Digital Image Analysis
US-2015131902-A1 · May 14, 2015 · US
Method for ranking and selecting events in media collections
US2021365490A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2021365490-A1 |
| Application number | US-202117391957-A |
| Country | US |
| Kind code | A1 |
| Filing date | Aug 2, 2021 |
| Priority date | Jun 27, 2013 |
| Publication date | Nov 25, 2021 |
| Grant date | — |
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Abstract
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A method for ranking events in media collections includes designating a media collection, using a processor to cluster the media collection items into a hierarchical event structure, using the processor to identify and count visually similar sub-events within each event in the hierarchical event structure, using the processor to determine a ranking of events based on the count of sub-events within each event, and associating the determined ranking with each event in the media collection.
First claim
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1 . A method for ranking events in media collections, comprising: designating a media collection; using a processor to cluster the media collection items into a hierarchical event structure; using the processor to identify and count visually similar sub-events within each event in the hierarchical event structure; using the processor to determine a ranking of events based on the count of sub-events within each event; and associating the determined ranking with each event in the media collection. 2 . The method of claim 1 , wherein the ranking of events is based on the significance score of the event. 3 . The method of claim 1 , wherein the ranking of events is based on a distribution that models the importance of an event over an elapsed time period. 4 . The method of claim 1 , wherein the ranking of events is based on a score or distribution that models the interestingness of an event over an elapsed time period. 5 . The method of claim 1 , wherein the ranking of events is based on metadata from social networks such as number of likes and comments. 6 . The method of claim 1 , wherein the ranking of events is based on metadata from social networks through the analysis of user tags and comments. 7 . The method of claim 1 , wherein the ranking of events is based on the number of images in the event that have been marked by the user as being a favorite or to be used for sharing. 8 . A method for selecting events from media collections, comprising: designating a media collection; using a processor to cluster the media collection items into a hierarchical event structure; using the processor to identify and count visually similar sub-events within each event in the hierarchical event structure; using the processor to determine a ranked list of events based on the count of sub-events within each event; using the processor to calculate a target distribution that is based on the distribution of one or more event attributes of the events derived from the media collection; and selecting events from the ranked list of events based on the calculated target distribution. 9 . The method of claim 8 , wherein the event attribute used in the target distribution is the event class. 10 . The method of claim 8 , wherein the event attribute used in the target distribution is the event size. 11 . The method of claim 8 , wherein the event attribute used in the target distribution is the media type of the event. 12 . The method of claim 8 , wherein the ranking of events is based on the significance score of the event. 13 . The method of claim 8 , wherein the ranking of events is based on a distribution that models the importance of an event over an elapsed time period. 14 . The method of claim 8 , wherein the ranking of events is based on scores or a distribution that models the interestingness of an event over an elapsed time period. 15 . The method of claim 8 , wherein the ranking of events is based on metadata from social networks such as number of likes and comments. 16 . The method of claim 8 , wherein the ranking of events is based on metadata from social networks through the analysis of user tags and comments. 17 . The method of claim 8 , wherein the ranking of events is based on the number of images in the event that have been marked by the user as being a favorite or to be used for sharing.
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- G06F16/41Primary
Indexing; Data structures therefor; Storage structures · CPC title
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- What does patent US2021365490A1 cover?
- A method for ranking events in media collections includes designating a media collection, using a processor to cluster the media collection items into a hierarchical event structure, using the processor to identify and count visually similar sub-events within each event in the hierarchical event structure, using the processor to determine a ranking of events based on the count of sub-events wit…
- Who is the assignee on this patent?
- Kodak Alaris Inc
- What technology area does this patent fall under?
- Primary CPC classification G06F16/41. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Thu Nov 25 2021 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).