Dynamic attraction inference in route recommendations

• US 9,816,828 B2
• Filed: 11/22/2016
• Issued: 11/14/2017
• Est. Priority Date: 09/29/2014
• Status: Expired due to Fees

• Current Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.), International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Chang, Billy W., Rakshit, Sarbajit K.
• Primary Examiner(s): MELTON, TODD M
• Application Number:
  US15/359,356
• Publication Number:
  US 20170074674A1
• Time in Patent Office: 357 Days
• CPC Class Codes: G01C 21/3623 using a camera or code reader, e.g. for optical or magnetic codes
• CPC Class Codes: G06F 3/04842 Selection of displayed objects or displayed text elements G06F3/0482 takes precedence
• CPC Class Codes: G06T 11/60 Editing figures and text; Combining figures or text
• CPC Class Codes: G06T 7/35 using statistical methods
• CPC Class Codes: G06T 7/70 Determining position or orientation of objects or cameras camera calibration G06T7/80
• CPC Class Codes: G06V 20/35 Categorising the entire scene, e.g. birthday party or wedding scene
• CPC Class Codes: G06V 20/38 Outdoor scenes
• CPC Class Codes: G06V 20/39 Urban scenes
• CPC Class Codes: G06V 20/53 Recognition of crowd images, e.g. recognition of crowd congestion

Abstract

A set of images that each include a comparable date, time, and location of image capture, and a directional bearing of image capture are correlated. The directional bearing of image capture specifies a direction of image capture relative to the respective location of image capture of each image. By analysis of image content within the correlated images, a determination is made that the correlated images include different directional representations of a single event, and that the single event is distinct from static fixed-location points of interest. Using the directional bearing of image capture of each correlated image, a location of an intersection region that results from intersecting directional bearings of image capture of the correlated images is identified as a dynamic attraction.

Claims

1. A method, comprising:

correlating a plurality of images that each comprise a comparable date, time, and location of image capture, and that each further comprise a directional bearing of image capture specified relative to a respective location of image capture of each image;

determining, by analysis of image content within the correlated images, that the correlated images comprise different directional representations of a single event that is distinct from static fixed-location points of interest; and

identifying as a dynamic attraction, using the directional bearing of image capture of each correlated image, a location of an intersection region that results from intersecting directional bearings of image capture of the correlated images.

2. The method of claim 1, further comprising:

determining a popularity of the dynamic attraction based upon how many different users captured the correlated plurality of images used to identify the dynamic attraction; and

providing the dynamic attraction with the determined popularity as a dynamic event recommendation in association with a recommended travel route near the intersection region.

3. The method of claim 1, further comprising:

determining, by analysis of image content of additional correlated images, that additional directional representations of the single event are associated with different comparable times and locations of image capture; and

adjusting the dynamic attraction to a new location of a new intersection region that results from intersecting directional bearings of image capture of the additional correlated images.

4. The method of claim 1, further comprising:

determining, by analysis of image content of additional correlated images, that additional current representations of the single event are not available in association with the dynamic attraction; and

removing the dynamic attraction from a list of available dynamic attractions.

5. The method of claim 1, further comprising providing a map display view of available travel routes comprising the dynamic attraction identified by the location of the intersection region.

6. The method of claim 5, further comprising:

providing a hypertext link within the map display view to at least one of the correlated images within a travel route recommendation in response to a request for a travel route from a user that travels near the dynamic attraction; and

providing image content from the at least one of the correlated images in response to a user selection of the provided hypertext link.

7. The method of claim 1, further comprising differentiating any static fixed-location points of interest in the image content of the correlated plurality of images from the identified dynamic attraction.

