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:
Speaker content generated in an audio conference is selectively visually represented. A profile for each audience member who participates in the audio conference is obtained. Speaker content spoken during the audio conference is monitored. Words of the speaker content are classified to have different weights according to a parameter of the profile for each of the audience members. A relation between the speaker content to the profile for each of the audience members is determined. Different visual representations of the speaker content are presented to different ones of the audience members based on the determined relation.
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 brokering device that manages multimedia information includes an interface device having access to a network and a multimedia service provider. The interface device enables selection of multimedia information from the network, and provides the selected multimedia information to a plurality of locations without requiring the user to specify a protocol associated with the multimedia information.
Abstract:
A content summary is generated by determining a relevance of each of a plurality of scenes, removing at least one of the plurality of scenes based on the determined relevance, and creating a scene summary based on the plurality of scenes. The scene summary is output to a graphical user interface, which may be a three-dimensional interface. The plurality of scenes is automatically detected in a source video and a scene summary is created with user input to modify the scene summary. A synthetic frame representation is formed by determining a sentiment of at least one frame object in a plurality of frame objects and creating a synthetic representation of the at least one frame object based at least in part on the determined sentiment. The relevance of the frame object may be determined and the synthetic representation is then created based on the determined relevance and the determined sentiment.
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 and apparatus for displaying a plurality of secondary images based on image data of a primary image include displaying a primary image and a plurality of secondary images based on the image data of the primary image. Each of the plurality of secondary images is displayed having a size based on a relevance of each respective one of the plurality of secondary images to the primary image. The primary image can be selected from a plurality of images or a frame of a video. Subsets of secondary images can be displayed in clusters including images having content similar to particular content of the primary image.
Abstract:
Disclosed herein are systems, methods, and computer-readable media for transmedia video bookmarks, the method comprising receiving a first place marker and a second place marker for a segment of video media, extracting metadata from the video media between the first and second place markers, normalizing the extracted metadata, storing the normalized metadata, first place marker, and second place marker as a video bookmark, and retrieving the media represented by the video bookmark upon request from a user. Systems can aggregate video bookmarks from multiple sources and refine the first place marker and second place marker based on the aggregated video bookmarks. Metadata can be extracted by analyzing text or audio annotations. Metadata can be normalized by generating a video thumbnail representing the video media between the first place marker and the second place marker. Multiple video bookmarks may be searchable by metadata or by the video thumbnail visually.
Abstract:
A method and apparatus for displaying a plurality of secondary images based on image data of a primary image include displaying a primary image and a plurality of secondary images based on the image data of the primary image. Each of the plurality of secondary images is displayed having a size based on a relevance of each respective one of the plurality of secondary images to the primary image. The primary image can be selected from a plurality of images or a frame of a video. Subsets of secondary images can be displayed in clusters including images having content similar to particular content of the primary image.