Method and apparatus for generating a media compilation based on criteria based sampling
View Patent ↗An approach is provided for initiating generation of a media compilation based on one or more sampling criteria. A sampling platform determines at least one subset of one or more media items captured of at least one event. The sampling platform also partitions the at least one subset of the one or more media items into one or more bins and generates at least one compilation of the at least one subset of the one or more items based, at least in part, on whether the one or more media items in the one or more bins at least substantially meet one or more sampling criteria.
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 subset of one or more media items captured of at least one event;
a partitioning, by a processor, of the at least one subset of the one or more media items into one or more bins based, at least in part, on one or more characteristic dimensions associated with one or more devices capturing the one or more media items, the at least one event, or a combination thereof; and
a generation of at least one compilation of the at least one subset of the one or more media items based, at least in part, on whether the one or more media items in the one or more bins at least meet one or more sampling criteria.
2. The method of claim 1 , wherein the one or more characteristic dimensions include, at least in part, a temporal dimension, a spatial dimension, a view dimension, or a combination thereof.
3. The 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 bins based, at least in part, on a discretization of the one or more characteristic dimensions.
4. The 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 at least one count of the one or more media items respectively in the one or more bins; and
at least one determination of at least one sub-event based, at least in part, on the at least one count,
wherein the generation of the at least one compilation is based, at least in part, on the at least one sub-event.
5. The 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 processing of the at least one count using at least one probability function to determine the at least one sub-event.
6. The 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, and
wherein the partitioning of the at least one subset is based, at least in part, on metadata associated with the one or more media items.
7. The 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:
a distribution of the one or more bins into a multi-dimensional space, wherein one or more axes of the multi-dimensional space respectively represent the one or more characteristic dimensions.
8. The method of claim 7 , 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:
an input for specifying a traversal within the multi-dimensional space,
wherein the at least one compilation is generated based, at least in part, on the traversal.
9. The method of claim 1 , wherein the sampling criteria include, at least in part, a popularity of one or more segments of the at least one event, an importance of one or more subjects in the at least one event, an importance of one or more views of the event, or a combination thereof.
10. The method of claim 1 , wherein the determining of the at least one subset, the grouping of the at least one subset, the generation of the at least one compilation, or a combination thereof is performed as the at least one event is occurring, as the at least one subset is uploaded to a server, 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 at least one subset of one or more media items captured of at least one event;
cause, at least in part, a partitioning of the at least one subset of the one or more media items into one or more bins based, at least in part, on one or more characteristic dimensions associated with one or more devices capturing the one or more media items, the at least one event, or a combination thereof; and
cause, at least in part, a generation of at least one compilation of the at least one subset of the one or more media items based, at least in part, on whether the one or more media items in the one or more bins at least meet one or more sampling criteria.
12. The apparatus of claim 11 , wherein the one or more characteristic dimensions include, at least in part, a temporal dimension, a spatial dimension, a view dimension, or a combination thereof.
13. The apparatus of claim 11 , wherein the apparatus is further caused to:
determine the one or more bins based, at least in part, on a discretization of the one or more characteristic dimensions.
14. The apparatus of claim 11 , wherein the media items are captured live, and wherein the apparatus is further caused to:
determine at least one count of the one or more media items respectively in the one or more bins; and
determine at least one sub-event based, at least in part, on the at least one count,
wherein the generation of the at least one compilation is based, at least in part, on the at least one sub-event.
15. The apparatus of claim 14 , wherein the apparatus is further caused to:
process and/or facilitate a processing of the at least one count using at least one probability function to determine the at least one sub-event.
16. The apparatus of claim 11 , wherein the apparatus is further caused to:
determine metadata associated with the one or more media items,
wherein the partitioning of the at least one subset is based, at least in part, on the metadata.
17. The apparatus of claim 11 , wherein the apparatus is further caused to:
cause, at least in part, a distribution of the one or more bins into a multi-dimensional space, wherein one or more axes of the multi-dimensional space respectively represent the one or more characteristic dimensions.
18. The apparatus of claim 11 , wherein the apparatus is further caused to:
determine an input for specifying a traversal within the multi-dimensional space,
wherein the at least one compilation is generated based, at least in part, on the traversal.
19. The apparatus of claim 11 , wherein the sampling criteria include, at least in part, a popularity of one or more segments of the at least one event, an importance of one or more subjects in the at least one event, an importance of one or more views of the event, or a combination thereof.
20. The apparatus of claim 11 , wherein the determining of the at least one subset, the grouping of the at least one subset, the generation of the at least one compilation, or a combination thereof is performed as the at least one event is occurring, as the at least one subset is uploaded to a server, or a combination thereof.