Abstract: Methods, apparatus, systems, and articles of manufacture to identify an episode number based on fingerprint and matched viewing information are disclosed. An example method includes processing meter data to identify a presented media based on a bumper included in a media, filtering the meter data based on the identification of the media, selecting a candidate episode, the candidate episode not associated with a known episode label, determining whether the candidate episode appears sequentially after a known episode for a threshold number of presentation locations, and labeling the candidate episode as the next sequential episode after the known episode in response to determining that the candidate episode appears sequentially after the known episode for the threshold number of presentation locations.

Abstract: Methods, apparatus, systems and articles of manufacture to perform media device asset qualification are disclosed. An example apparatus includes at least one memory, and at least one processor to execute instructions to at least identify a first set of candidate media device assets for disqualification, the candidate media device assets including A) a signature and B) a media identifier that identifies media, generate a hash table using a second set of the candidate media device assets, determine one or more counts of matches between C) a first signature and a first media identifier of a first candidate media device asset of the second set and D) respective signatures and media identifiers of multiple ones of the second set using the hash table, the multiple ones of the second set not including the first candidate media device asset, and load the first signature into a reference database as a reference signature.

Abstract: Methods, apparatus, systems, and articles of manufacture to identify an episode number based on fingerprint and matched viewing information are disclosed. An example method includes processing meter data to identify a presented media based on a bumper included in a media, filtering the meter data based on the identification of the media, selecting a candidate episode, the candidate episode not associated with a known episode label, determining whether the candidate episode appears sequentially after a known episode for a threshold number of presentation locations, and labeling the candidate episode as the next sequential episode after the known episode in response to determining that the candidate episode appears sequentially after the known episode for the threshold number of presentation locations.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for identification of streaming activity and source for cached media on streaming devices. An example system stores, in a content identification information library, first content identification information of a first media presentation, wherein the first media presentation is a streamed media presentation; inspects a network connection of a media streaming device for network activity associated with a second media presentation; determine, in response to an absence of the network activity, the second media presentation is a cached media presentation; infers a streaming source of the second media presentation by matching second content identification information of the second media presentation with the first content identification information of the first media presentation; and generates a second media credit for the second media presentation that includes an inferred streaming source identifier.

Abstract: Methods, apparatus, systems, and articles of manufacture to identify an episode number based on fingerprint and matched viewing information are disclosed. An example method includes processing meter data to identify a presented media based on a bumper included in a media, filtering the meter data based on the identification of the media, selecting a candidate episode, the candidate episode not associated with a known episode label, determining whether the candidate episode appears sequentially after a known episode for a threshold number of presentation locations, and labeling the candidate episode as the next sequential episode after the known episode in response to determining that the candidate episode appears sequentially after the known episode for the threshold number of presentation locations.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed selectively generating and storing hashed reference signatures. An example method disclosed herein determining whether watermark coverage of a first media segment satisfies a dropout constraint, the first media segment corresponding to a first monitoring time interval of a media source feed and, when the watermark coverage of the first media segment does not satisfy the dropout constraint hashing first media signatures associated with the first media segment to generate corresponding first hashed signatures and generating first reference data for the first media segment, the first reference data including the first hashed signatures and the first media signatures. The example method further includes, when the watermark coverage of the first media segment satisfies the dropout constraint, generating second reference data for the first media segment, the second reference data including the first media signatures.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for identification of streaming activity and source for cached media on streaming devices.

Abstract: Methods, apparatus, systems and articles of manufacture to identify media sources are disclosed. Example apparatus disclosed herein include an exclusivity determiner, a unique asset identifier, and a signature matcher. The exclusivity determiner is to determine whether media is exclusive to a provider. The unique asset identifier is to associate a first signature of the media with the provider if the media is exclusive to the provider. The signature matcher is to identify the provider based on a second signature, the second signature matching the first signature, the second signature extracted from media presented at a media presentation location.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to identify candidates for media asset qualification. Example apparatus disclosed herein include a media creditor to determine whether to credit a first media asset to linear media or non-linear media, the non-linear media including subscription video on demand (SVOD). Disclosed example apparatus also include a media asset candidate controller to: classify the first media asset as a non-candidate for media asset qualification in response to the first media asset being credited to the linear media or the non-linear media. In some examples, the media asset candidate controller is to determine whether to classify the first media asset as a candidate for media asset qualification based on whether the first media asset remains uncredited by the media creditor and the first media asset overlaps a streaming period.

Abstract: Methods, apparatus, systems and articles of manufacture to perform media device asset qualification are disclosed. An example apparatus includes at least one memory, and at least one processor to execute instructions to at least identify a first set of candidate media device assets for disqualification, the candidate media device assets including A) a signature and B) a media identifier that identifies media, generate a hash table using a second set of the candidate media device assets, determine one or more counts of matches between C) a first signature and a first media identifier of a first candidate media device asset of the second set and D) respective signatures and media identifiers of multiple ones of the second set using the hash table, the multiple ones of the second set not including the first candidate media device asset, and load the first signature into a reference database as a reference signature.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed selectively generating and storing hashed reference signatures. An example method disclosed herein determining whether watermark coverage of a first media segment satisfies a dropout constraint, the first media segment corresponding to a first monitoring time interval of a media source feed and, when the watermark coverage of the first media segment does not satisfy the dropout constraint hashing first media signatures associated with the first media segment to generate corresponding first hashed signatures and generating first reference data for the first media segment, the first reference data including the first hashed signatures and the first media signatures. The example method further includes, when the watermark coverage of the first media segment satisfies the dropout constraint, generating second reference data for the first media segment, the second reference data including the first media signatures.

