Abstract:
Aspects of the subject disclosure may include, for example, generating narrative descriptions corresponding to visual features, visual events, and interactions there between for media content, where the narrative descriptions are associated with time stamps of the media content, and presenting the media content and an audio reproduction of the narrative descriptions, wherein the audio reproduction is synchronized to video of the media content according to the time stamps. Other embodiments are disclosed.
Abstract:
A method includes receiving image data corresponding to an image and detecting an object represented within the image. The method further includes selecting a portion of the image data that corresponds to the object and determining object quality values based on the portion of the image data. The method also includes determining an object category corresponding to the object and accessing object category metrics associated with the object category. The method includes performing a comparison of the object quality values to the object category metrics associated with the object category and initiating an action based on the comparison.
Abstract:
A method includes receiving image data corresponding to an image and detecting an object represented within the image. The method further includes selecting a portion of the image data that corresponds to the object and determining object quality values based on the portion of the image data. The method also includes determining an object category corresponding to the object and accessing object category metrics associated with the object category. The method includes performing a comparison of the object quality values to the object category metrics associated with the object category and initiating an action based on the comparison.
Abstract:
A method includes receiving, at a server computing device, a request to stream media content to a user device. The request is associated with data identifying a personal quality profile. The method includes retrieving, via the server computing device, the personal quality profile associated with the data. The personal quality profile indicates media quality preferences. The method includes determining, via a processor of the server computing device, a version of the media content to send to the user device based on the media quality preferences of the personal quality profile and based on a delivery bit rate. The method also includes sending the version from the server computing device to the user device in response to the request.
Abstract:
A method includes identifying an area in an image that is associated with strong directional energy. The method further includes determining a first estimate of signal energy for the area and a second estimate of aliasing energy for the area. The method further includes estimating a severity of an aliasing error of the image based on the first estimate and the second estimate.
Abstract:
A method includes identifying an area in an image that is associated with strong directional energy. The method further includes determining a first estimate of signal energy for the area and a second estimate of aliasing energy for the area. The method further includes estimating a severity of an aliasing error of the image based on the first estimate and the second estimate.