Television key phrase detection
First Claim
1. A computer-executed method for character recognition of an unidentified key phrase presented in a time-based media event, based on a set of social media content items associated with the time-based media event, the method comprising:
- accessing a time-based media event including an image comprising an unidentified key phrase in image format, the time-based media event comprises an airing time stamp;
generating a list of candidate key phrases from the image including the unidentified key phrase;
determining a likelihood score for each of the candidate key phrases based ona confidence score reflecting the likelihood that the unidentified key phrase is correctly interpreted as the candidate key phrase by a recognition process, anda frequency score reflecting a number of content items in a set of social media content items that each (i) include the candidate key phrase and (ii) have a respective item time stamp that is within an interval amount of time from the airing time stamp of the media event;
selecting one of the candidate key phrases as being the unidentified key phrase based on the likelihood scores;
selecting a content item to present to one or more users of a social media network based on the selected candidate key phrase; and
sending the selected content item to the one or more users of the social media network.
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Accused Products
Abstract
Images of key phrases or hashtags appear on televised feeds. Image processing techniques, such as feature locating algorithms or character recognition algorithms, can be used to locate the images of key phrases in the images. Then, character recognition algorithms can be used to generate a list of candidate key phrases for the key phrase in image format. However, identification of the key phrase in image format is not completely accurate with conventional methods. Social media content items associated with the televised feed are used to filter the list of candidate key phrases. Using known information about the televised feed as well as about key phrases in text format in the social media content items, candidate key phrases in the list of candidate key phrases can be scored and, thus, a final candidate key phrase selected based on the scores.
11 Citations
33 Claims
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1. A computer-executed method for character recognition of an unidentified key phrase presented in a time-based media event, based on a set of social media content items associated with the time-based media event, the method comprising:
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accessing a time-based media event including an image comprising an unidentified key phrase in image format, the time-based media event comprises an airing time stamp; generating a list of candidate key phrases from the image including the unidentified key phrase; determining a likelihood score for each of the candidate key phrases based on a confidence score reflecting the likelihood that the unidentified key phrase is correctly interpreted as the candidate key phrase by a recognition process, and a frequency score reflecting a number of content items in a set of social media content items that each (i) include the candidate key phrase and (ii) have a respective item time stamp that is within an interval amount of time from the airing time stamp of the media event; selecting one of the candidate key phrases as being the unidentified key phrase based on the likelihood scores; selecting a content item to present to one or more users of a social media network based on the selected candidate key phrase; and sending the selected content item to the one or more users of the social media network. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A non-transitory computer readable storage medium comprising computer program instructions that, when executed by a processor, cause the processor to perform operations for character recognition of an unidentified key phrase in a time-based media event based on a set of social media content items associated with the time-based media event, the operations comprising:
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access a time-based media event including an image comprising an unidentified key phrase in image format, the time-based media event comprising an airing time stamp; generate a list of candidate key phrases from the image including the unidentified key phrase; determine a likelihood score for each of the candidate key phrases based on a confidence score reflecting the likelihood that the unidentified key phrase is correctly interpreted as the candidate key phrase by a recognition process, and a frequency score reflecting a number of content items in a set of social media content items that each (i) include the candidate key phrase, and (ii) have a respective item time stamp that is within an interval amount of time from the airing time stamp of the media event; select one of the candidate key phrases as being the unidentified key phrase based on the likelihood scores; select a content item to present to one or more users of a social media network based on the selected candidate key phrase; and send the selected content item to the one or more users of the social media network. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A system comprising a processor and a memory storing computer program instructions that when executed by the processor cause the processor to perform operations for character recognition of an unidentified key phrase presented in a time-based media event, based on a set of social media content items associated with the time-based media event, the operations comprising:
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access a time-based media event including an image comprising an unidentified key phrase in image format, the time-based media event comprising an airing time stamp; generate a list of candidate key phrases from the image including the unidentified key phrase; determine a likelihood score for each of the candidate key phrases based on a confidence score reflecting the likelihood that the unidentified key phrase is correctly interpreted as the candidate key phrase by a recognition process, and a frequency score reflecting a number of content items in a set of social media content items that each (i) include the candidate key phrase and (ii) have a respective item time stamp that is within an interval amount of time from the airing time stamp of the media event; select one of the candidate key phrases as being the unidentified key phrase based on the likelihood scores; select a content item to present to one or more users of a social media network based on the selected candidate key phrase; and send the selected content item to the one or more users of the social media network. - View Dependent Claims (26, 27, 28, 29, 30, 31, 32, 33)
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Specification