Abstract:
A method includes determining, at an image processing device, object quality values for a plurality of objects based on portions of image data corresponding to an image. Each portion corresponds to an object of the plurality of objects represented in the image. The method includes accessing, via the image processing device, object category metrics associated with an object category corresponding to each object of the plurality of objects. The method also includes determining, with the image processing device, image processing for the image based on comparisons of the object quality values for each object to corresponding object category metrics.
Abstract:
A method and apparatus for managing video transport is disclosed. A system that incorporates teachings of the present disclosure may include, for example, a server having a controller to predict visibility to a viewer of packet loss impairment for communicated video content based at least in part on scene information for one or more packets of the video content. Other embodiments are disclosed.
Abstract:
A method that incorporates teachings of the subject disclosure may include, for example, receiving, by a system comprising a processor, first media content from a service provider network over a high resolution channel at a first resolution, determining whether a first resolution exceeds a resolution threshold for viewing the first media content, transmitting a notification to the service provider network that the first resolution exceeds the resolution threshold, receiving the first media content from the service provider network over the high resolution channel at a second resolution according to the notification, wherein a difference between the first resolution and the second resolution provides unused bandwidth on the high resolution channel, and receiving second media content from the service provider network over the unused bandwidth of the high resolution channel. Other embodiments are disclosed.
Abstract:
Example methods and apparatus to detect transport faults in media presentation systems are disclosed. An example method comprises decoding a media stream to form audio data and pixel data, computing a first value representative of the media stream using pixel data associated with a first set of the video frames, computing a second value representative of the media stream using pixel data associated with a second set of the video frames, computing a third value representative of first speech in a first segment of the audio data, computing a fourth value representative of second speech in a second segment of the audio data, determining a fifth value representative of a likelihood that a transport failure has affected the media stream, the fifth value determined using the first, second, third and fourth values, and comparing the fifth value to a threshold to determine whether to generate a transport failure alert.
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 particular method includes receiving a set of images, where each image of the set of images is related to a common scene. The method also includes determining a first subset of pixels of a first image of the set, where the first subset of pixels corresponds to a second subset of pixels of a second image of the set. The method further includes generating a first image quality estimate of the first image based on a comparison of the first subset of pixels and the second subset of pixels
Abstract:
A method includes determining, at an image processing device, object quality values for a plurality of objects represented in an image. The object quality values are based on portions of image data for the image. The object quality values include a blurriness value for each object and a color value for each object. The method includes accessing, via the image processing device, object category metrics associated with an object category. The object category metrics include a blurriness metric for each object and a color metric for each object. The method also includes performing, with the image processing device, a particular image processing operation for the image based on comparisons of the object quality values for each object to corresponding object category metrics.
Abstract:
A particular method includes receiving a set of images, where each image of the set of images is related to a common scene. The method also includes determining a first subset of pixels of a first image of the set, where the first subset of pixels corresponds to a second subset of pixels of a second image of the set. The method further includes generating a first image quality estimate of the first image based on a comparison of the first subset of pixels and the second subset of pixels.
Abstract:
A method that incorporates teachings of the subject disclosure may include, for example, receiving, by a system comprising a processor, first media content from a service provider network over a high resolution channel at a first resolution, determining whether a first resolution exceeds a resolution threshold for viewing the first media content, transmitting a notification to the service provider network that the first resolution exceeds the resolution threshold, receiving the first media content from the service provider network over the high resolution channel at a second resolution according to the notification, wherein a difference between the first resolution and the second resolution provides unused bandwidth on the high resolution channel, and receiving second media content from the service provider network over the unused bandwidth of the high resolution channel. Other embodiments are disclosed.
Abstract:
Aspects of the subject disclosure may include, for example, receiving a plurality of media content instances, where each media content instance of the plurality of media content instances comprises origination information, identifying a common event from the origination information of each media content instance of the plurality of media content instances, determining a plurality of viewing perspectives of the plurality of media content instances responsive to identifying the common event, and sending an alert to a social network to enable access to a viewing perspective of the plurality of viewing perspectives.