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First Claim
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1. A method, comprising:
- ascertaining, from a database, a set of tags that has been generated by performing computer vision analysis of image content of a visual media item, each tag of the set of tags having a corresponding probability, wherein the probability indicates a likelihood that the tag accurately describes the image content of the visual media item;
obtaining, by a processor, a set of information that is independent from the image content of the visual media item, wherein obtaining the set of information includes performing a look up in a calendar to obtain at least a portion of the set of information using at least one of a date or time at which the visual media item was captured via a mobile device, wherein the portion of the set of information identifies an event that occurred on at least one of the date or time at which the visual media item was captured via the mobile device; and
modifying in the database the probability of at least a portion of the set of tags based, at least in part, upon the set of information, wherein modifying the probability of at least a portion of the set of tags includes increasing or decreasing the probability of a tag in the set of tags based, at least in part, upon whether the event corresponds to the tag.
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Abstract
In one embodiment, a set of tags that has been generated by performing computer vision analysis of image content of a visual media item may be obtained, where each tag of the set of tags has a corresponding probability. In addition, a set of information that is independent from the image content of the visual media item may be obtained. The probability of at least a portion of the set of tags may be modified based, at least in part, upon the set of information.
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Citations
23 Claims
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1. A method, comprising:
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ascertaining, from a database, a set of tags that has been generated by performing computer vision analysis of image content of a visual media item, each tag of the set of tags having a corresponding probability, wherein the probability indicates a likelihood that the tag accurately describes the image content of the visual media item; obtaining, by a processor, a set of information that is independent from the image content of the visual media item, wherein obtaining the set of information includes performing a look up in a calendar to obtain at least a portion of the set of information using at least one of a date or time at which the visual media item was captured via a mobile device, wherein the portion of the set of information identifies an event that occurred on at least one of the date or time at which the visual media item was captured via the mobile device; and modifying in the database the probability of at least a portion of the set of tags based, at least in part, upon the set of information, wherein modifying the probability of at least a portion of the set of tags includes increasing or decreasing the probability of a tag in the set of tags based, at least in part, upon whether the event corresponds to the tag. - View Dependent Claims (2, 3, 4, 5, 6, 17, 18, 19, 20, 21, 22, 23)
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7. A system, comprising:
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one or more processors; and one or more memories, at least one of processors or the memories being adapted for; ascertaining, from a database, a set of tags that has been generated by performing computer vision analysis of image content of a visual media item, each tag of the set of tags having a corresponding probability, wherein the probability indicates a likelihood that the tag accurately describes the image content of the visual media item; obtaining a set of information that is independent from the image content of the visual media item, wherein obtaining the set of information includes performing a look up in a calendar to obtain at least a portion of the set of information using at least one of a date or time at which the visual media item was captured via a mobile device, wherein the portion of the set of information identifies an event that occurred on at least one of the date or time at which the visual media item was captured via the mobile device; and modifying in the database, the probability of at least a portion of the set of tags based, at least in part, upon the set of information, wherein modifying the probability of at least a portion of the set of tags includes increasing or decreasing the probability of a tag in the set of tags based, at least in part, upon whether the event corresponds to the tag. - View Dependent Claims (8, 9, 10, 11)
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12. A non-transitory computer-readable storage medium storing thereon computer-readable instructions for performing operations, comprising:
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ascertaining, from a database a set of tags that has been generated by performing computer vision analysis of image content of a visual media item, each tag of the set of tags having a corresponding probability, wherein the probability indicates a likelihood that the tag accurately describes the image content of the visual media item; obtaining a set of information that is independent from the image content of the visual media item, wherein obtaining the set of information includes performing a look up in a calendar to obtain at least a portion of the set of information using at least one of a date or time at which the visual media item was captured via a mobile device, wherein the portion of the set of information identifies an event that occurred on at least one of the date or time at which the visual media item was captured via the mobile device; and modifying, in the database, the probability of at least a portion of the set of tags based, at least in part, upon the set of information, wherein modifying the probability of at least a portion of the set of tags includes increasing or decreasing the probability of a tag in the set of tags based, at least in part, upon whether the event corresponds to the tag. - View Dependent Claims (13, 14, 15, 16)
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Specification