8. A system, comprising:

a memory; and

a processor programmed to;

correlate, within the memory, a plurality of images that each comprise a comparable date, time, and location of image capture, and that each further comprise a directional bearing of image capture specified relative to a respective location of image capture of each image;

determine, by analysis of image content within the correlated images, that the correlated images comprise different directional representations of a single event that is distinct from static fixed-location points of interest; and

identify as a dynamic attraction, using the directional bearing of image capture of each correlated image, a location of an intersection region that results from intersecting directional bearings of image capture of the correlated images.

9. The system of claim 8, where the processor is further programmed to:

determine a popularity of the dynamic attraction based upon how many different users captured the correlated plurality of images used to identify the dynamic attraction; and

provide the dynamic attraction with the determined popularity as a dynamic event recommendation in association with a recommended travel route near the intersection region.

10. The system of claim 8, where the processor is further programmed to:

determine, by analysis of image content of additional correlated images, that additional directional representations of the single event are associated with different comparable times and locations of image capture; and

adjust the dynamic attraction to a new location of a new intersection region that results from intersecting directional bearings of image capture of the additional correlated images.

11. The system of claim 8, where the processor is further programmed to:

determine, by analysis of image content of additional correlated images, that additional current representations of the single event are not available in association with the dynamic attraction; and

remove the dynamic attraction from a list of available dynamic attractions.

12. The system of claim 8, where the processor is further programmed to:

provide a map display view of available travel routes comprising the dynamic attraction identified by the location of the intersection region;

provide a hypertext link within the map display view to at least one of the correlated images within a travel route recommendation in response to a request for a travel route from a user that travels near the dynamic attraction; and

provide image content from the at least one of the correlated images in response to a user selection of the provided hypertext link.

13. The system of claim 8, where the processor is further programmed to differentiate any static fixed-location points of interest in the image content of the correlated plurality of images from the identified dynamic attraction.

14. A computer program product, comprising:

a computer readable storage medium having computer readable program code embodied therewith, where the computer readable program code when executed on a computer causes the computer to;

correlate a plurality of images that each comprise a comparable date, time, and location of image capture, and that each further comprise a directional bearing of image capture specified relative to a respective location of image capture of each image;

determine, by analysis of image content within the correlated images, that the correlated images comprise different directional representations of a single event that is distinct from static fixed-location points of interest; and

identify as a dynamic attraction, using the directional bearing of image capture of each correlated image, a location of an intersection region that results from intersecting directional bearings of image capture of the correlated images.

15. The computer program product of claim 14, where the computer readable program code when executed on the computer further causes the computer to:

determining a popularity of the dynamic attraction based upon how many different users captured the correlated plurality of images used to identify the dynamic attraction; and

provide the dynamic attraction with the determined popularity as a dynamic event recommendation in association with a recommended travel route near the intersection region.

16. The computer program product of claim 14, where the computer readable program code when executed on the computer further causes the computer to:

determine, by analysis of image content of additional correlated images, that additional directional representations of the single event are associated with different comparable times and locations of image capture; and

adjust the dynamic attraction to a new location of a new intersection region that results from intersecting directional bearings of image capture of the additional correlated images.

17. The computer program product of claim 14, where the computer readable program code when executed on the computer further causes the computer to:

determine, by analysis of image content of additional correlated images, that additional current representations of the single event are not available in association with the dynamic attraction; and

remove the dynamic attraction from a list of available dynamic attractions.

18. The computer program product of claim 14, where the computer readable program code when executed on the computer further causes the computer to provide a map display view of available travel routes comprising the dynamic attraction identified by the location of the intersection region.

19. The computer program product of claim 18, where the computer readable program code when executed on the computer further causes the computer to:

provide a hypertext link within the map display view to at least one of the correlated images within a travel route recommendation in response to a request for a travel route from a user that travels near the dynamic attraction; and

provide image content from the at least one of the correlated images in response to a user selection of the provided hypertext link.

20. The computer program product of claim 14, where the computer readable program code when executed on the computer further causes the computer to differentiate any static fixed-location points of interest in the image content of the correlated plurality of images from the identified dynamic attraction.