The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 18, 2016

Filed:

Dec. 02, 2014
Applicant:

Google Inc., Mountain View, CA (US);

Inventors:

David Robert Gallup, Bothell, WA (US);

Ricardo Martin Brualla, Seattle, WA (US);

Steven Maxwell Seitz, Seattle, WA (US);

Assignee:

Google Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01); G06F 3/0481 (2013.01); G06F 3/0484 (2013.01); G01C 21/26 (2006.01); G09B 29/00 (2006.01); G06T 19/00 (2011.01); G06T 17/05 (2011.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
G06F 17/30873 (2013.01); G01C 21/26 (2013.01); G06F 3/0481 (2013.01); G06F 3/04847 (2013.01); G06F 17/30041 (2013.01); G06F 17/30047 (2013.01); G06F 17/30061 (2013.01); G06F 17/3087 (2013.01); G06F 3/0484 (2013.01); G06F 17/3053 (2013.01); G06F 17/30056 (2013.01); G06F 17/30058 (2013.01); G06F 17/30064 (2013.01); G06F 17/30781 (2013.01); G06F 2216/07 (2013.01); G06K 9/00664 (2013.01); G06T 17/05 (2013.01); G06T 19/00 (2013.01); G06T 2200/24 (2013.01); G06T 2200/32 (2013.01); G09B 29/008 (2013.01); Y10S 707/918 (2013.01);
Abstract

Aspects of the disclosure relate to generating a sequence of images or other visual representations associated with an entity, otherwise known as a semantic image navigation experience. After an entity is selected, a set of sub-entities may be identified. Each sub-entity in the set has a containment relationship with the selected entity as well as at least one associated landmark and one associated pre-stored navigation experience. Then, a ranking order of the sub-entities in the set may be determined based on characteristics of each entity. Based on the determined ranking order, a subset of sub-entities may be selected. A semantic image navigation experience for the selected entity may then be generated using the pre-stored navigation experiences associated with the subset of sub-entities.


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