A method includes accessing, at a media content provider system, a media stream corresponding to a first media content item. The method further includes generating a media content file based on the media stream and a second media content item that is different than the first media content item. A first portion of the media content file may include media data of the media stream, and a second portion of the media content file may include header data and an indicator of a location of the second media content item.

Methods, apparatus, systems, and articles of manufacture are disclosed to generate audience metrics for connected television. An example system includes at least one memory, programmable circuitry, and instructions to cause the programmable circuitry to obtain media access data corresponding to connected television media and a user identifier corresponding to a media access device, generate, using a machine learning model, probability values for corresponding audience demographics in a household composition corresponding to the user identifier, the probability values indicative of likelihoods that corresponding ones of the audience demographics are accessing the connected television media, determine a person-level characteristic based on the probability values of the audience demographics, the person-level characteristic corresponding to an audience member of the connected television media, and assign the media access data to the person-level characteristic.

The embodiments disclose a method including capturing video footage of a youth sports event using at least one video camera with a mobile application installed, transmitting to at least one network server with internet and WI-FI connectivity mobile application multi-camera live-streaming video camera captured game footage, recording on at least one database coupled to the network server at least one video camera mobile application multi-camera live-streaming video camera captured game footage, using at least one network computer coupled to at least one network server configured for processing and displaying multi-camera live-streaming video camera captured game footage for live video streaming game broadcast on a plurality of subscribed viewer digital devices, and mixing advertising into the processed multi-camera live-streaming video camera captured game footage broadcast using the at least one network computer.

Systems and methods are disclosed for optimizing data element usage according to user-defined objectives, comprising receiving a plurality of user-defined objectives associated with a group of data elements; receiving one or more constraints associated with the group of data elements, wherein at least one of the constraints comprises resources apportionable to each data element in the group of data elements; apportioning at least a portion of the resources to each data element in the group of data elements in a manner that meets the one or more constraints; receiving metrics associated with the performance of the group of data elements in meeting the plurality of user-defined objectives; determining an effectiveness of each data element in the group of data elements for meeting the plurality of user-defined objectives; and automatically revising the at least a portion of resources associated with each data element in the group of data elements.

A media system replaces content in a first sequence of media content. The media system presents the first sequence of media content to an end-user and generates a fingerprint of the sequence of media content. The fingerprint is for comparison with a plurality of reference fingerprints so as to identify the first sequence of media content and determine a reference position within the first sequence of media content. The media system sends a request for a replacement sequence of content to a content replacement system, and receives replacement media content selected based on the identified first sequence of media content. The media system presents the replacement media content to the end-user instead of the first sequence of media content. Presenting the replacement media content begins at a position in the first sequence of media content that is determined based on the reference position.

Methods and systems are disclosed to monitor a media device via a universal serial bus (“USB”) port. An example method includes obtaining a voltage output by a UBS port of the media device and determining if the voltage exceeds a threshold. If the voltage exceeds the threshold, the example method includes determining the media device is in an on state. If the voltage does not exceed the threshold, the example method includes determining the media device is in an off state.

Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to assign respondents to geographic locations for audience measurement are disclosed. Example apparatus disclosed herein are to determine a set of constraints based on aggregate values of demographic features associated with respective ones of the geographic locations. Disclosed example apparatus are also to construct a model to return probabilities that respective ones the respondents are associated with the respective ones of the geographic locations, the model to have a set of parameters, respective ones of the parameters to be associated with respective ones of the constraints. Disclosed example apparatus are further to evaluate the model based on values of the set of parameters and values of the demographic features for a first one of the respondents to determine a set of probabilities that the first respondent is to be assigned to respective ones of the geographic locations.

Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for classifying media accounts of a media system into different demographic buckets based on media content data associated with the media accounts, where media content associated with a media account can be accessed by a plurality of members in a household of the media account. A demographic classifier can receive a plurality of media accounts, a plurality of sets of probability scores corresponding to the plurality of media accounts, and a plurality of demographic buckets. The demographic classifier can further estimate, based on public available information, an approximate number of media accounts of the plurality of media accounts belonging to a specific demographic bucket. The demographic classifier can further select the approximate number of media accounts to be included in a set of media accounts assigned to the specific demographic bucket.

Example methods, apparatus, systems, and articles of manufacture are disclosed to estimate population reach for different unions based on marginal ratings. An example method includes performing first parallel computations to determine first multipliers corresponding to a total number of panelists exposed to media at (a) a first margin of time, (b) a second margin of time, and (c) a union corresponding to the first and second margins of time, keeping a subset of the first multipliers corresponding to unknown census data; performing second parallel computation to determine second multipliers corresponding to a total audience exposed to the media at the first margin of time and the second margin of time, the second parallel computations to be performed by solving second equations corresponding to a tree association; and determining an estimate for a population reach of the union based on the second multipliers.

Methods, apparatus, systems, and articles of manufacture are disclosed to optimize projection of big data beyond its footprint. An example apparatus includes memory, instructions, and processor circuitry to access panel audience sizes corresponding to subscribers of a media provider, a subset of the subscribers of the media provider, and corresponding to a media network determine a relative percent difference between the third panel audience size and the fourth panel audience size, when the relative percent absolute difference satisfies a first threshold, determine percentages of demographic groups represented in the panel audience sizes, determine differences associated with the demographic groups, and when at least one of the differences corresponding to at least one of the demographic groups satisfies a second threshold, determine the subscribers, the subset of the subscribers, and the at least one of the demographic groups as useable to determine an audience size of the media network.