Google Inc.

Duke University

Chikai J Ohazama

Emil Constantin Praun

Stephen David Zelinka

Mark A Aubin

Phillip Craig Keslin

Joshua J Sacks

Amin Charaniya

Sanjay Gajanan Mavinkurve

Darren Delaye

Chia-Nee Michelle Chen

Philip C Keslin

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.

Method for generating location targeted, keyword-triggered, ads and generating user recallable layer-based ads

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.

Server geospatially organized flat file data

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.

Large-scale image processing using mass parallelization techniques

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 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.

User interface for selecting options

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.

Serving geospatially organized flat file data

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.

Web based user interface for selecting options

Server for geospatially organized flat file data

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.

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Mountain View, CA, United States of America

Chikai J Ohazama