ジオロケーションの予測のためのシステムおよび方法

Title:

ジオロケーションの予測のためのシステムおよび方法

Document Type and Number:

Japanese Patent JP7335274

Kind Code:

B2

Abstract:

In one example embodiment, a computer-implemented method for extracting information from imagery includes obtaining data representing a sequence of images, at least one of the sequence of images depicting an object. The method includes inputting the sequence of images into a machine-learned information extraction model that is trained to extract location information from the sequence of images. The method includes obtaining as an output of the information extraction model in response to inputting the sequence of images, data representing a real-world location associated with the object depicted in the sequence of images.

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Inventors:

Alexander Gorban
Yanshan Wu

Application Number:

JP2020566225A

Publication Date:

August 29, 2023

Filing Date:

January 10, 2019

Export Citation:

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Assignee:

Google LLC

International Classes:

G06T7/00; G06N3/08; G06N20/00; G06V10/82; G06V20/40; G06V20/70

Domestic Patent References:

JP2009251793A

Other References:

Tobias Weyand, Ilya Kostrikov, James Philbin,"PlaNet - Photo Geolocation with Convolutional Neural Networks",Computer Vision - ECCV 2016,European Conference on Computer Vision,2016年10月11日,PP.37-55,https://link.springer.com/content/pdf/10.1007/978-3-319-46484-8_3.pdf

Attorney, Agent or Firm:

Yasuhiko Murayama
Shinya Mihiro
Tatsuhiko Abe

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