Event Matching in Social Networks
AssigneeMicrosoft Corporation
InventorsEyal Krupka, Igor Abramovski, Igor KVIATKOVSKY
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Abstract
Images from two image databases may be correlated based on identifying a common event, which may be determined by image metadata as well as image content. The image metadata may include timestamps, geotagging metadata, or other tags, as well as input from a social network application in some embodiments. The image content may include analysis to find common persons based on facial recognition or color histograms, common background components, or other common features. The common event may be used to identify images that may be shared among the participants of the event by a social network application, as well as other purposes.
Claims20
A method performed on a computer processor, said method comprising:
- receiving image metadata for each image in a first image collection, said first image collection being associated with a first user;
- receiving image metadata for each image in a second image collection, said second image collection being associated with a second user;
- analyzed said image metadata to identify a common event;
- and
- identifying a first image in said second image collection as relating to said common event.
A system comprising:
- a social network comprising:
- a first user account having a first image collection;
- a second user account having a second image collection;
- a comparison engine that:
- identifies a common event by analyzing said first image collection and said second image collection.
A method performed on a computer processor, said method comprising:
- receiving image metadata for each image in a first image collection, said first image collection being associated with a first user;
- receiving image metadata for each image in a second image collection, said second image collection being associated with a second user;
- identifying a common event between said first image collection and said second image collection by metadata comparison and image comparison of images in said first image collection and said second image comparison;
- and
- identifying a first image in said second image collection as relating to said common event.
Dependencies are inferred from the claim text.