Abstract: A characteristic thumbprint is extracted from a data signal, the thumbprint based on statistics relating to the data signal. The data signal can be compared indirectly by matching this thumbprint against one or more reference thumbprints. The data signal may be any type of signal, including streaming digitized audio or obtained from static files. A database may contain a number of these characteristic thumbprints, and the database can be searched for a particular thumbprint.

Abstract: To restore context information about a clip that was sampled from a broadcast program, the clip is identified by matching a digital fingerprint of the clip against a database of known digital fingerprints taken from broadcast programs. If the clip can be identified, it is then associated with information about the matching broadcast program. The loss of context data about the clip obtained from a broadcast program is thus remedied, enabling media content available online to be more useable for a variety of purposes, such as media searching, automatic broadcast attribution, and targeting advertisements.

Abstract: A media identification system generates reference fingerprints for known media samples and stores the reference fingerprints in a reference database. The media identification system uses the reference fingerprints to match a fingerprint generated from an unknown media sample to identify that unknown sample. When storing new reference fingerprints in the reference database, partitions of the database are selected to balance the search loads on the database when it is used by the media identification system. For example, the selected partitions may be determined based at least in part on the access rates of the partitions by the media identification system. New reference fingerprints will tend to be placed in partitions that have relatively lower access rates that the other partitions, which will tend to balance the search loads on the partitions by the media identification system.

Abstract: To restore context information about a clip that was sampled from a broadcast program, the clip is identified by matching a digital fingerprint of the clip against a database of known digital fingerprints taken from broadcast programs. If the clip can be identified, it is then associated with information about the matching broadcast program. The loss of context data about the clip obtained from a broadcast program is thus remedied, enabling media content available online to be more useable for a variety of purposes, such as media searching, automatic broadcast attribution, and targeting advertisements.

Abstract: To restore context information about a clip that was sampled from a broadcast program, the clip is identified by matching a digital fingerprint of the clip against a database of known digital fingerprints taken from broadcast programs. If the clip can be identified, it is then associated with information about the matching broadcast program. The loss of context data about the clip obtained from a broadcast program is thus remedied, enabling media content available online to be more useable for a variety of purposes, such as media searching, automatic broadcast attribution, and targeting advertisements.

Abstract: A media identification system generates reference fingerprints for known media samples and stores the reference fingerprints in a reference database. The media identification system uses the reference fingerprints to match a fingerprint generated from an unknown media sample to identify that unknown sample. When storing new reference fingerprints in the reference database, partitions of the database are selected to balance the search loads on the database when it is used by the media identification system. For example, the selected partitions may be determined based at least in part on the access rates of the partitions by the media identification system. New reference fingerprints will tend to be placed in partitions that have relatively lower access rates that the other partitions, which will tend to balance the search loads on the partitions by the media identification system.

Abstract: A media identification system generates reference fingerprints for known media samples and stores the reference fingerprints in a reference database. The media identification system uses the reference fingerprints to match a fingerprint generated from an unknown media sample to identify that unknown sample. When storing new reference fingerprints in the reference database, partitions of the database are selected to balance the search loads on the database when it is used by the media identification system. For example, the selected partitions may be determined based at least in part on the access rates of the partitions by the media identification system. New reference fingerprints will tend to be placed in partitions that have relatively lower access rates that the other partitions, which will tend to balance the search loads on the partitions by the media identification system.

Abstract: A characteristic thumbprint is extracted from a data signal, the thumbprint based on statistics relating to the data signal. The data signal can be compared indirectly by matching this thumbprint against one or more reference thumbprints. The data signal may be any type of signal, including streaming digitized audio or obtained from static files. A database may contain a number of these characteristic thumbprints, and the database can be searched for a particular thumbprint.

Abstract: A characteristic thumbprint is extracted from a data signal, the thumbprint based on statistics relating to the data signal. The data signal can be compared indirectly by matching this thumbprint against one or more reference thumbprints. The data signal may be any type of signal, including streaming digitized audio or obtained from static files. A database may contain a number of these characteristic thumbprints, and the database can be searched for a particular thumbprint.

