Methods and apparatus to perform audio watermarking and watermark detection and extraction are disclosed. Example apparatus include means for transforming an audio signal into a frequency domain representation, and means for determining characteristics of frequencies of the frequency domain representation that may contain the code. In some examples, the means for determining is to normalize the characteristics of the frequencies of the frequency domain representation in respective ones of the code bands that may contain the code to determine normalized characteristics of the frequencies representative of the code, a respective one of the code bands that may contain the code to be normalized against a first characteristic of a first frequency in that code band; sum the normalized characteristics of the frequencies representative of the code; determine the sum is representative of the code when the sum satisfies a threshold; and validate the code based on an encoding scheme.

Methods, apparatus, systems and articles of manufacture are disclosed for associating different watermarks detected in media. An example method disclosed herein includes determining whether a first watermark detected in a media signal is represented in a watermark data structure and associating the first watermark with a first media presentation record associated with a second watermark in response to the first watermark being associated in the watermark data structure with the second watermark. The example method further includes transmitting monitoring data including the first media presentation record to an audience measurement entity.

Example methods disclosed herein include accessing a secondary content schedule based on one or more watermarks detected in primary media content, the secondary content schedule to identify (i) one or more secondary content items and (ii) one or more first time values associated with the one or more secondary content items. Disclosed example methods also include comparing the one or more first time values associated with the one or more secondary content items in the secondary content schedule to second time values provided by a clock to determine whether to present a first one of the one or more secondary content items, the second time values based on a timestamp associated with the one or more watermarks detected in the primary media content. Disclosed example methods further include causing a media presentation device to display the first one of the secondary content items according to the secondary content schedule.

Example methods disclosed herein include accessing a secondary content schedule based on one or more watermarks detected in primary media content, the secondary content schedule to identify (i) one or more secondary content items and (ii) one or more first time values associated with the one or more secondary content items. Disclosed example methods also include comparing the one or more first time values associated with the one or more secondary content items in the secondary content schedule to second time values provided by a clock to determine whether to present a first one of the one or more secondary content items, the second time values based on a timestamp associated with the one or more watermarks detected in the primary media content. Disclosed example methods further include causing a media presentation device to display the first one of the secondary content items according to the secondary content schedule.

Systems and methods are presented for insertion of assets into a stream of content (e.g., audio and/or video programming). Such assets may be targeted to network users separate from the surrounding content and deliveries thereof confirmed. Among other things, these systems and methods enable a new advertising paradigm based on guaranteed delivery of targeted commercial impressions. In this regard, the systems and methods generally provide assets with broadcast network programming (e.g., via actual insertion and/or switching to an asset channel) based on actual audience observations. For example, asset providers may wish to target assets for delivery according to specific audience classifications (e.g., gender, income level, locale, age, etc.). Programming providers, such as television programmers and radio programmers (e.g., standard tower broadcast radio and satellite radio), may receive information from broadcast network users and insert the assets into available bandwidth based on that information.

An apparatus for transmitting broadcasting signal using transmitter identification scaled by 4-bit injection level code and method using the same are disclosed. An apparatus for transmitting broadcasting signal according to an embodiment of the present invention includes a waveform generator configured to generate a host broadcasting signal; a transmitter identification signal generator configured to generate a transmitter identification signal for identifying a transmitter, the transmitter identification signal scaled by an injection level code; and a combiner configured to inject the transmitter identification signal into the host broadcasting signal in a time domain so that the transmitter identification signal is transmitted synchronously with the host broadcasting signal.

An apparatus for transmitting broadcasting signal using transmitter identification scaled by 4-bit injection level code and method using the same are disclosed. An apparatus for transmitting broadcasting signal according to an embodiment of the present invention includes a waveform generator configured to generate a host broadcasting signal; a transmitter identification signal generator configured to generate a transmitter identification signal for identifying a transmitter, the transmitter identification signal scaled by an injection level code; and a combiner configured to inject the transmitter identification signal into the host broadcasting signal in a time domain so that the transmitter identification signal is transmitted synchronously with the host broadcasting signal.

A system comprises a first server including a port, a memory, a processor operatively coupled to the port and memory, and a service application for execution by the processor. The service application is configured to: receive identification information related to an over-the-air radio broadcast via the port of the first server, wherein the identification information is transmitted to the first server using a radio broadcast receiver remote from the first server; communicate a request for automatic content recognition (ACR) of an Internet-based streaming version of the over-the-air radio broadcast; and receive metadata associated with the over-the-air radio broadcast in response to the request and initiate transmission of the metadata to the radio broadcast receiver.

Methods and apparatus to audio watermarking and watermark detection and extracted are described herein. An example method includes receiving a media content signal, sampling the media content signal to generate samples, storing the samples in a buffer, determining a first sequence of samples in the buffer, determining a second sequence of samples in the buffer, wherein the second sequence of samples is of substantially equal length as the first sequence of samples, calculating an average of the first sequence of samples and the second sequence of samples to generate an average sequence of samples, extracting an identifier from the average sequence of samples, and storing the identifier in a tangible memory.

Methods and apparatus to audio watermarking and watermark detection and extracted are described herein. An example method includes receiving a media content signal, sampling the media content signal to generate samples, storing the samples in a buffer, determining a first sequence of samples in the buffer, determining a second sequence of samples in the buffer, wherein the second sequence of samples is of substantially equal length as the first sequence of samples, calculating an average of the first sequence of samples and the second sequence of samples to generate an average sequence of samples, extracting an identifier from the average sequence of samples, and storing the identifier in a tangible memory.