摘要:
Disclosed are methods and apparatus for triggering (i.e., initiating, launching, or running) a software application (e.g., an interactive game application) or other computer program or application on a user device (e.g., a computer, etc.) based on multimedia content being provided to (e.g., displayed on) a different user device (e.g., a different computer, a television, etc.). The methods may comprise displaying, using a first device, multimedia content. A multimedia-analysis process may then be performed to determine an attribute of the multimedia content being displayed. These attributes may be used to acquire (e.g., select or produce) a software application comprising one or more elements that relate to the multimedia content. The software application may then be launched (i.e., triggered, initiated, or run) on a second device, the second device being different from the first device.
摘要:
In a device that is a member of an ad-hoc group in a network, a method includes determining an encounter history of the device with other devices in the ad-hoc group and filtering content intended to be shared by the device with the ad-hoc group based on the encounter history. A device includes a network interface to communicate with other devices in an ad-hoc group of a network and a disclosure assessment agent to determine a disclosure factor for disclosure of content to the ad-hoc group based on an encounter history of the device with other devices in the ad-hoc group. The device further includes a disclosure filter agent to filter content intended to be shared with the ad-hoc group based on the disclosure factor.
摘要:
Disclosed are methods and apparatus for triggering (i.e., initiating, launching, or running) a software application (e.g., an interactive game application) or other computer program or application on a user device (e.g., a computer, etc.) based on multimedia content being provided to (e.g., displayed on) a different user device (e.g., a different computer, a television, etc.). The methods may comprise displaying, using a first device, multimedia content. A multimedia-analysis process may then be performed to determine an attribute of the multimedia content being displayed. These attributes may be used to acquire (e.g., select or produce) a software application comprising one or more elements that relate to the multimedia content. The software application may then be launched (i.e., triggered, initiated, or run) on a second device, the second device being different from the first device.
摘要:
Disclosed are methods and apparatus for processing display data. The display data specify one or more presentations (e.g., digital signage information) for displaying to a user on an end-user device (e.g., a digital signage device). One or more processors receive one or more criteria (e.g., “user preferences”) and the display data. The one or more processors select some or all of the received display data. This selection may be dependent upon the one or more criteria. The one or more processors then provide, for display by the end-user device, the selected display data. This provision may be dependent upon the one or more criteria.
摘要:
Disclosed are methods and apparatus for including an insert (e.g., an advertisement) in multimedia content. The method comprises receiving, by a receiving module, one or more indications, each indication being an indication that a consumer intends to consume, at some time in the future, the multimedia content. Using the indications, a value of a metric is then determined. The metric is dependent upon the number of received indications or one or more attributes of consumers whom the indications indicate intend to consume the multimedia content. An insert is then selected depending on the determined value for the metric. The selected insert is then included in the multimedia content.
摘要:
A media content item is evaluated for its “sentiment states.” That is, segments of the content item are determined to be, for example, “happy,” “exciting,” “sad,” “funny,” and the like. A “sentiment map” is created that delimits segments of the content item and contains the sentiment-state keywords associated with the segments. Some maps include an amplitude for each assigned sentiment keyword and a confidence value for the segment delimitation and for each keyword. As an exemplary use of the sentiment map, an advertisement broker matches the sentiments of his advertisement offerings with segments of a content item in order to place appropriate advertisements at times when they would be most favorably received. In another example, a recommender system recommends to a user a content item whose sentiment map compares favorably to that of a content item already enjoyed by the user.
摘要:
A media content item is evaluated for its “sentiment states.” That is, segments of the content item are determined to be, for example, “happy,” “exciting,” “sad,” “funny,” and the like. A “sentiment map” is created that delimits segments of the content item and contains the sentiment-state keywords associated with the segments. Some maps include an amplitude for each assigned sentiment keyword and a confidence value for the segment delimitation and for each keyword. As an exemplary use of the sentiment map, an advertisement broker matches the sentiments of his advertisement offerings with segments of a content item in order to place appropriate advertisements at times when they would be most favorably received. In another example, a recommender system recommends to a user a content item whose sentiment map compares favorably to that of a content item already enjoyed by the user.
摘要:
A media content item is evaluated for its “sentiment states.” That is, segments of the content item are determined to be, for example, “happy,” “exciting,” “sad,” “funny,” and the like. A “sentiment map” is created that delimits segments of the content item and contains the sentiment-state keywords associated with the segments. Some maps include an amplitude for each assigned sentiment keyword and a confidence value for the segment delimitation and for each keyword. As an exemplary use of the sentiment map, an advertisement broker matches the sentiments of his advertisement offerings with segments of a content item in order to place appropriate advertisements at times when they would be most favorably received. In another example, a recommender system recommends to a user a content item whose sentiment map compares favorably to that of a content item already enjoyed by the user.
摘要:
A media content item is evaluated for its “sentiment states.” That is, segments of the content item are determined to be, for example, “happy,” “exciting,” “sad,” “funny,” and the like. A “sentiment map” is created that delimits segments of the content item and contains the sentiment-state keywords associated with the segments. Some maps include an amplitude for each assigned sentiment keyword and a confidence value for the segment delimitation and for each keyword. As an exemplary use of the sentiment map, an advertisement broker matches the sentiments of his advertisement offerings with segments of a content item in order to place appropriate advertisements at times when they would be most favorably received. In another example, a recommender system recommends to a user a content item whose sentiment map compares favorably to that of a content item already enjoyed by the user.
摘要:
A media content item is evaluated for its “sentiment states.” That is, segments of the content item are determined to be, for example, “happy,” “exciting,” “sad,” “funny,” and the like. A “sentiment map” is created that delimits segments of the content item and contains the sentiment-state keywords associated with the segments. Some maps include an amplitude for each assigned sentiment keyword and a confidence value for the segment delimitation and for each keyword. As an exemplary use of the sentiment map, an advertisement broker matches the sentiments of his advertisement offerings with segments of a content item in order to place appropriate advertisements at times when they would be most favorably received. In another example, a recommender system recommends to a user a content item whose sentiment map compares favorably to that of a content item already enjoyed by the user.