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.

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 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 system, method and computer-readable media are introduced that relate to data coding and decoding. A computing device encodes received data such as video data into a base layer of compressed video and an enhancement layer of compressed video. The computing device controls drift introduced into the base layer of the compressed video. The computing device, such as a scalable video coder, allows drift bay predicting the base layer from the enhancement layer information. The amount of drift is managed to improve overall compression efficiency.

Abstract: A system, method and computer-readable media are introduced that relate to data coding and decoding. A computing device encodes received data such as video data into a base layer of compressed video and an enhancement layer of compressed video. The computing device controls drift introduced into the base layer of the compressed video. The computing device, such as a scalable video coder, allows drift by predicting the base layer from the enhancement layer information. The amount of drift is managed to improve overall compression efficiency.

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 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.

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 that incorporates teachings of the subject disclosure may include, for example, determining, by a system comprising a processor, more common features of a plurality of images according to similarity matrices indicating relative similarities between instances of common features occurring within multiple images of the plurality of images, defining, by the system, cluster groups associated with the more common features, where each cluster group comprises cluster images of the plurality of images, and where the more common features are present in each the cluster images, and performing, by the system, quality-based filtering on the cluster images to identify a target cluster image to represent the cluster images for each of the cluster groups. Other embodiments are disclosed.

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 system that incorporates teachings of the present disclosure may include, for example, sampling a variable effect distribution of viewing preference data to determine a first set of effects comprising a plurality of first distortion type effects associated with a first distortion type of a first image and to determine a second set of effects comprising a plurality of second distortion type effects associated with the second distortion type of a second image, calculating a preference estimate from a logistic regression model of the viewing preference data according to the first set of effects and the second set of effects, wherein the preference estimate comprises a probability that the first image is preferred over the second image, and selecting one of the first distortion type or the second distortion type according to the preference estimate. Other embodiments are disclosed.

Abstract: A system, process and software that incorporate the subject disclosure may include, for example, identifying a condition that causes an impaired perception of an original media content item during a presentation. A media content modification is determined, wherein application of the media content modification to the original media content item results in a modified media content item. The modified media content item, when presented to the media presentation device, ameliorates the impaired perception of the media content item. The media content modification is applied to the original media content item resulting in the modified media content item. The modified media content item is presented at the media presentation device contemporaneously with the original media content item, allowing different viewers to observe the modified media content item simultaneously with the original. 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: 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. Other embodiments are disclosed.

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 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 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.

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.