Digimarc Corporation

Digimarc Corpororation

Ajith Mulki Kamath

Ravi K Sharma

Brett Alan Bradley

Hugh L Brunk

John F Stach

Shankar Thagadur Shivappa

Osama M Alattar

Vojtech Holub

Aparna R Gurijala

William Y Conwell

Tomas Filler

Robert G Lyons

Scott M Long

David A Cushman

Christopher A Ambiel

Geoffrey B Rhoads

Tony F Rodriguez

Yang Bai

Joel R Meyer

Annalou Vincent

Alastair M Reed

John Douglas Lord

Kurt M Eaton

Utkarsh Deshmukh

Jerry Allen McMahan, Jr

Aparna Gurijala

Maxfield T Torke

Fabrice Capiez

A sequence of images depicting an object is captured, e.g., by a camera at a point-of-sale terminal in a retail store. The object is identified, such as by a barcode or watermark that is detected from one or more of the images. Once the object's identity is known, such information is used in training a classifier (e.g., a machine learning system) to recognize the object from others of the captured images, including images that may be degraded by blur, inferior lighting, etc. In another arrangement, such degraded images are processed to identify feature points useful in fingerprint-based identification of the object. Feature points extracted from such degraded imagery aid in fingerprint-based recognition of objects under real life circumstances, as contrasted with feature points extracted from pristine imagery (e.g., digital files containing label artwork for such objects). A great variety of other features and arrangements—some involving designing classifiers so as to combat classifier copying—are also detailed.

Learning systems and methods

The present disclosure relates to signal processing such as digital watermarking and other encoded signals. One claim recites a substrate comprising a plurality of first areas and a plurality of second areas, in which each of the plurality of first areas comprises a color ink printed therein with a UV topcoat layer printed over the color ink, in which the UV topcoat layer includes a material that absorbs at or around 350 nm and emits in the visible spectrum, and in which each of the plurality of second areas comprises the color ink printed therein, and in which the plurality of first areas is arranged on the substrate in a 2-dimensional pattern that is machine-readable from image data depicting the plurality of first areas, and in which the 2-dimensional pattern represents signal elements that cover only between 1-20% of an area on the substrate, and in which contrast in the image data between the plurality of first areas and the plurality second areas comprises a contrast difference in the range 75%>contrast difference>8%. Of course, other claims and combinations are provided in the specification with reference to specific implementations and related examples.

Encoding signals with fluorescing inks

In one aspect, a 2D machine readable code is mimicked by a collection of graphic elements. This can involve choosing a location, within an input 2D code block, at which correlation between a first graphic element and the input 2D code block is maximized. An area around this location is then disqualified from further consideration. A second location is next chosen, within the input 2D code block but outside the disqualified area, at which correlation between a second graphic element and the input 2D code block is maximized. The process continues in this fashion, adding graphics and removing additional areas from consideration, until a threshold number of graphic elements has been placed. The elements are then assembled in their corresponding locations to yield a composite image block that provides features mimicking that of the input 2D code block, thereby enabling the composite image block to be decoded by a compliant code reader. A great variety of other signal rich art arrangements are also detailed.

Mimicked machine-readable codes, and methods

2D machine readable symbologies are stylized and made aesthetically-appealing, facilitating their use to convey plural-symbol data on product packaging and other articles. In some arrangements, a symbology is mimicked as a collage of excerpts from a style image (e.g., a photograph or other artwork). To human viewers, the stylized symbology resembles the style image, rather than the 2D symbology. A great variety of other features and arrangements are also detailed.

Artwork generated to convey digital messages, and methods/apparatuses for generating such artwork

A vector graphics file includes at least one artwork layer and at least one watermark layer. The watermark layer comprises a pattern of vector graphics primitives, each of which is filled with a color that is a tinted variant of the color of the location in the artwork that the primitive overlies. Such layered arrangement enables the watermark to be added or omitted, and varied in strength, payload and appearance, at will. Yet the artwork is left unchanged through such manipulations. In some embodiments the watermark conveys a multi-symbol Global Trade Item Number (GTIN), and the file is used to generate a label or packaging for a food or general merchandise retail item. A great number of other arrangements, features and advantages are also detailed.

