New patents are issued by the USPTO on Tuesdays. Today's Spotlight Patents concern aspects of digital watermarking and digital fingerprinting. Assigned to Nielsen, the first patent addresses techniques for optimizing reference signature matching using watermark matching. Assigned to QRS Music Technologies, the second patent addresses techniques for generating a musical fingerprint.
10,863,236, "Methods and apparatus to optimize reference signature matching using watermark matching," assigned to The Nielsen Company.
Abstract
Methods, apparatus, systems and articles of manufacture are disclosed to optimize reference signature matching using watermark matching. An example disclosed herein includes selecting first unhashed reference signatures to evaluate for a second time segment of monitoring data based on watermark coverage of a first time segment of the monitoring data, the monitoring data obtained from a meter monitoring media presented by a media device and comparing the first unhashed reference signatures with first unhashed monitored signatures from the second time segment of the monitoring data. The example further includes, when a first media event associated with the monitoring data is not identifiable based on the comparing of the first of unhashed reference signatures with the first unhashed monitored signatures hashing the first unhashed monitored signatures to form a corresponding first hashed monitored signatures and comparing the first hashed monitored signatures with a library of reference hashed signatures to determine the first media event associated with the second time segment of the monitoring data.
10,861,428, "Technologies for generating a musical fingerprint," assigned to QRS Music Technologies, Inc.
Abstract
Techniques are described herein for generating a music fingerprint representative of a performance style of an individual. One or more characteristics associated with musical data are identified. A score to associated with each of the identified one or more characteristics is determined. The music fingerprint is generated based on the determine score for each of the identified one or more characteristics.
