On Thursdays the USPTO publishes new pending patent applications. Both of today's Spotlight Applications concern the use of digital fingerprinting. The first application discloses techniques for associating rights to multimedia content, no assignee given. The second application discloses techniques for recognizing sound and music signals in high noise and distortion, no assignee given.
A method and software to implement a method comprising receiving digital content such as multimedia content, and either ascertaining whether at least a part of the digital content has previously been associated with one or more matched referenced works or searching a store of fingerprint data of referenced works for a match. The searching includes determining a fingerprint of at least part of the digital content, e.g., multimedia content; and searching the store of fingerprint data of referenced works for a match. In the case that is has been ascertained that the work has previously been associated, or the searching has produced a match to one or more matched referenced works, associating association data to the one or more matched referenced works. Ownership data to the matched referenced works is included in the association such that use of the digital content can take into account such ownership rights. The associating of the association data is carried out in a secure manner.
20080208891, "System and methods for recognizing sound and music signals in high noise and distortion," no assignee given.
A method for recognizing an audio sample locates an audio file that most closely matches the audio sample from a database indexing a large set of original recordings. Each indexed audio file is represented in the database index by a set of landmark timepoints and associated fingerprints. Landmarks occur at reproducible locations within the file, while fingerprints represent features of the signal at or near the landmark timepoints. To perform recognition, landmarks and fingerprints are computed for the unknown sample and used to retrieve matching fingerprints from the database. For each file containing matching fingerprints, the landmarks are compared with landmarks of the sample at which the same fingerprints were computed. If a large number of corresponding landmarks are linearly related, i.e., if equivalent fingerprints of the sample and retrieved file have the same time evolution, then the file is identified with the sample. The method can be used for any type of sound or music, and is particularly effective for audio signals subject to linear and nonlinear distortion such as background noise, compression artifacts, or transmission dropouts. The sample can be identified in a time proportional to the logarithm of the number of entries in the database; given sufficient computational power, recognition can be performed in nearly real time as the sound is being sample