METHOD AND APPARATUS FOR ANALYZING CLUSTERING OF MIXED REALITY CONTENT AND COMPUTAIONS

• US 20130176334A1
• Filed: 01/02/2013
• Published: 07/11/2013
• Est. Priority Date: 01/09/2012
• Status: Abandoned Application

• Current Assignee: Nokia Technologies Oy (Nokia Corporation)
• Original Assignee: Nokia Corporation
• Inventors: BOLDYREV, Sergey, KAAJA, Jari-Jukka Harald, MURPHY, David Joseph, UUSITALO, Mikko Aleksi
• Application Number:
  US13/732,904
• Publication Number:
  US 20130176334A1
• Time in Patent Office: Days
• US Class Current: 345/633
• CPC Class Codes: G09G 2340/12 Overlay of images, i.e. displayed pixel being the result of switching between the corresponding input pixels
• CPC Class Codes: G09G 2340/125 wherein one of the images is motion video
• CPC Class Codes: G09G 5/377 for mixing or overlaying two or more graphic patterns G09G5/02, G09G5/397 take precedence
• CPC Class Codes: G09G 5/397 Arrangements specially adapted for transferring the contents of two or more bit-mapped memories to the screen simultaneously, e.g. for mixing or overlay G09G5/02 takes precedence

Abstract

An approach is provided for analyzing clustering of mixed reality content and computations. A mixed reality platform determines one or more clusters of one or more mixed reality digital objects, one or more computations associated with the one or more mixed reality digital objects, or a combination thereof based, at least in part, one or more densities of one or more requests for the one or more mixed reality digital objects. The mixed reality platform also processes and/or facilitates a processing of the one or more requests, the one or more densities, or a combination thereof to determine one or more gradients with respect to one or more locations associated with the mixed reality digital objects. The one or more gradients represent inflow/outflow information associated with the one or more locations.

Claims

1. A method comprising facilitating a processing of and/or processing (1) data and/or (2) information and/or (3) at least one signal, the (1) data and/or (2) information and/or (3) at least one signal based, at least in part, on the following:

at least one determination of one or more clusters of one or more mixed reality digital objects, one or more computations associated with the one or more mixed reality digital objects, or a combination thereof based, at least in part, one or more densities of one or more requests for the one or more mixed reality digital objects; and

a processing of the one or more requests, the one or more densities, or a combination thereof to determine one or more gradients with respect to one or more locations associated with the mixed reality digital objects,

wherein the one or more gradients represent inflow/outflow information associated with the one or more locations.

2. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

at least one determination of the one or more gradients based, at least in part, on one or more characteristics, one or more parameters, or a combination thereof associated with the one or more locations.

3. A method of claim 2, wherein the one or one or more characteristics, one or more parameters, or a combination thereof or a combination thereof include, at least in part, on one or more economic characteristics, one or more financial characteristics, one or more business characteristics, one or more population characteristics, or a combination thereof.

4. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

at least one determination of one or more attractors associated with the one or more locations, one or more other locations, or a combination thereof and

a monitoring of the one or more requests, one or more subsequent requests for the one or more mixed reality digital objects, or a combination thereof to determine one or more impacts on the one or more gradients that are attributable to the one or more attractors.

5. A method of claim 4, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

at least one determination of one or more devices proximate to the one or more locations, the one or more attractors, or a combination thereof and

a presentation of at least one notification regarding the one or more attractors to the one or more devices.

6. A method of claim 5, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

at least one determination of one or more target capabilities associated with the one or more devices proximate to the one or more locations, the one or more attractors, or a combination thereof

a presentation of the one or more attractors to the one or more devices associated with the one or more target capabilities.

7. A method of claim 4, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

at least one determination of the one or more other locations for the one or more attractors based, at least in part, on workload distribution information, device density information, user presence information, data presence information, or a combination thereof.

8. A method of claim 4, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

a rendering of the one or more attractors, one or more directions to the one or more attractors, or a combination thereof in at least one user interface of a mixed reality application.

9. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

at least one determination of the one or more locations based, at least in part, on the one or more requests made with one or more short range communications including, at least in part, one or more radio frequency memory tags, one or more short range wireless protocols, or a combination thereof.

10. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

at least one determination of the one or more gradients based, at least in part, on the one or more requests made with one or more medium range communications including, at least in part, one or more cognitive radio protocols, one or more medium range wireless protocols, or a combination thereof.

11. An apparatus comprising:

at least one processor; and

at least one memory including computer program code for one or more programs,

the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following,

determine one or more clusters of one or more mixed reality digital objects, one or more computations associated with the one or more mixed reality digital objects, or a combination thereof based, at least in part, one or more densities of one or more requests for the one or more mixed reality digital objects; and

process and/or facilitate a processing of the one or more requests, the one or more densities, or a combination thereof to determine one or more gradients with respect to one or more locations associated with the mixed reality digital objects,

wherein the one or more gradients represent inflow/outflow information associated with the one or more locations.

12. An apparatus of claim 11, wherein the apparatus is further caused to:

determine the one or more gradients based, at least in part, on one or more characteristics, one or more parameters, or a combination thereof associated with the one or more locations.

13. An apparatus of claim 12, wherein the one or one or more characteristics, one or more parameters, or a combination thereof or a combination thereof include, at least in part, on one or more economic characteristics, one or more financial characteristics, one or more business characteristics, one or more population characteristics, or a combination thereof.

14. An apparatus of claim 11, wherein the apparatus is further caused to:

determine one or more attractors associated with the one or more locations, one or more other locations, or a combination thereof; and

cause, at least in part, a monitoring of the one or more requests, one or more subsequent requests for the one or more mixed reality digital objects, or a combination thereof to determine one or more impacts on the one or more gradients that are attributable to the one or more attractors.

15. An apparatus of claim 14, wherein the apparatus is further caused to:

determine one or more devices proximate to the one or more locations, the one or more attractors, or a combination thereof; and

cause, at least in part, a presentation of at least one notification regarding the one or more attractors to the one or more devices.

16. An apparatus of claim 15, wherein the apparatus is further caused to:

determine one or more target capabilities associated with the one or more devices proximate to the one or more locations, the one or more attractors, or a combination thereof;

cause, at least in part, a presentation of the one or more attractors to the one or more devices associated with the one or more target capabilities.

17. An apparatus of claim 14, wherein the apparatus is further caused to:

determine the one or more other locations for the one or more attractors based, at least in part, on workload distribution information, device density information, user presence information, data presence information, or a combination thereof.

18. An apparatus of claim 14, wherein the apparatus is further caused to:

cause, at least in part, a rendering of the one or more attractors, one or more directions to the one or more attractors, or a combination thereof in at least one user interface of a mixed reality application.

19. An apparatus of claim 11, wherein the apparatus is further caused to:

determine the one or more locations based, at least in part, on the one or more requests made with one or more short range communications including, at least in part, one or more radio frequency memory tags, one or more short range wireless protocols, or a combination thereof.

20. An apparatus of claim 11, wherein the apparatus is further caused to:

determine the one or more gradients based, at least in part, on the one or more requests made with one or more medium range communications including, at least in part, one or more cognitive radio protocols, one or more medium range wireless protocols, or a combination thereof.