New pending patent applications are published by the USPTO on Thursdays. Today's Spotlight Applications concern aspects of digital watermarking and digital fingerprinting. Assigned to MorphoTrust, the first application addresses techniques for digitally watermarking digital facial portraits. Assigned to Snell Advanced Media (GB), the second application addresses techniques for managing visual content.
20190188821,"System and method for digitally watermarking digital facial portraits," assigned to MorphTrust USA, LLC.
Abstract
Some implementations may include a method for watermarking an identification document, the method including: modulating a spatial luminance pattern associated with a first digital watermark to encode a first portion of personally identifiable information; modulating a spatial chrominance distribution associated with a second digital watermark to encode a second portion of the personally identifiable information; and applying the first digital watermark and the second digital watermark to the identification document.
20190191213, "Method and apparatus of managing visual content," assigned to Snell Advanced Media Ltd (GB)
Abstract
A system and method is provided for managing visual content. In one instance, an exemplary method includes receiving a stream of video fingerprints derived in a fingerprint generator by an irreversible data reduction process, from respective temporal regions within a particular visual content stream and at a fingerprint processor that is physically separate from the fingerprint generator via a communication network. The fingerprints are processed in the fingerprint processor to generate metadata which is not directly encoded in the fingerprints. Processing of the fingerprints includes windowing the stream of fingerprints with a time window, deriving frequencies of occurrence of particular fingerprint values or ranges of fingerprint values within each time window, determining statistical moments or entropy values of said frequencies of occurrence, comparing said statistical moments or entropy values with expected values for particular types of content, and generating metadata representing the type of the visual content.
