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, systems and methods aggregating video content and adjusting the aggregate video content according to a training model. The adjusted aggregate video content comprises a first subset of the images and does not comprise a second subset of the images. The first subset of the images is determined by the training model based on a plurality of categories corresponding to a plurality of events. The illustrative embodiments also include presenting the adjusted aggregate video content and receiving identifications for the first subset of the images in the aggregate video content. Further, the illustrative embodiments include adjusting the training model according to the identifications and providing the adjusted training model to a network device. Other embodiments are disclosed.

Abstract: A method and apparatus for a service platform capable of providing device-based task completion is disclosed. A request for a task is received at a service platform from a customer. A worker device to complete the task is selected from a group of worker devices registered with the service platform based on a current attribute of the worker device. Data resulting from completion of the task is received from the selected worker device, validated, and presented to the customer. A reward or incentive can be provided to the worker device in response to the data being received from the worker device and validated.

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: A method and apparatus for providing an opportunistic crowd based service platform is disclosed. A mobile sensor device is identified based on a current location and/or other qualities, such as intrinsic properties, previous sensor data, or demographic data of an associated user of the mobile sensor device. Data is collected from the mobile sensor device. The data collected from the mobile sensor device is aggregated with data collected from other sensor devices, and content generated based on the aggregated data is delivered to a user device.

Abstract: A system that incorporates the subject disclosure may perform operations, for example, including determining a first correlation value between a behavior of a first audience member and a subject matter being presented at a display processor, wherein the subject matter being presented at the display is observable by the first audience member. A second correlation value is determined between the behavior of the first audience member and a characteristic of an environment in a vicinity of the display and the first audience member. Responsive to the second correlation value exceeding the first correlation value, a determination is made as to whether a present channel selection resulting from user input initiated by the first audience member is responsive to the characteristic of the environment influencing the audience member more than the subject matter being presented at the display. Other embodiments are disclosed.

Abstract: A portable communication device has a touch screen display that receives tactile input and a microphone that receives audio input. The portable communication device initiates a query for media based at least in part on tactile input and audio input. The touch screen display is a multi-touch screen. The portable communication device sends an initiated query and receives a text response indicative of a speech to text conversion of the query. The portable communication device then displays video in response to tactile input and audio input.

Abstract: A method of detecting pre-determined phrases to determine compliance quality of an agent includes determining a presence of a predetermined input based on a comparison between stored pre-determined phrases and a received communication, and determining a compliance rating of the agent based on a presence of a pre-determined phrase associated with the predetermined input in the communication.

Abstract: A system and method is disclosed for processing viewer profiles and program metadata from a number of sources to provide viewing suggestions and recommendations to one or more viewers.

Abstract: A system, computer-implemented method, and tangible computer-readable media for media playback. The method includes receiving a request from a user to play a media asset, detecting capabilities of the playback device, detecting playback environment acoustic characteristics, optimizing media playback settings for the playback device and the playback environment characteristics, preparing the media asset for playback on the playback device, and transferring the prepared media asset to the playback device for playback. The method can further transfer optimized playback settings to the playback device. Media asset preparation can be based at least in part on the optimized playback settings. A playback profile can store environment characteristics and playback device capabilities. The method continuously detects changes in the playback environment characteristics, and optimizes media playback settings when detected changes exceed a threshold.

Abstract: Aspects of the subject disclosure may include, for example, systems and methods aggregating video content and adjusting the aggregate video content according to a training model. The adjusted aggregate video content comprises a first subset of the images and does not comprise a second subset of the images. The first subset of the images is determined by the training model based on a plurality of categories corresponding to a plurality of events. The illustrative embodiments also include presenting the adjusted aggregate video content and receiving identifications for the first subset of the images in the aggregate video content. Further, the illustrative embodiments include adjusting the training model according to the identifications and providing the adjusted training model to a network device. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a system and method for selecting media content for a group of persons located at a venue. The system and method identify a plurality of viewers in a vicinity of a venue that has one or more display devices from location data and extracts a content viewing preference of each viewer from their profile data. The process includes aggregating the content viewing preference of each of the plurality of viewers to generate an aggregated content profile. Based on the aggregated content profile, a list of content is generated. Next, a first group of viewers approaching a viewing range of a display device are sensed by imaging data. Any conflicts between content viewing preferences of the first group of viewers are detected and resolved based on weighting the viewing preferences of the group. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, systems and methods aggregating video content and adjusting the aggregate video content according to a training model. The adjusted aggregate video content comprises a first subset of the images and does not comprise a second subset of the images. The first subset of the images is determined by the training model based on a plurality of categories corresponding to a plurality of events. The illustrative embodiments also include presenting the adjusted aggregate video content and receiving identifications for the first subset of the images in the aggregate video content. Further, the illustrative embodiments include adjusting the training model according to the identifications and providing the adjusted training model to a network device. Other embodiments are disclosed.

Abstract: A method, computer-readable medium, and apparatus for modeling data of a service for providing a policy are disclosed. For example, a method may include a processor for generating a first policy for a first service by a first policy model using machine learning for processing first data of the first service, determining whether the first policy is to be applied to a second service, applying the first policy to the second service when the first policy is deemed to be applicable to the second service, wherein the applying the first policy provides the first policy to a second policy model using machine learning for processing second data of the second service, generating a second policy for the second service, and implementing the second policy in the second service, wherein the first service and the second service are provided by a single service provider.

Abstract: A method, computer-readable medium, and apparatus for modeling data of a plurality of services for providing a new service are disclosed. For example, a method may include a processor for generating a first policy from a first service by a first policy model using machine learning for processing first data of the first service, generating a second policy from a second service by a second policy model using machine learning for processing second data of the second service, wherein the first service and the second service are different, and implementing one or more functions for a new service using the first policy and the second policy.

Abstract: A method and apparatus for providing an opportunistic crowd based service platform is disclosed. A mobile sensor device is identified based on a current location and/or other qualities, such as intrinsic properties, previous sensor data, or demographic data of an associated user of the mobile sensor device. Data is collected from the mobile sensor device. The data collected from the mobile sensor device is aggregated with data collected from other sensor devices, and content generated based on the aggregated data is delivered to a user device.

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: A method and apparatus for a service platform capable of providing device-based task completion is disclosed. A request for a task is received at a service platform from a customer. A worker device to complete the task is selected from a group of worker devices registered with the service platform based on a current attribute of the worker device. Data resulting from completion of the task is received from the selected worker device, validated, and presented to the customer. A reward or incentive can be provided to the worker device in response to the data being received from the worker device and validated.

Abstract: Aspects of the subject disclosure may include, for example, facilitating access to a synopsis of a missed portion of a media program, identifying subject matter in a segment of content in the media program that has not been presented, determining a particular time for presenting the summary according to the subject matter in the segment of content, and initiating a presentation of the summary at the particular time. 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.