Abstract:
A method for embedding a digital identification code in a digital recording, and tracking and cataloging the encoded digital recording. The digital signal and the code are received during broadcasts and transmissions. The receiving means has a monitoring means able to recognize and read the embedded code. The monitoring means then records several data, such as time, dates and duration and origin of the broadcasts or transmission. Such data can be retrieved in an easy to read form, thus enabling the end-user to identify the broadcast and transmitted works together with the parameters required to produce accurate royalty reports.
Abstract:
A digital audio broadcasting system incorporates a perceptual audio coder that encodes a digital audio signal for broadcast. A "source label" is provided by controlling the perceptual audio coder in such a way that the number of coefficient samples, n, used in each transmission frame represents information about the source. For example, if the value of n is odd, then a binary "1" is transmitted, but if the value of n is even, then a binary "0" is transmitted. As a result, a low-bit rate "source label" is transmitted over a number of frames. In a receiver, the source of the digital audio signal is identified by simply monitoring the value of n over the number of frames. More importantly, the value of n in each frame is required by a corresponding perceptual audio decoder, in the receiver, to correctly recover the digital audio signal. As a result, the "source label" is inseparable from the encoded digital audio signal since any tampering of the value of n after transmission distorts not only the "source label" but affects the recovery of the digital audio signal as well.
Abstract:
Disclosed example people monitoring methods include detecting a first watermark in a first audio signal obtained from an acoustic sensor, the first watermark identifying media presented by a monitored media device, determining whether a second watermark, different from the first watermark, is embedded in the first audio signal obtained from the acoustic sensor, the second watermark identifying at least one of a mobile device or a user of the mobile device, classifying the second watermark as a media watermark or a people monitoring watermark based on a characteristic of the second watermark, and when the second watermark is determined to be embedded in the first audio signal, reporting at least one of the second watermark or information decoded from the second watermark to identify at least one of the mobile device or the user of the mobile device as being exposed to the media presented by the monitored media device.
Abstract:
Disclosed example people monitoring methods include detecting a first watermark in a first audio signal obtained from an acoustic sensor, the first watermark identifying media presented by a monitored media device, determining whether a second watermark, different from the first watermark, is embedded in the first audio signal obtained from the acoustic sensor, the second watermark identifying at least one of a mobile device or a user of the mobile device, classifying the second watermark as a media watermark or a people monitoring watermark based on a characteristic of the second watermark, and when the second watermark is determined to be embedded in the first audio signal, reporting at least one of the second watermark or information decoded from the second watermark to identify at least one of the mobile device or the user of the mobile device as being exposed to the media presented by the monitored media device.
Abstract:
Methods and apparatus to determine a state of a media presentation device are disclosed. Example disclosed methods include generating a first set of weighted coefficients based on first audio received by first and second microphones at a first time. Example disclosed methods include generating a second set of weighted coefficients based on second audio received by the first and second microphones at a second time after the first time. Example disclosed methods include comparing the first set of coefficients and the second set of coefficients to generate a similarity value. Example disclosed methods include, when the similarity value satisfies a threshold, determining that the media presentation device is in a first state. Example disclosed methods include, when the similarity value does not satisfy the threshold, determining that the media presentation device is in a second state.
Abstract:
Disclosed is an audio watermark insertion method. The audio watermark insertion method includes performing a modulated complex lapped transform (MCLT) on a first audio signal, inserting a bit string of a watermark in the first audio signal obtained by performing the MCLT, performing an inverse modified discrete cosine transform (IMDCT) on the first audio signal in which the bit string is inserted, and obtaining a second audio signal, which is the first audio signal in which the watermark is inserted, by performing an overlap-add on a signal obtained by performing the IMDCT and a neighbor frame signal.
Abstract:
Methods and apparatus to adaptively gather audience information data are disclosed. The disclosed methods and apparatus monitor system factor(s) and select one or more sensors from a plurality of sensors positioned to gather audience measurement data based on the monitored factor(s). Thus, the disclosed methods and apparatus adapt to the conditions they face by selecting an amount and/or type of audience measurement data they gather.
Abstract:
Example methods disclosed herein include associating a first data pattern obtained from a first sequence of watermarks detected by a first media monitor at a first time with a first transmission of first media when the first sequence of watermarks include a first identifier associated with the first media. Disclosed example methods also include associating a second data pattern obtained from a second sequence of watermarks detected by the first media monitor at a second time with a second transmission of the first media when the second sequence of watermarks include the first identifier associated with the first media. Disclosed example methods further include comparing a third data pattern obtained from a third sequence of watermarks detected by a second media monitor with the first and second data patterns to determine whether the second media monitor monitored the first transmission or the second transmission of the first media.
Abstract:
Methods and apparatus to verify and/or correct media lineup information are disclosed. An example method includes accessing, by executing an instruction with a processor, a script received from an audience measurement entity. The method further includes executing, with the processor, the script to tune a set top box to respective ones of a plurality of channels. The method further includes collecting, by executing an instruction with the processor, media identification data associated with the respective ones of the channels. The method further includes transmitting media presentation data to the audience measurement entity, the media presentation data mapping the media identification data to the respective ones of the channels.
Abstract:
Methods and apparatus to adaptively gather audience information data are disclosed. The disclosed methods and apparatus monitor system factor(s) and select one or more sensors from a plurality of sensors positioned to gather audience measurement data based on the monitored factor(s). Thus, the disclosed methods and apparatus adapt to the conditions they face by selecting an amount and/or type of audience measurement data they gather.