Abstract: Methods, apparatus, systems, and articles of manufacture to accurately credit streaming sessions are disclosed. A meter device records streaming session information. Cluster creation circuitry trains a model by grouping information from multiple streaming sessions into clusters, wherein all streaming sessions within a given cluster have matching media and streaming sources. Model executor circuitry assigns incoming streaming session information to a cluster or to noise. Cluster creation circuitry edits the model by creating new clusters out of information from multiple streaming sessions with similar attributes that were originally labeled as noise. By only crediting streaming session information assigned to a cluster, the disclosed system avoids crediting illogical streaming session information, such as the crediting of media to a streaming source that does not offer said media.

Abstract: Methods, apparatus, systems, and articles of manufacture to identify an episode number based on fingerprint and matched viewing information are disclosed. An example method includes processing meter data to identify a presented media based on a bumper included in a media, filtering the meter data based on the identification of the media, selecting a candidate episode, the candidate episode not associated with a known episode label, determining whether the candidate episode appears sequentially after a known episode for a threshold number of presentation locations, and labeling the candidate episode as the next sequential episode after the known episode in response to determining that the candidate episode appears sequentially after the known episode for the threshold number of presentation locations.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to optimize reference signature matching using watermark matching. An example disclosed herein includes selecting first unhashed reference signatures to evaluate for a second time segment of monitoring data based on watermark coverage of a first time segment of the monitoring data, the monitoring data obtained from a meter monitoring media presented by a media device and comparing the first unhashed reference signatures with first unhashed monitored signatures from the second time segment of the monitoring data.

Abstract: Methods, apparatus, systems and articles of manufacture to identify media sources are disclosed. Example apparatus disclosed herein include an exclusivity determiner, a unique asset identifier, and a signature matcher. The exclusivity determiner is to determine whether media is exclusive to a provider. The unique asset identifier is to associate a first signature of the media with the provider if the media is exclusive to the provider. The signature matcher is to identify the provider based on a second signature, the second signature matching the first signature, the second signature extracted from media presented at a media presentation location.

Abstract: Methods, apparatus, systems and articles of manufacture to credit unidentified media are disclosed. Disclosed example apparatus include a database updater to store a first group of signatures representative of unidentified media in a database, the first group of signatures obtained from a first media meter to monitor a first media presentation device, the first group of signatures associated with a first media exposure category based on media source information reported by the first media meter. Disclosed example apparatus also include a media comparator to compare a second group of signatures with the first group of signatures, the second group of signatures obtained from a second media meter to monitor a second media presentation device. Disclosed example apparatus further include a reporter to credit media exposure represented by the second group of signatures to the first media exposure category when the second group of signatures matches the first group of signatures.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for identification of streaming activity and source for cached media on streaming devices.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to identify candidates for media asset qualification. Example apparatus disclosed herein include a media creditor to determine whether to credit a first media asset to linear media or non-linear media, the non-linear media including subscription video on demand (SVOD). Disclosed example apparatus also include a media asset candidate controller to: classify the first media asset as a non-candidate for media asset qualification in response to the first media asset being credited to the linear media or the non-linear media. In some examples, the media asset candidate controller is to determine whether to classify the first media asset as a candidate for media asset qualification based on whether the first media asset remains uncredited by the media creditor and the first media asset overlaps a streaming period.

Abstract: Methods, apparatus, systems and articles of manufacture to perform media device asset qualification are disclosed. An example apparatus includes at least one memory, and at least one processor to execute instructions to at least identify a first set of candidate media device assets for disqualification, the candidate media device assets including A) a signature and B) a media identifier that identifies media, generate a hash table using a second set of the candidate media device assets, determine one or more counts of matches between C) a first signature and a first media identifier of a first candidate media device asset of the second set and D) respective signatures and media identifiers of multiple ones of the second set using the hash table, the multiple ones of the second set not including the first candidate media device asset, and load the first signature into a reference database as a reference signature.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed selectively generating and storing hashed reference signatures. An example method disclosed herein determining whether watermark coverage of a first media segment satisfies a dropout constraint, the first media segment corresponding to a first monitoring time interval of a media source feed and, when the watermark coverage of the first media segment does not satisfy the dropout constraint hashing first media signatures associated with the first media segment to generate corresponding first hashed signatures and generating first reference data for the first media segment, the first reference data including the first hashed signatures and the first media signatures. The example method further includes, when the watermark coverage of the first media segment satisfies the dropout constraint, generating second reference data for the first media segment, the second reference data including the first media signatures.