Google Inc.

Kong Man Cheung

Andrea Lynn Frome

Bo Wu

Alessandro Bissacco

Raymond W Smith

Shlomo Reuben Urbach

Marco Zennaro

Luc Vincent

Hartmut Neven

Hartwig Adam

Brian Edmond Brewington

Morten Just Petersen

Ahmad A Abdulkader

Mark A Limber

Sacha Christophe Arnoud

Igor V Guskov

Julian Ibarz

Liron Yatziv

Peter Hamel

David John Abraham

A system and method is provided for automatically recognizing building numbers in street level images. In one aspect, a processor selects a street level image that is likely to be near an address of interest. The processor identifies those portions of the image that are visually similar to street numbers, and then extracts the numeric values of the characters displayed in such portions. If an extracted value corresponds with the building number of the address of interest such as being substantially equal to the address of interest, the extracted value and the image portion are displayed to a human operator. The human operator confirms, by looking at the image portion, whether the image portion appears to be a building number that matches the extracted value. If so, the processor stores a value that associates that building number with the street level image.

System and method of determining building numbers

Embodiments of this invention relate to detecting and blurring images. In an embodiment, a system detects objects in a photographic image. The system includes an object detector module configured to detect regions of the photographic image that include objects of a particular type at least based on the content of the photographic image. The system further includes a false positive detector module configured to determine whether each region detected by the object detector module includes an object of the particular type at least based on information about the context in which the photographic image was taken.

Object detection with false positive filtering

According to one aspect, embodiments of the invention provide a system and method for utilizing the effort expended by a user in responding to a CAPTCHA request to automatically transcribe text from images in order to verify, retrieve and/or update geographic data associated with geographic locations at which the images were recorded.

System and method for updating geographic data

Systems and methods for updating geographic data based on a transaction are provided. In some aspects, one or more transaction records associated with a business are accessed from a memory. Each transaction record identifies a transaction time, geographic location data, and transaction information. A geocoded record of the business is selected to update, based on the geographic location data of the one or more transaction records. The selected geocoded record is updated based on at least one of the transaction time or the transaction information identified in the transaction records.

Updating geographic data based on a transaction

Systems and methods for ranking geographic features in a geographic information system are provided. In particular, geographic features can be assigned ranking scores based on characteristics of viewsheds associated with the geographic features. In particular, characteristics of a viewshed associated with a geographic feature can be analyzed to assess the visibility of the geographic feature. A ranking score can be assigned to the geographic feature based on the characteristics of the viewshed. The ranking score can be used prioritize information in a geographic information system.

System and method for ranking geographic features using viewshed analysis

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San Francisco, CA, United States of America

Kong Man Cheung