New patents are issued by the USPTO on Tuesdays. Today's Spotlight Patents concern aspects of digital fingerprinting. Assigned to Google, the first patent addresses techniques for detecting abusive stereoscopic videos by generating fingerprints for multiple portions of a video frame. Assigned to Apple, the second patent addresses techniques for recognizing sound and music signals in high noise and distortion.
10,499,097, "Methods, systems, and media for detecting abusive stereoscopic videos by generating fingerprints for multiple portions of a video frame," assigned to Google.
Methods, systems, and media for identifying content in stereoscopic videos and, more particularly, for detecting abusive stereoscopic videos by generating fingerprints for multiple portions of a video frame are provided. The method comprises: receiving, from a user device, a video content item for uploading to a content provider; selecting a frame from a plurality of frames of the video content item for generating one or more fingerprints corresponding to the video content item; generating a first fingerprint corresponding to the selected frame, a second fingerprint corresponding to a first encoded portion of the selected frame, and a third fingerprint corresponding to a second encoded portion of the selected frame; comparing each of the first fingerprint, the second fingerprint, and the third fingerprint to a plurality of reference fingerprints corresponding to reference video content items; determining whether at least one of the first fingerprint, the second fingerprint, and the third fingerprint match a reference fingerprint of the plurality of reference fingerprints; and, in response to determining that at least one of the first fingerprint, the second fingerprint, and the third fingerprint match the reference fingerprint, causing an indication of the match to be presented on the user device.
10,497,378, "Systems and methods for recognizing sound and music signals in high noise and distortion," assigned to Apple.
A method for recognizing an audio sample locates an audio file that 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.