Methods and apparatus to detect blank images in a digital video broadcast signal are disclosed. An example method of detecting a blank image includes receiving a compressed digital image including a plurality of DC values, analyzing a total number of bits in the digital image to determine if the digital image has a data size small enough to be a blank frame candidate, if the data size is small enough for the digital image to be a blank frame candidate, analyzing multiple areas of the digital image to determine if the multiple areas exhibit substantially a same complexity, if the multiple areas exhibit substantially the same complexity, determining a number of DC values in the plurality of DC values that meet a criterion, comparing the determined number of DC values meeting the criterion to a threshold, and identifying the received digital image as a blank image if the determined number of DC values exceeds the threshold.

Embodiments of the present disclosure provide methods, systems, and apparatuses for computing a channel incrementality ratio using a machine learning model.

Methods and apparatus to perform an automated gain control protocol with an amplifier based on historical data corresponding to contextual data are disclosed. Example apparatus disclosed herein are to select an automatic gain control (AGC) parameter for an AGC protocol based on historical data corresponding to contextual data, the contextual data including at least one of a time during which the AGC protocol is performed, a panelist identified by a meter, demographics of an audience identified by the meter, a location of the meter, a station identified by the meter, a media type identified by the meter, or a sound pressure level identified by the meter. The disclosed example apparatus are also to perform the AGC protocol based on the selected AGC parameter.

Methods, systems and devices are provided for communicating multimedia content over a service provider network. A network server may receive an audio-video stream from a content provider server, relaying the audio-video stream to a receiver device via the service provider network, receive an operating mode notification identifying a user behavior from the receiver device, and ceasing the relaying of the audio-video stream to the receiver device based on the user behavior. The network server may also alter the audio-video stream based on the received operating mode notification and send the altered audio-video stream to the receiver device via the service provider network.

A method may comprise collecting data from a core network, an operator network and a customer premise network. KPI values corresponding to one or more KPIs may be determined, based on the collected data. KQI values corresponding to one or more KQIs may be determined, based on the one or more of the determined KPI values. The determined KQI values may be output to an operator. In an embodiment, data collected from the core network may include data collected from one or more analyzer devices and head end probes. Data collected from a customer premise network may include data collected from last mile equipment or customer premise probes.

A disclosed example meter to monitor a media device includes a touch sense circuit including a circuit input and a circuit output, the circuit input to electrically couple with a first power line of the meter and a capacitor, the circuit output to provide a first value based on the capacitor when the first power line of the meter is not electrically coupled with a second power line of the media device, the circuit output to provide a second value different from the first value when the first power line of the meter is electrically coupled with the second power line of the media device. The disclosed example meter also includes at least one processor to detect the first power line of the meter is not electrically coupled with the second power line of the media device when the circuit output of the touch sense circuit provides the first value.

A disclosed example meter to monitor a media device includes a touch sense circuit including a circuit input and a circuit output, the circuit input to electrically couple with a first power line of the meter and a capacitor, the circuit output to provide a first value based on the capacitor when the first power line of the meter is not electrically coupled with a second power line of the media device, the circuit output to provide a second value different from the first value when the first power line of the meter is electrically coupled with the second power line of the media device. The disclosed example meter also includes at least one processor to detect the first power line of the meter is not electrically coupled with the second power line of the media device when the circuit output of the touch sense circuit provides the first value.

Methods, apparatus, systems and articles of manufacture to reduce signature matching uncertainty in media monitoring systems are disclosed. Disclosed example apparatus are to compare first groups of monitored signatures representative of monitored media with second groups of reference signatures representative of respective reference media to determine a first sequence of match results for an observation period, the first and second groups to have a first size corresponding to a first number of signatures. Disclosed example apparatus are also to compare, in response to a discontinuity in the first sequence of signature match results, third groups of monitored signatures from the sequence of monitored signatures with fourth groups of reference signatures from the respective sequences of reference signatures to determine a second sequence of signature match results for the observation period, the third groups and the fourth groups to have a second size greater than the first size.

One or more hardware components identify a bottleneck stage within a processor pipeline that processes frames of a video stream. The bottleneck stage has a first clock. An upstream stage receives a feedback signal from the bottleneck stage. The upstream stage has a second clock and the feedback signal includes information as to time required by the bottleneck stage to operate on data and information as to time the data spent queued. The upstream stage adjusts the speed at which the upstream stage operates and queues data to approximate the speed at which the bottleneck stage is operating and queuing data.

One or more hardware components identify a bottleneck stage within a processor pipeline that processes frames of a video stream. The bottleneck stage has a first clock. An upstream stage receives a feedback signal from the bottleneck stage. The upstream stage has a second clock and the feedback signal includes information as to time required by the bottleneck stage to operate on data and information as to time the data spent queued. The upstream stage adjusts the speed at which the upstream stage operates and queues data to approximate the speed at which the bottleneck stage is operating and queuing data.