Point of interest (POI) data positioning in image

• US 9,406,153 B2
• Filed: 12/14/2011
• Issued: 08/02/2016
• Est. Priority Date: 12/14/2011
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Williams, Samuel, Wantland, Timothy, Ramos, Gonzalo, Sibley, Peter G.
• Primary Examiner(s): Shibru, Helen
• Application Number:
  US13/325,652
• Publication Number:
  US 20130155181A1
• Time in Patent Office: 1,693 Days
• Field of Search: 348/39, 348/36, 348/37, 348/38, 348/42
• US Class Current: 1/1
• CPC Class Codes: G01C 21/3679 Retrieval, searching and output of POI information, e.g. hotels, restaurants, shops, filling stations, parking facilities G01C21/3611 takes precedence
• CPC Class Codes: G06T 11/00 2D [Two Dimensional] image generation
• CPC Class Codes: G09B 29/106 using electronic means
• CPC Class Codes: H04N 13/189 Recording image signals; Reproducing recorded image signals
• CPC Class Codes: H04N 13/282 for generating image signals corresponding to three or more geometrical viewpoints, e.g. multi-view systems
• CPC Class Codes: H04N 13/349 Multi-view displays for displaying three or more geometrical viewpoints without viewer tracking for viewing without the aid of special glasses using fly-eye lenses H04N13/307
• CPC Class Codes: H04N 13/361 Reproducing mixed stereoscopic images; Reproducing mixed monoscopic and stereoscopic images, e.g. a stereoscopic image overlay window on a monoscopic image background
• CPC Class Codes: H04N 23/698 for achieving an enlarged field of view, e.g. panoramic image capture

Abstract

Among other things, one or more techniques and/or systems are disclosed for positioning point-of-interest (POI) data in a planar panorama image, generated from a plurality of relatively sequential images. First POI data with a first geo-location and second POI data with a second geo-location can be received for the planar panorama image, and first and second data tags can be created that respectively comprise at least some of the first and second POI data. A cluster geo-location may be identified for the first and second data tags based at least upon the first and second geo-locations, and the first and second data tags can be clustered at the cluster geo-location in the planar panorama image. The first and second data tags can be re-clustered (e.g., moved around) and displayed at different locations within the planar panorama image in response to a zoom operation, for example.

Claims

1. A computer-based method for positioning point-of-interest (POI) data in a planar panorama image, comprising:

receiving first POI data, comprising a first geo-location, corresponding to a first POI, and second POI data, comprising a second geo-location, corresponding to a second POI different than the first POI;

creating a first data tag, comprising at least a portion of the first POI data, corresponding to the first POI, and a second data tag, comprising at least a portion of the second POI data, corresponding to the second POI, at least one of the first data tag or the second data tag not comprising street-side imagery associated with the planar panorama image; and

clustering the first data tag corresponding to the first POI and the second data tag corresponding to the second POI at a cluster geo-location displayed in the planar panorama image, the cluster geo-location based at least upon the first geo-location and the second geo-location, at least a portion of the clustering performed by a processing unit.

2. The method of claim 1, comprising determining the cluster geo-location comprising one or more of:

identifying a geo-location disposed between the first geo-location and the second geo-location, if the first geo-location and the second geo-location comprise different geo-locations;

or

identifying a geo-location disposed at the first geo-location and the second geo-location, if the first geo-location and the second geo-location comprise a same geo-location.

3. The method of claim 1, at least one of the first data tag or the second data tag comprising at least one of text, an icon, or an image corresponding to at least one of a business, a store, an exhibit or a gallery.

4. The method of claim 1, comprising receiving an indication of a first zoom level for the planar panorama image, the clustering based at least upon the first zoom level.

5. The method of claim 4, comprising:

receiving an indication of a second zoom level for the planar panorama image; and

re-clustering the first data tag and the second data tag based at least upon the second zoom level.

6. The method of claim 5, re-clustering comprising clustering at least a third data tag with the first data tag and the second data tag at the cluster geo-location, the third data tag comprising at least a portion of third POI data, the third POI data comprising a third geo-location, if at least one or more of:

the second zoom level comprises a zooming-out from the first zoom level;

or

the first geo-location, the second geo-location and the third geo-location are disposed in an area of the planar panorama image comprising a desired size of at least one of the first data tag, the second data tag or the third data tag.

7. The method of claim 5, re-clustering comprising locating the first data tag at the first geo-location and the second data tag at the second geo-location, if at least one or more of:

the second zoom level comprises a zooming-in from the first zoom level;

or

the first geo-location and the second geo-location are not disposed in an area of the planar panorama image comprising a desired size of at one of the first data tag or the second data tag.

