Abstract: In one example, a method includes sending, from a mobile device and to a remote server, a message indicating a first captured image corresponds to a first sample image in response to determining that the degree of similarity between the first captured image and the first sample image is within a first similarity interval. The method includes sending, to the remote server, a message representing at least part of a second captured image in response to determining that the degree of similarity between the second captured image and a second sample image is within a second similarity interval. The method also includes refraining from sending a message associated with a third captured image to the server in response to determining that the degree of similarity between the third captured image and a third sample image is within the first or second similarity intervals.

Abstract: In general, embodiments of the present disclosure are directed to techniques for determining a user's potential exposure to defined audio content (e.g., television and audio advertisements) using a mobile device. In one example, a method includes receiving first audio content. The method further includes generating a first digital representation of the first audio content. The method also includes accessing a data structure, wherein the data structure contains at least a second digital representation of at least second audio content. The method also includes comparing the first digital representation to at least the second digital representation contained in the data structure and if there is a match between the first digital representation and at least the second digital representation contained in the data structure, transmitting a message to a remote server indicating the match.

Abstract: Television reporting records are accessed and processed to generate frequency specific reach values and device frequencies for creatives (e.g., television advertisements). The device frequencies indicating the number of times a creative was presented by use of a particular viewing device. The frequency specific reach values indicating the number of unique viewing devices that were used to present the creative a specified number of times. Estimating frequency specific reach values and device frequencies for a creative for a viewing population. The estimated frequency specific reach values and device frequencies for the viewing population are based on known viewing pattern data for multiple creative airings from a sample of the viewing population (e.g., a subset of the viewing population) and estimated viewing pattern data for the airings for the viewing population.

Abstract: Aspects of a system and method for providing indoor navigation services are described herein. Aspects of the disclosure provide an efficient method for identifying a location of a client device using accelerometers, gyroscopes, cameras, and/or position markers. Elements of the system relate to the determination of particular user locations by receiving location information pertaining to position markers from a remote server. A client device may identify a position marker using a camera, a Radio Frequency Identification (RFID) chip, or other method. An identifier describing the position marker may be sent to a remote server, and the remote server may provide a precise location to the client device.

Abstract: In general, embodiments of the present disclosure are directed to techniques for determining a user's potential exposure to defined audio content (e.g., television and audio advertisements) using a mobile device. In one example, a method includes receiving first audio content. The method further includes generating a first digital representation of the first audio content. The method also includes accessing a data structure, wherein the data structure contains at least a second digital representation of at least second audio content. The method also includes comparing the first digital representation to at least the second digital representation contained in the data structure and if there is a match between the first digital representation and at least the second digital representation contained in the data structure, transmitting a message to a remote server indicating the match.

Abstract: In general, embodiments of the present disclosure are directed to techniques for determining a user's potential exposure to defined audio content (e.g., television and audio advertisements) using a mobile device. In one example, a method includes receiving first audio content. The method further includes generating a first digital representation of the first audio content. The method also includes accessing a data structure, wherein the data structure contains at least a second digital representation of at least second audio content. The method also includes comparing the first digital representation to at least the second digital representation contained in the data structure and if there is a match between the first digital representation and at least the second digital representation contained in the data structure, transmitting a message to a remote server indicating the match.

Abstract: Set top box logs are received from a television provider and processed to identify channel tunes and channel tune times. The channel tunes and channel tune times of the log data can be compared to expected air times of television advertisements on channels, and an impression values, e.g., projected viewers, can be generated for each television advertisement.

Abstract: Television reporting records are accessed and processed to generate frequency specific reach values and device frequencies for creatives (e.g., television advertisements). The device frequencies indicating the number of times a creative was presented by use of a particular viewing device. The frequency specific reach values indicating the number of unique viewing devices that were used to present the creative a specified number of times. Estimating frequency specific reach values and device frequencies for a creative for a viewing population. The estimated frequency specific reach values and device frequencies for the viewing population are based on known viewing pattern data for multiple creative airings from a sample of the viewing population (e.g., a subset of the viewing population) and estimated viewing pattern data for the airings for the viewing population.

Abstract: Set top box logs are received from a television provider and processed to compensate for broadcast latency and generate normalized log data, e.g., log data that are indexed to a relative time. Channel tunes and the channel tune times of the normalized log data can be compared to expected air times of television advertisements on channels, and an impression values, e.g., projected viewers, can be generated for each television advertisement.

Abstract: Reporting data related to content processing devices, e.g., television devices, are processed to identify channel tunes and corresponding tune times of the content processing devices. Automatically generated channel tunes based on the corresponding tune times are identified. Content items that are aired during a time period defined by the corresponding tune times can be adjusted.

Abstract: Systems and methods can be used to adjust an advertising budget associated with an advertising item based on forecast performance of a media item associated with the advertising item. The advertising budget can be reconciled based upon measured impressions associated with the advertising item.

Abstract: Reporting data related to content processing devices, e.g., television devices, are processed to identify channel tunes and corresponding tune times of the content processing devices. Automatically generated channel tunes based on the corresponding tune times are identified. Content items that are aired during a time period defined by the corresponding tune times can be adjusted.

Abstract: Television reporting records are accessed and processed to generate frequency specific reach values and device frequencies for creatives (e.g., television advertisements). The device frequencies indicating the number of times a creative was presented by use of a particular viewing device. The frequency specific reach values indicating the number of unique viewing devices that were used to present the creative a specified number of times. Estimating frequency specific reach values and device frequencies for a creative for a viewing population. The estimated frequency specific reach values and device frequencies for the viewing population are based on known viewing pattern data for multiple creative airings from a sample of the viewing population (e.g., a subset of the viewing population) and estimated viewing pattern data for the airings for the viewing population.

Abstract: The subject matter of this specification can be embodied in, among other things, a method that includes receiving cluster information comprising categories and total numbers of media receivers (e.g. television (TV) viewers) associated with the categories and receiving sample data comprising numbers of advertisements (ads) displayed to sampled receivers (e.g., TV viewers) that are classified within the categories. The method also includes calculating probabilities for numbers of ads displayed to the total numbers of receivers associated with the categories, wherein the calculation is based on the cluster information and the sample data, merging the calculated probabilities associated with two or more of the categories, and outputting an estimated number of ads displayed based on the merged probabilities.

Abstract: Reporting data related to content processing devices, e.g., television devices, are processed to identify channel tunes and corresponding tune times of the content processing devices. Automatically generated channel tunes based on the corresponding tune times are identified. Content items that are aired during a time period defined by the corresponding tune times can be adjusted.

Abstract: Set top box logs are received from a television provider and processed to identify channel tunes and channel tune times. The channel tunes and channel tune times of the log data can be compared to expected air times of television advertisements on channels, and an impression values, e.g., projected viewers, can be generated for each television advertisement.

Abstract: Set top box logs are received from a television provider and processed to compensate for broadcast latency and generate normalized log data, e.g., log data that are indexed to a relative time. Channel tunes and the channel tune times of the normalized log data can be compared to expected air times of television advertisements on channels, and an impression values, e.g., projected viewers, can be generated for each television advertisement.