Dynamic attraction inference in route recommendations
First Claim
1. A method, comprising:
- evaluating a plurality of images that each comprise a time and a date of image capture, a location of image capture, and a directional bearing of image capture that specifies a direction of image capture relative to the respective location of image capture of each image;
correlating images from the plurality of images that comprise a comparable date, time, and location of image capture;
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.
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Abstract
A set of images that each include a time and a date of image capture, a location of image capture, and a directional bearing of image capture are evaluated. The direction bearing of image capture specifies a direction of image capture relative to the respective location of image capture of each image. Images are correlated among the set of images that include a comparable date, time, and location of image capture. 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.
8 Citations
20 Claims
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1. A method, comprising:
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evaluating a plurality of images that each comprise a time and a date of image capture, a location of image capture, and a directional bearing of image capture that specifies a direction of image capture relative to the respective location of image capture of each image; correlating images from the plurality of images that comprise a comparable date, time, and location of image capture; 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. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system, comprising:
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a memory; and a processor programmed to; evaluate a plurality of images within the memory that each comprise a time and a date of image capture, a location of image capture, and a directional bearing of image capture that specifies a direction of image capture relative to the respective location of image capture of each image; correlate images from the plurality of images that comprise a comparable date, time, and location of image capture; 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. - View Dependent Claims (9, 10, 11, 12, 13)
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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; evaluate a plurality of images that each comprise a time and a date of image capture, a location of image capture, and a directional bearing of image capture that specifies a direction of image capture relative to the respective location of image capture of each image; correlate images from the plurality of images that comprise a comparable date, time, and location of image capture; 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. - View Dependent Claims (15, 16, 17, 18, 19, 20)
Specification