New patents are issued by the USPTO on Tuesdays. Both of today's Spotlight Patents concern aspects of digital fingerprinting. Assigned to Averon, the first patent addresses techniques for verifying a user based on digital fingerprint signals derived from out-of-band data. Assigned to Nielsen, the second patent addresses techniques for flagging advertisement frames for automatic content recognition.
10,305,894, "Verifying a user based on digital fingerprint signals derived from out-of-band data," assigned to Averon US, Inc.
In general, embodiments of the present invention provide systems, methods and computer readable media for providing a user verification service based on analyzing digital fingerprint signals derived from out-of-band data (i.e., data not directly supplied by the user). In some embodiments, a digital fingerprint engine embedded in an app hosted on a client device being accessed by a user reads various device or user data and then creates a set of encoded user verification data representing out-of-band data stored locally on that device. In some embodiments, the user verification data are encoded as hashes generated by a hash function. In some embodiments, the app is configured to contact a business server via the cloud, and the set of digital fingerprints are included in an authorization request transmitted from the client device to the business server. In some embodiments, a digital fingerprint verification service verifies the set of digital fingerprints by determining whether they match any of a stored set of digital fingerprints representing a group of previously verified users.
10,306,333, "Flagging advertisement frames for automatic content recognition," assigned to The Nielsen Company.
A method for flagging advertisement frames for automatic content recognition is provided. The method includes receiving broadcast fingerprints indicative of broadcast frames of a media stream comprising a series of broadcast scenes. The method also includes receiving advertisement fingerprints indicative of ad frames of ad scenes. The method further includes determining a scene change between a first broadcast scene and a second broadcast scene. The scene change is based on a Pearson correlation coefficient between an initial broadcast fingerprint of an initial broadcast frame of the second broadcast scene and a last broadcast fingerprint of a last broadcast frame of the first broadcast scene. The method also further includes determining whether the second broadcast scene is one of the ad scenes. When the second broadcast scene is one of the ad scenes, the method associates an identification of the second broadcast scene as the one of the ad scenes.