Abstract: Surrogate heuristic identification is described, including a memory configured to store data associated with content, and a processor configured to select a portion of the content and the portion is standardized, to identify a characteristic associated with the portion, to use the characteristic to generate a data representation, the data representation being used to provide heuristic data, and to process the heuristic data to generate a fingerprint configured to compare against one or more stored fingerprints.

Abstract: Surrogate heuristic identification is described, including selecting a portion of video content, wherein the portion is standardized, identifying a characteristic associated with the video content, using the characteristic to generate a data representation, the data representation being used to provide heuristic data, and processing the heuristic data to generate a fingerprint configured to compare against one or more stored fingerprints associated with other video content.

Abstract: Methods, apparati, and products are provided, including running a hashing algorithm against a portion of a file to generate a hash value, determining whether the hash value is substantially similar to a stored hash value associated with another portion of another file, the portion and the another portion being standardized, and identifying a location of the another file if the hash value is substantially similar to the stored hash value associated with the another portion of the another file.

Abstract: Surrogate hashing is described, including running a hashing algorithm against a portion of a file to generate a hash value, determining whether the hash value is substantially similar to a stored hash value associated with another portion of another file, the portion and the another portion being standardized, wherein at least one of the portion and the another portion is an extremely small dataset, and identifying a location of the another file if the hash value is substantially similar to the stored hash value associated with the another portion of the another file.

Abstract: Surrogate hashing is described, including a memory configured to store data a hash value and data associated with a portion of a file, and a processor configured to run a hashing algorithm against a portion of a file to generate a hash value, to determine whether the hash value is substantially similar to a stored hash value associated with another portion of another file, the portion and the another portion being standardized, wherein at least one of the portion and the another portion is an extremely small dataset, and to identify a location of the another file if the hash value is substantially similar to the stored hash value associated with the another portion of the another file.

Abstract: Surrogate hashing is described, including a repository configured to store a standardized address and data associated with the standardized address, and a processor configured to parse an address associated with a host to generate a standardized address in a format used to compare the standardized address to one or more addresses stored in a collection, to determine if the standardized address is listed in the collection, and to process the standardized address.

Abstract: Surrogate heuristic identification is described, including a memory configured to store audio data associated with audio content, and a processor configured to select a portion of audio content, and the portion is standardized, to identify a characteristic associated with the portion, to use the characteristic to generate a data representation, the data representation being used to provide heuristic data associated with the audio content, and to process the heuristic data to generate a fingerprint associated with the audio content, and the fingerprint is configured to compare to one or more stored fingerprints to detect substantially similar audio content.

Abstract: Surrogate hashing is described, including running a first hashing algorithm against a first portion of a first file to generate a first hash value, and running a second hashing algorithm against the first portion of the first file to generate a second hash value, determining whether the first hash value and the second hash value are substantially similar to one or more stored hash values associated with a second portion of a second file, wherein the second portion is identified by one or more attributes that are substantially similar to one or more corresponding attributes associated with the first portion, and identifying a location of the second file if the first hash value and the second hash value are substantially similar to the one or more stored hash values associated with the second portion of the second file.