CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/30
US Classification:
707743, 707754, 707756, 707787, 707796, 707797, 707809, 707919, 707921
Abstract:
A flat file data organization technique is used for storing and retrieving geospatially organized data. The invention reduces transfer time by transferring a few large files in lieu of a large number of small files. It also moves the process of locating a given data file away from the file system to a proprietary code base. Additionally, the invention simplifies database management by having quadtree packets generated on demand.

Large-Scale Image Processing Using Mass Parallelization Techniques

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US Patent:
7965902, Jun 21, 2011
Filed:
May 19, 2006
Appl. No.:
11/437553
Inventors:
Stephen D. Zelinka - Mountain View CA, US
Emil C. Praun - Fremont CA, US
Chikai J. Ohazama - Mountain View CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06K 9/36
H04N 5/225
US Classification:
382284, 3482181
Abstract:
Assets of raw geo-located imagery can be divided into tiles and coverage masks can be generated for each tile. For each tile, fragments of pixels from coverage masks of neighboring tiles can be extracted and tagged. The fragments can be sorted and stored in a data structure so that fragments having the same tag can be grouped together in the data structure. The fragments can be used to feather the coverage mask of the tile to produce a blend mask. Multi-resolution imagery and mask pyramids can be generated by extracting fragments from tiles and minified (e. g. , down-sampled). The minified fragments can be tagged (e. g. , by ancestor tile name), sorted and stored in a data structure, so that fragments having like tags can be stored together in the data structure. The fragments can be assembled into fully minified tiles for each level in the pyramid. Input tiles in a first projection are re-projected into a second projection using techniques that minimize distortion in the re-projected imagery.

Large-Scale Image Processing Using Mass Parallelization Techniques

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US Patent:
8270741, Sep 18, 2012
Filed:
Jun 13, 2011
Appl. No.:
13/159218
Inventors:
Stephen D. Zelinka - Mountain View CA, US
Emil C. Praun - Fremont CA, US
Chikai J. Ohazama - Mountain View CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06K 9/48
G06K 9/68
H04N 5/225
US Classification:
382240, 382226, 3482181
Abstract:
Assets of raw geo-located imagery can be divided into tiles and coverage masks can be generated for each tile. For each tile, fragments of pixels from coverage masks of neighboring tiles can be extracted and tagged. The fragments can be sorted and stored in a data structure so that fragments having the same tag can be grouped together in the data structure. The fragments can be used to feather the coverage mask of the tile to produce a blend mask. Multi-resolution imagery and mask pyramids can be generated by extracting fragments from tiles and minified (e. g. , down-sampled). The minified fragments can be tagged (e. g. , by ancestor tile name), sorted and stored in a data structure, so that fragments having like tags can be stored together in the data structure. The fragments can be assembled into fully minified tiles for each level in the pyramid. Input tiles in a first projection are re-projected into a second projection using techniques that minimize distortion in the re-projected imagery.

Method For Generating Location Targeted, Keyword-Triggered, Ads And Generating User Recallable Layer-Based Ads

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US Patent:
8306973, Nov 6, 2012
Filed:
Apr 6, 2009
Appl. No.:
12/418968
Inventors:
Chikai J. Ohazama - San Francisco CA, US
Joshua Sacks - San Carlos CA, US
Sanjay Gajanan Mavinkurve - Toronto, CA
Amin P. Charaniya - Santa Clara CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/00
US Classification:
707724, 707743
Abstract:
Location-specific content is automatically generated for a particular entity having a plurality of physical locations. Database entries that contain identifying data associated with the particular entity are searched for to obtain location information of each of the plurality of physical locations. The location information, in correlation with one or more keywords associated with the particular entity, is stored in a computer-readable electronic database such that a user-generated query that includes at least one of the keywords and a search location causes a processor to execute operations that initiates a search of the computer-readable electronic database for the location information of the physical locations that are in proximity to the search location. At least one result that is displayable to the user is provided.

Large-Scale Image Processing Using Mass Parallelization Techniques

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US Patent:
8346016, Jan 1, 2013
Filed:
Jun 13, 2011
Appl. No.:
13/159216
Inventors:
Stephen D. Zelinka - Mountain View CA, US
Emil C. Praun - Fremont CA, US
Chikai J. Ohazama - Mountain View CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06K 9/36
H04N 5/225
US Classification:
382284, 3482181
Abstract:
Assets of raw geo-located imagery can be divided into tiles and coverage masks can be generated for each tile. For each tile, fragments of pixels from coverage masks of neighboring tiles can be extracted and tagged. The fragments can be sorted and stored in a data structure so that fragments having the same tag can be grouped together in the data structure. The fragments can be used to feather the coverage mask of the tile to produce a blend mask. Multi-resolution imagery and mask pyramids can be generated by extracting fragments from tiles and minified (e. g. , down-sampled). The minified fragments can be tagged (e. g. , by ancestor tile name), sorted and stored in a data structure, so that fragments having like tags can be stored together in the data structure. The fragments can be assembled into fully minified tiles for each level in the pyramid. Input tiles in a first projection are re-projected into a second projection using techniques that minimize distortion in the re-projected imagery.
Chikai Jeffrey Ohazama from San Francisco, CA, age ~52 Get Report