Abstract: A characteristic thumbprint is extracted from a data signal, the thumbprint based on statistics relating to the data signal. The data signal can be compared indirectly by matching this thumbprint against one or more reference thumbprints. The data signal may be any type of signal, including streaming digitized audio or obtained from static files. A database may contain a number of these characteristic thumbprints, and the database can be searched for a particular thumbprint.

Abstract: A characteristic thumbprint is extracted from a data signal, the thumbprint based on statistics relating to the data signal. The data signal can be compared indirectly by matching this thumbprint against one or more reference thumbprints. The data signal may be any type of signal, including streaming digitized audio or obtained from static files. A database may contain a number of these characteristic thumbprints, and the database can be searched for a particular thumbprint.

Abstract: To restore context information about a clip that was sampled from a broadcast program, the clip is identified by matching a digital fingerprint of the clip against a database of known digital fingerprints taken from broadcast programs. If the clip can be identified, it is then associated with information about the matching broadcast program. The loss of context data about the clip obtained from a broadcast program is thus remedied, enabling media content available online to be more useable for a variety of purposes, such as media searching, automatic broadcast attribution, and targeting advertisements.

Abstract: To restore context information about a clip that was sampled from a broadcast program, the clip is identified by matching a digital fingerprint of the clip against a database of known digital fingerprints taken from broadcast programs. If the clip can be identified, it is then associated with information about the matching broadcast program. The loss of context data about the clip obtained from a broadcast program is thus remedied, enabling media content available online to be more useable for a variety of purposes, such as media searching, automatic broadcast attribution, and targeting advertisements.

Abstract: A characteristic thumbprint is extracted from a data signal, the thumbprint based on statistics relating to the data signal. The data signal can be compared indirectly by matching this thumbprint against one or more reference thumbprints. The data signal may be any type of signal, including streaming digitized audio or obtained from static files. A database may contain a number of these characteristic thumbprints, and the database can be searched for a particular thumbprint.

Abstract: A characteristic thumbprint is extracted from a data signal, the thumbprint based on statistics relating to the data signal. The data signal can be compared indirectly by matching this thumbprint against one or more reference thumbprints. The data signal may be any type of signal, including streaming digitized audio or obtained from static files. A database may contain a number of these characteristic thumbprints, and the database can be searched for a particular thumbprint.

Abstract: A characteristic thumbprint is extracted from a data signal, the thumbprint based on statistics relating to the data signal. The data signal can be compared indirectly by matching this thumbprint against one or more reference thumbprints. The data signal may be any type of signal, including streaming digitized audio or obtained from static files. A database may contain a number of these characteristic thumbprints, and the database can be searched for a particular thumbprint.

Abstract: A media identification system generates reference fingerprints for known media samples and stores the reference fingerprints in a reference database. The media identification system uses the reference fingerprints to match a fingerprint generated from an unknown media sample to identify that unknown sample. When storing new reference fingerprints in the reference database, partitions of the database are selected to balance the search loads on the database when it is used by the media identification system. For example, the selected partitions may be determined based at least in part on the access rates of the partitions by the media identification system. New reference fingerprints will tend to be placed in partitions that have relatively lower access rates that the other partitions, which will tend to balance the search loads on the partitions by the media identification system.

Abstract: A characteristic thumbprint is extracted from a data signal, the thumbprint based on statistics relating to the data signal. The data signal can be compared indirectly by matching this thumbprint against one or more reference thumbprints. The data signal may be any type of signal, including streaming digitized audio or obtained from static files. A database may contain a number of these characteristic thumbprints, and the database can be searched for a particular thumbprint.

Abstract: A characteristic thumbprint is extracted from a data signal, the thumbprint based on statistics relating to the data signal. The data signal can be compared indirectly by matching this thumbprint against one or more reference thumbprints. The data signal may be any type of signal, including streaming digitized audio or obtained from static files. A database may contain a number of these characteristic thumbprints, and the database can be searched for a particular thumbprint.

Abstract: A characteristic thumbprint is extracted from a data signal, the thumbprint based on statistics relating to the data signal. The data signal can be compared indirectly by matching this thumbprint against one or more reference thumbprints. The data signal may be any type of signal, including streaming digitized audio or obtained from static files. A database for containing a number of such thumbprints and methods for searching the database are also described.