Watermarking arrangements permitting vector graphics editing

2D machine readable symbologies are stylized and made aesthetically-appealing, facilitating their use to convey plural-symbol data within woven fabrics. Such stylized fabrics can be decoded by code readers analyzing imagery of the woven fabrics. A great variety of other features and arrangements are also detailed.

Encoding fabrics to convey digital messages

Audio signal processing enhances audio watermark embedding and detecting processes. Audio signal processes include audio classification and adapting watermark embedding and detecting based on classification. Advances in audio watermark design include adaptive watermark signal structure data protocols, perceptual models, and insertion methods. Perceptual and robustness evaluation is integrated into audio watermark embedding to optimize audio quality relative the original signal, and to optimize robustness or data capacity. These methods are applied to audio segments in audio embedder and detector configurations to support real time operation. Feature extraction and matching are also used to adapt audio watermark embedding and detecting.

Multi-mode audio recognition and auxiliary data encoding and decoding

A plastic item, such as a beverage bottle, can convey two distinct digital watermarks, encoded using two distinct signaling protocols. A first, printed label watermark conveys a retailing payload, including a Global Trade Item Number (GTIN) used by a point-of-sale scanner in a retail store to identify and price the item when presented for checkout. A second, plastic texture watermark may convey a recycling payload, including data identifying the composition of the plastic. The use of two different signaling protocols assures that a point-of-sale scanner will not spend its limited time and computational resources working to decode the recycling watermark, which may lack data needed for retail checkout. In some embodiments, a recycling apparatus makes advantageous use of both types of watermarks to identify the plastic composition of the item (e.g., relating GTIN to plastic type using an associated database), thereby increasing the fraction of items that are correctly identified for sorting and recycling. In other embodiments the plastic item (or a label thereon) bears only a single watermark. A great number of other features and arrangements are also detailed.

Methods and arrangements for sorting items, useful in recycling

Features from a style image are adapted to express a machine-readable code. For example, grains of rice depicted in a style image may be positioned to create a pattern mimicking that of a machine-readable code. The resulting output image can then be used as a graphical component in product packaging (e.g., as a background, border, or pattern fill), while also serving to convey a product identifier to a compliant reader device (e.g., a retail point-of-sale terminal). In some embodiments, a neural network is trained to apply a particular style image to machine readable codes. A great variety of other features and arrangements are also detailed.

Optical code signal components are generated and then transformed into signal bearing art that conveys machine readable data. The components of an optical code are optimized to achieve improved signal robustness, reliability, capacity and/or visual quality. An optimization program can determine spatial density, dot distance, dot size and signal component priority to optimize robustness. An optical code generator transforms tiles of an optical code or image embedded with the optical code into signal-bearing art using stipple, Voronoi, Delaunay or other graphic drawing methods so as to retain prioritized components of the optical code. The optical code is merged into a host image, such as imagery, text and graphics of a package or label, or it may be printed by itself, e.g., on an otherwise blank label or carton. A great number of other features and arrangements are also detailed.

Generating signal bearing art using Stipple, Voronoi and Delaunay methods and reading same

Artwork carrying machine readable data is generated by editing artwork according to a data signal or transforming the data signal into artwork. The machine-readable data signal is generated from a digital payload and converted into an image tile. Artwork is edited according to the image tile by moving graphic elements, adapting intersections of lines, or altering line density, among other techniques. Artwork is generated from the data signal by skeletonizing it and applying morphological operators to a skeletal representation, such as a medial axis transform. Artistic effects are introduced by filtering the data signal with directional blurring or shape filters.

Generating artistic designs encoded with robust, machine-readable data

2D machine readable symbologies are stylized and made aesthetically-appealing, facilitating their use to convey plural-symbol data on product packaging and other articles. In some arrangements, symbologies are stylized by geometric transformations (e.g., by multiple rotation and/or mirroring operations) to develop tiles having organized geometric structures. Such stylized symbologies can be decoded by existing code readers. A great variety of other features and arrangements are also detailed.

Differential modulation schemes encode a data channel within host signal or noisy environment in a manner that is robust, flexible to achieve perceptual quality constraints, and provides improved data capacity. Differential arrangements enable a decoder to suppress host signal or other background signal interference when detecting, synchronizing and extracting an encoded data channel. They also enable the incorporation of implicit or explicit synchronization components, which are either formed from the data signal or are complementary to it.

Growing community of inventors

Beaverton, OR, United States of America

Ajith Mulki Kamath