8. The method of claim 1, clustering comprising one or more of:

rendering the first data tag and the second data tag in a list form at the cluster geo-location;

or

rendering the first data tag and the second data tag in a non-list form, at least one of the first data tag or the second data tag comprising a pointer to the cluster geo-location.

9. The method of claim 8, at least one of rendering in a list form or rendering in a non-list form comprising one or more of:

locating at least one of at least a portion of the first data tag or at least a portion of the second data tag outside of the planar panorama image;

or

locating at least one of at least a portion of the first data tag or at least a portion of the second data tag over the planar panorama image.

10. The method of claim 1, comprising determining a display size of at least one of the first data tag or the second data tag based at least upon one or more of the first POI data or the second POI data.

11. The method of claim 1, comprising at least one of:

accommodating, via the clustering, at least one of imprecisions or inaccuracies in underlying data;

or

determining a display size of at least one of the first data tag or the second data tag based at least upon a desired tag window size.

12. The method of claim 1, comprising adjusting a display size of at least one of the first data tag or the second data tag comprising one or more of:

increasing the display size from a first zoom level to a second zoom level if the second zoom level comprises a zooming-in from the first zoom level;

or

decreasing the display size from the first zoom level to the second zoom level if the second zoom level comprises a zooming-out from the first zoom level.

13. A system for positioning point-of-interest (POI) data in a planar panorama image, comprising:

a data tag creation component configured to create a first data tag, comprising at least a portion of first POI data, corresponding to a first POI, and create a second data tag, comprising at least a portion of second POI data, corresponding to a second POI different than the first POI, at least one of the first data tag or the second data tag not comprising street-side imagery associated with the planar panorama image; and

a clustering component configured to cluster the first data tag corresponding to the first POI and the second data tag corresponding to the second POI at a cluster geo-location displayed in the planar panorama image, the cluster geo-location based at least upon a first geo-location, comprised in the first POI data, and a second geo-location, comprised in the second POI data.

14. The system of claim 13, at least one of the first POI data or the second POI data comprising one or more of:

an entity name associated with a geo-location;

entity metadata for an entity associated with a geo-location;

update entity metadata for an entity associated with a geo-location, the update entity metadata received from an online network;

or

update location metadata for a geo-location, the update location metadata received from an online network.

15. The system of claim 13, at least one of the first data tag or the second data tag comprising one or more of:

text comprising at least a portion of POI data;

an icon representative of at least a portion of POI data;

or

an image representative of at least a portion of POI data.

16. The system of claim 13, comprising a cluster location determination component configured to identify the cluster geo-location, comprising one or more of:

identifying a geo-location disposed between the first geo-location and the second geo-location, if the first geo-location and the second geo-location comprise different geo-locations;

or

identifying a geo-location disposed at the first geo-location and the second geo-location, if the first geo-location and the second geo-location comprise a same geo-location.

17. The system of claim 13, the clustering component configured to cluster the first data tag and the second data tag at the cluster geo-location in the planar panorama image based at least upon a received indication of a first zoom level.

18. The system of claim 17, comprising a re-clustering component configured to re-cluster the first data tag and the second data tag based at least upon a received indication of a second zoom level.

19. The system of claim 13, comprising a cluster rendering component configured to render a cluster comprising one or more data tags, the cluster comprising one or more of:

the one or more data tags in a list form co-located with the cluster geo-location;

or

the one or more data tags in a non-list form respectively comprising pointers to corresponding geo-locations.

20. A computer readable device comprising instructions that when executed perform actions for positioning point-of-interest (POI) data in a planar panorama image, comprising:

receiving first POI data, comprising a first geo-location, corresponding to a first POI, and second POI data, comprising a second geo-location, corresponding to a second POI different than the first POI;

creating a first data tag, comprising at least a portion of the first POI data, corresponding to the first POI, and a second data tag, comprising at least a portion of the second POI data, corresponding to the second POI, at least one of the first data tag or the second data tag not comprising street-side imagery associated with the planar panorama image, at least one of the first data tag or the second data tag comprising at least one of text, an icon, or an image corresponding to at least one of a business, a store, an exhibit or a gallery; and

clustering, based at least upon a zoom level for the planar panorama image, the first data tag corresponding to the first POI and the second data tag corresponding to the second POI at a cluster geo-location displayed in the planar panorama image, the cluster geo-location based at least upon the first geo-location and the second geo-location.