Disclosed herein is method and system for prioritizing content for content processing by Multichannel Video Programming Distributors (MVPD). The system upon receiving multimedia content, determines premium quality vector for multimedia content. Further, system segments multimedia content into one or more segments and determines a complexity vector and social media vector for each segment. The complexity vector is identified based on scene transitions and complexity of scene in the segment. The social media vector is identified based on trend, popularity and viral nature of segment. The system assigns weightage to each segment using a machine learning model based on complexity vector, social media vector and premium quality vector. Based on weightage, system prioritizes segments for content processing. In this manner, present disclosure prioritizes content which needs to be first processed to reduce overall content processing time.

A video-on-demand (VOD) content delivery system has a VOD Application Server which manages a database of templates for presentation of video content elements of different selected types categorized in hierarchical order. A web-based Content Management System receives content uploaded online in file formats with metadata for title and topical area, and automatically converts it into video data format compatible with the VOD content delivery system indexed by title and topical area. A User Interface for the system delivers listings data to the viewer's TV indexed by title and topical area specified by the uploaded metadata.

Disclosed herein is method and system for prioritizing content for content processing by Multichannel Video Programming Distributors (MVPD). The system upon receiving multimedia content, determines premium quality vector for multimedia content. Further, system segments multimedia content into one or more segments and determines a complexity vector and social media vector for each segment. The complexity vector is identified based on scene transitions and complexity of scene in the segment. The social media vector is identified based on trend, popularity and viral nature of segment. The system assigns weightage to each segment using a machine learning model based on complexity vector, social media vector and premium quality vector. Based on weightage, system prioritizes segments for content processing. In this manner, present disclosure prioritizes content which needs to be first processed to reduce overall content processing time.

Linear content holds great value to consumers, and by delivering it to consumers on demand, service providers can improve the user experience for their consumers. A consumer requests linear on demand content by selecting channels and time ranges or content items, or bundles thereof, which the service provider broadcasts as linear content. The requested content is broadcast, and repackaged as an unbroken block of content for the consumer during the requested time range or the duration of the content item. By repackaging the linear on demand content, the service provider may provide greater options to consumers without significantly increasing the amount of bandwidth used in its network to deliver that content. Channel guides and viewing features are tailored for the requested content to further improve the user experience.

Aspects of the subject disclosure may include, for example, receiving first data from each media publishing system of a plurality of media publishing systems which facilitate a presentation of media content with one or more procurable media content slots, where the first data from each media publishing system have incompatible data structures; mapping the first data from each media publishing system to second data which has a common data structure; receiving a target description from a media procurement system, the target description including information to procure media content slots provided by one or more of the plurality of media publishing systems; comparing the target description to the second data in the common data format; identifying from the comparing at least one procurable media content slot provided by one or more media publishing systems that correlates to the target description; receiving first viewership data associated with viewership of media content presentations that include the at least one procurable media content slot; generating according to the first viewership data an estimated viewership size associated with the viewership of media content presentations that include the at least one procurable media content slot; and providing, by the processing system, the estimated viewership size to the media procurement system. Other embodiments are disclosed.

Methods, systems, and media for providing dynamic media sessions with audio stream expansion features are provided. In some embodiments, the methods include: receiving an indication that audio content associated with a video content item is to be presented by a follower device synchronously with the audio content presented by the leader device; identifying candidate follower devices by determining whether devices connected to a local area network are capable of being designated as a follower device; causing a user interface to be presented that indicates each candidate follower device; receiving, via the user interface, a selection of one of the candidate follower devices; and transmitting, from the leader to the selected follower device, control instructions that cause the audio content associated with the video content item to be presented synchronously by the selected follower device with the video content item presented by the leader device.

A video-on-demand (VOD) content delivery system has a VOD Application Server which manages a database of templates for presentation of video content elements of different selected types categorized in hierarchical order. A web-based Content Management System receives content uploaded online in file formats with metadata for title and topical area, and automatically converts it into video data format compatible with the VOD content delivery system indexed by title and topical area. A User Interface for the system delivers listings data to the viewer's TV indexed by title and topical area specified by the uploaded metadata.

A technology for presenting content enables a receipt of a request over a network for a content from a computer, a determination of a characteristic of the computer and a location of the computer based at least in part on the request, a match of the characteristic and the location against a rule, a selection of a player based at least in part on the match, and a facilitation of a stream of the content via the player over the network to the computer based at least in part on the selection.

A method, a device, and a non-transitory storage medium are provided to receive network resource information pertaining to a network, and generate timeslot information pertaining to a network based on the network resource information. The timeslot information may indicate a date, a time period, a geographic service area, and quality of service parameters in which the network resource is available for use by subscribers of a multicast service to deliver programs. The timeslot information and cost information are published, and the OTT multicast service provisions the delivery of programs using timeslots secured by the subscribers.

In accordance with embodiments, there are provided mechanisms and methods for facilitating criteria-based cost-efficient routing and deployment of metadata packages in an on-demand services environment according to one embodiment. In one embodiment and by way of example, a method comprises analyzing, by a metadata costing server computing device, characteristics of a metadata package awaiting deployment, where analyzing includes matching the characteristics with predefined criteria associated with deployment of metadata packages. The method may further include routing, by the metadata server, the metadata package for real-time deployment if the characteristics satisfy the criteria, where the real-time deployment allows for bypassing of message queues associated with standard deployment.