In one aspect, a method includes (i) accessing broadcast-schedule data associated with a channel; (ii) using the accessed broadcast-schedule data to identify an upcoming content-modification opportunity on the channel; and (iii) responsive to identifying the upcoming content-modification opportunity on the channel, performing an action to facilitate performing a content-modification operation related to the identified upcoming content-modification opportunity on the channel, wherein performing the action comprises causing in-band message data to be inserted into at least a portion of a content segment that is being transmitted by a content-distribution system on the channel.

Disclosed embodiments provide methods and systems to capture, persist, and access a real-time audio stream and metadata associated with a radio broadcast. The real-time audio stream is captured on an audio capture device comprising a real-time clock. The audio is associated with the points in time it is captured with time markers. In embodiments, the audio is encoded for transmission with the time markers to a remote server. After being captured, encoded, and associated with time markers, the audio is transmitted to a remote server for archiving. Client devices are used to provide access to archived content. Clients request portions of the real-time audio stream from the remote server, and identify the portions they are requesting by including in their request either real-time bounds, or other information which is associated on the remote server with real-time bounds, such as content descriptor types.

A system includes a networked device configured to generate a fingerprint data, a first server configured to generate content identification data based on the fingerprint data, and a second server configured to: match the content identification data generated through the first server to an identification data of the networked device, and match the identification data of the networked device to an identification data of a user.

Systems, methods, and computer-readable media are disclosed for systems and methods for latency detection for streaming video. Example methods may include receiving a request to determine a time to first frame for video content, determining a streaming service and a playback device associated with the request, and determining a time at which playback of the content is initiated. Example methods include capturing a playback sequence of the video content, classifying individual frames of the playback sequence, where each classification is associated with a probability value indicative of a likelihood the frame is a first frame, analyzing classifications of the individual frames, and determining, based at least in part on the analysis of the classifications of the individual frames, the time to first frame for the video content.

Methods, apparatus, systems and articles of manufacture are disclosed for media crediting and, more particularly, methods and apparatus of media device detection for minimally invasive media meters. An example apparatus disclosed herein to detect media devices presenting media comprises a cluster generator including circuitry to generate a cluster of media locations based on media identifying information received from a presentation of media at an unidentified media device, a media device including circuitry determiner to determine media devices available at the media locations in the cluster of media locations, and a cluster based media device identifier including circuitry to identify the unidentified media device based on (1) the media devices available at the media locations in the cluster of media locations and (2) an identity of a media device determined to be available in a majority of media locations in the cluster of media locations.

Methods, apparatus, systems and articles of manufacture are disclosed herein include correlating first network traffic data collected by a network meter to streaming data collected by a media presentation device meter; determining second network traffic data that pertains to streaming media streaming on a streaming device, the second network traffic data based on the first network traffic data; and generating a traffic profile based on a relationship between the second network traffic data and the streaming media streaming on a streaming device.

Methods, apparatus, systems and articles of manufacture are disclosed herein include correlating first network traffic data collected by a network meter to streaming data collected by a media presentation device meter; determining second network traffic data that pertains to streaming media streaming on a streaming device, the second network traffic data based on the first network traffic data; and generating a traffic profile based on a relationship between the second network traffic data and the streaming media streaming on a streaming device.

Techniques for identifying aired content are described. A first audio sample is received and processed, using a computer processor, to extract an embedded audio watermark. A content identifier identifying a first item of programming content is determined, using the computer processor and based on the audio watermark. A timestamp associated with the first audio sample is also determined based on the audio watermark. An as-aired log is updated based on the content identifier and the timestamp. The computer processor is used to identify that the first item of programming content has aired, based on the as-aired log.

Apparatus, systems, articles of manufacture, and methods for viewer authentication are disclosed. An example system includes a comparator to access audio metering data received from a user device and determine a level of exposure of a user of the user device to a program based on the audio metering data. The example system also includes a calculator to determine a weighting score based on the level of exposure. In addition, the example system includes a tallier to access voting data received from the user device for a ballot presented in the program and scale the voting data based on the weighting score.

A consensus-based approach can be used to determine content that was provided by one or more sources over a period of time. Devices receiving or obtaining the content can analyze the content to generate a fingerprint or other representation of the received content. The fingerprint data from the various devices can be aggregated and analyzed to determine whether a consensus can be reached as to an identity of the content that was received. Information for the identified content can then be used to generate a schedule of times at which various instances of content were provided by the one or more sources.