IP Library Granted Patent US 9,805,428
Granted Patent B2
US 9,805,428 · App. 15/280,080 · Granted Oct 31, 2017

Selecting photographs for a destination or point of interest

Inventors: Barnaby John James (San Jose, CA); Bala Venkata Sai Ravi Krishna Kolluri (Fremont, CA)
Assignee: GOOGLE INC.
G06Q50/14G01C21/3679G06F17/30241G06F17/30247G06K9/6267G06Q30/0625G06Q30/0627G06T7/11G06T11/60G06F17/30861G06T17/05
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Quick Facts
Patent No.
US 9,805,428
App. No.
15/280,080
Granted
Oct 31, 2017
Kind
B2
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for computerized travel services. One of the methods includes identifying photographs using an index of photographs, the photographs being identified from the index as photographs geographically related to a point of interest or destination and having a creation timestamp corresponding to a time of the year; determining for each of the photographs, a relevancy score based at least in part on: selection success data of the photograph for image queries referring to the point of interest or destination, and references to the point of interest or destination in documents associated with the photograph; and selecting a selected photograph from the photographs based at least in part on a respective visual quality score and the respective relevancy scores, the visual quality score representing a degree of visual quality of the respective photographs.

Claims (45)

1. A method, comprising:

receiving, using one or more computing devices and from a user computing device, a search query comprising data indicative of a point of interest;

retrieving, using the one or more computing devices, geographic data comprising a logical hierarchy of terms indicating relationships between one or more geographic destinations or points of interest including at least the point of interest;

identifying, using the one or more computing devices, a plurality of photographs using an index of photographs, the plurality of photographs being identified from the index as photographs geographically related to the point of interest;

determining for each of the plurality of photographs, using the one or more computing devices, a relevancy score based at least in part on references to the point of interest in documents associated with the photograph, wherein determining references to the point of interest that are associated with the photograph comprises:

identifying electronic documents associated with the photograph based on one or more criteria; and

determining which of the documents associated with the photograph reference the point of interest, wherein a document is determined to reference the point of interest when the document comprises terms that are relevant to the point of interest identified from the geographic data comprising the logical hierarchy of terms; and

selecting, using the one or more computing devices, a particular photograph from the plurality of photographs based at least in part on a respective relevancy score for each photograph;

providing, using the one or more computing devices and to the user computing device, the particular photograph in response to the search query for presentation of the particular photograph via the user computing device.

2. The method of claim 1 , wherein the plurality of photographs is identified according to temporal metadata and geographic metadata.

3. The method of claim 1 , wherein each of the plurality of photographs is associated with a respective geographic location that is within a threshold distance of the point of interest.

4. The method of claim 1 , wherein the relevancy score is based further in part on selection success data comprising click-through data or explicit feedback data.

5. The method of claim 1 , wherein the plurality of photographs are identified based at least in part on photograph clustering using non-geographic and geographic metadata.

6. The method of claim 1 , wherein each of the image queries referring to the point of interest includes a term or terms associated with the point of interest.

7. The method of claim 1 , wherein the documents comprise web pages, pages in a social network, or pages in a photo sharing service.

8. The method of claim 1 , wherein the selection success data of the photograph is for image queries that refer to an activity or the point of interest and the references in documents associated with the photograph are to the point of interest or the activity.

9. The method of claim 1 , wherein the particular photograph from the plurality of photographs is selected further based at least in part on a respective visual quality score for each photograph, wherein the visual quality score is based at least in part on at least one of an exposure rating, a color or saturation rating, a clarity rating, a photographer rating, a camera rating, or a user feedback rating.

10. The method of claim 1 , wherein the respective relevancy scores are based at least in part on computer image recognition of an object associated with the point of interest.

11. A system, comprising:

one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:

receiving a search query comprising data indicative of a point of interest;

retrieving geographic data comprising a logical hierarchy of terms indicating relationships between one or more geographic destinations or points of interest including at least the point of interest;

identifying, a plurality of photographs using an index of photographs, the plurality of photographs being identified from the index as photographs geographically related to the point of interest and having a creation timestamp corresponding to the time of the year;

determining for each of the plurality of photographs, by operation of the system, a relevancy score based at least in part on references to the point of interest in documents associated with the photograph, wherein determining references to the point of interest that are associated with the photograph comprises:

identifying electronic documents associated with the photograph based on one or more criteria; and

determining which of the documents associated with the photograph reference the point of interest, wherein a document is determined to reference the point of interest when the document comprises terms that are relevant to the point of interest identified from the geographic data comprising the logical hierarchy of terms; and

selecting a particular photograph from the plurality of photographs based at least in part on a respective relevancy score for each photograph; and

providing, to the user computing device, the particular photograph in response to the search query for presentation of the particular photograph via the user computing device.

12. The system of claim 11 , wherein the plurality of photographs is identified according to temporal metadata and geographic metadata.

13. The system of claim 11 , wherein each of the plurality of photographs are associated with a respective geographic location that is within a threshold distance of the point of interest.

14. The system of claim 11 , wherein the relevancy score is based further in part on selection success data comprising click-through data or explicit feedback data.

15. The system of claim 11 , wherein each of the image queries referring to the point of interest includes a term or terms associated with the point of interest.

16. The system of claim 11 , wherein the documents comprise web pages, pages in a social network, or pages in a photo sharing service.

17. The system of claim 11 , wherein selection success data of the photograph is for image queries that refer to an activity or the point of interest and the references in documents associated with the photograph are to the point of interest or the activity.

18. The system of claim 11 , wherein the particular photograph from the plurality of photographs is selected further based at least in part on a respective visual quality score, wherein the visual quality score is based at least in part on one or more of an exposure rating, a color or saturation rating, a clarity rating, a photographer rating, a camera rating, or a user feedback rating.

19. The system of claim 11 , wherein the respective relevancy scores are based further at least in part on computer image recognition of an object associated with the point of interest.

20. A non-transitory computer-readable storage medium encoded with computer-executable instructions that, when executed by one or more computers, cause the one or more computers to perform operations, the computer-executable instructions comprising:

computer executable instructions to receive a search query comprising data indicative of a point of interest;

computer executable instructions to retrieve geographic data comprising a logical hierarchy of terms indicating relationships between one or more geographic destinations or points of interest including at least the point of interest;

computer executable instructions to identify a plurality of photographs using an index of photographs, the plurality of photographs being identified from the index as photographs geographically related to the point of interest;

computer executable instructions to determine, for each of the plurality of photographs, a relevancy score based at least in part on references to the point of interest in documents that are associated with the photograph, wherein determining references to the point of interest that are associated with the photograph comprises:

identifying electronic documents associated with the photograph based on one or more criteria; and

determining which of the documents associated with the photograph reference the point of interest, wherein a document is determined to reference the point of interest when the document comprises terms that are relevant to the point of interest identified from the geographic data comprising the logical hierarchy of terms; and

computer executable instructions to select a particular photograph from the plurality of photographs based at least in part on the respective relevancy score for each photograph; and

computer-executable instructions to provide to the user computing device, the particular photograph in response to the search query for presentation of the particular photograph via the user computing device.

Assignments (2)
CHANGE OF NAME Recorded Oct 5, 2017
From: GOOGLE INC.
To: GOOGLE LLC
Reel/Frame 044129/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 29, 2016
From: JAMES, BARNABY JOHN; KOLLURI, BALA VENKATA SAI RAVI KRISHNA
To: GOOGLE INC.
Reel/Frame 039900/0963 →
Continuity (2)
Continuation 13853996 · Mar 29, 2013
Related Publication 20170018044A1 · Jan 19, 2017