Detecting recurring events in consumer image collections
First Claim
Patent Images
1. A method to detect recurring events in a digital image collection, comprising:
- identifying events in a collection of digital images based, at least in part, on content of the digital images, each event comprising at least one digital image, each digital image having capture time metadata;
characterizing the identified events in a multi-dimensional representation including a representation having a first time axis and a second time axis that is different from the first time axis based, at least in part, on a distribution of the identified events'"'"' digital images'"'"' capture times; and
identifying one or more recurring events from the identified events based, at least in part, on a spatial clustering analysis of the multi-dimensional representation of the events.
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Abstract
A method of detecting recurring events in a digital image collection taken over a pre-determined period of time is disclosed. The method uses a processor for analyzing the digital image collection to produce a two-dimensional representation of the distribution of image capture activity over time and detecting recurring events by identifying spatial clusters in the two-dimensional representation.
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Citations
17 Claims
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1. A method to detect recurring events in a digital image collection, comprising:
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identifying events in a collection of digital images based, at least in part, on content of the digital images, each event comprising at least one digital image, each digital image having capture time metadata; characterizing the identified events in a multi-dimensional representation including a representation having a first time axis and a second time axis that is different from the first time axis based, at least in part, on a distribution of the identified events'"'"' digital images'"'"' capture times; and identifying one or more recurring events from the identified events based, at least in part, on a spatial clustering analysis of the multi-dimensional representation of the events. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A non-transitory program storage device comprising instructions stored thereon to cause one or more processors to:
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identify events in a collection of digital images based, at least in part, on content of the digital images, each event comprising at least one digital image, each digital image having capture time metadata; characterize the identified events in a multi-dimensional representation including a representation having a first time axis and a second time axis that is different from the first time axis based, at least in part, on a distribution of the identified events'"'"' digital images'"'"' capture times; and identify one or more recurring events from the identified events based, at least in part, on a spatial clustering analysis of the multi-dimensional representation of the events. - View Dependent Claims (8, 9, 10, 11, 12, 13, 14, 15)
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16. A computer system, comprising:
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memory; a display communicatively coupled to the memory; and one or more processors operatively coupled to the memory and display and configured to execute instructions stored in the memory to— identify events in a collection of digital images stored in the memory based, at least in part, on content of the digital images, each event comprising at least one digital image, each digital image having capture time metadata, characterize the identified events in a multi-dimensional representation including a representation having a first time axis and a second time axis that is different from the first time axis based, at least in part, on a distribution of the identified events'"'"' digital images'"'"' capture times, and identify one or more recurring events from the identified events based, at least in part, on a spatial clustering analysis of the multi-dimensional representation of the events. - View Dependent Claims (17)
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Specification