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:
A mobile device that incorporates the subject disclosure may perform, for example, operations including requesting transport characteristics of a network coupled to a server and to the device according to a trajectory of the device. Data packets are transported to the mobile device according to a dynamic adaptive streaming over hypertext transfer protocol. The operations include obtaining the current transport characteristics of the network and predicting a future transport characteristic of the network, according to the trajectory of the device. A time is scheduled for sending a request to the server for transmission over the network of a data packet. The time can be scheduled according to the current and future transport characteristics of the network, to avoid degradation in quality of media content presented by the device. The data packet received responsive to sending the request is buffered for a future presentation of the media content. Other embodiments are disclosed.
Abstract:
Network connectivity is used to share relevant visual and other sensory information between vehicles, as well as delivering relevant information provided by network services to create an enhanced view of the vehicle's surroundings. The enhanced view is presented to the occupants of the vehicle to provide an improved driving experience and/or enable the occupants to take proper action (e.g., avoid obstacles, identify traffic delays, etc.). In one example, the enhanced view comprises information that is not visible to the naked eye and/or cannot be currently sensed by the vehicle's sensors (e.g., due to a partial or blocked view, low visibility conditions, hardware capabilities of the vehicle's sensors, position of the vehicle's sensors, etc.).
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:
Network connectivity is used to share relevant visual and other sensory information between vehicles, as well as delivering relevant information provided by network services to create an enhanced view of the vehicle's surroundings. The enhanced view is presented to the occupants of the vehicle to provide an improved driving experience and/or enable the occupants to take proper action (e.g., avoid obstacles, identify traffic delays, etc.). In one example, the enhanced view comprises information that is not visible to the naked eye and/or cannot be currently sensed by the vehicle's sensors (e.g., due to a partial or blocked view, low visibility conditions, hardware capabilities of the vehicle's sensors, position of the vehicle's sensors, etc.).
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:
Aspects of the subject disclosure may include, for example, a machine-readable medium with executable instructions that facilitate performance of operations by a processor including receiving a registration for a trajectory of a satellite; estimating a zone of occupancy at a future time for the satellite; determining an interference of the satellite from the zone of occupancy at the future time; determining a deconfliction for minimizing or eliminating the interference; and sending the deconfliction to a controller of the satellite. Other embodiments are disclosed.
Abstract:
Aspects of the subject disclosure may include, for example, a device with a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of ingesting facilities infrastructure data for more than one facility; training a machine-learning (ML) model from the facilities infrastructure data, wherein the ML model infers features absent in the facilities infrastructure data and yields a score of a facility described by the facilities infrastructure data; receiving a query for a region from a user; identifying one or more facilities provided in the region; generating a map of the one or more facilities using the ML model; and providing a visualization interface to the user including the map and the score of the one or more facilities responsive to the query. Other embodiments are disclosed.