Abstract: A perceptual model performs an analysis of a media signal, such as an image or audio signal. The model may be used in media signal processing applications such as digital watermarking and data compression to reduce perceptibility of changes made to code the signal. In one implementation, a method of reducing human perceptibility of visible artifacts attributable to embedding a digital watermark in a media signal is provided. The method determines a contrast measurement for local areas of the media signal; adjusts a contrast measurement for a local area if the contrast measurement is above a predetermined level; and embeds the digital watermark in the local areas in a manner determined at least in part by their respective contrast measurement.

Abstract: The present invention relates to linking on-line data to printed documents, such as business cards, envelopes, stickers, stationary, letterhead, résumés, etc. In one embodiment, a card-user registers with an on-line database and receives a gallery item including a steganographically-embedded unique identifier. The gallery item, such as a graphical background, text, shading, graphic, etc., is integrated and then printed with a document. The printed document can then be presented an optical-scanner, which outputs data. The output data is decoded to identify the unique identifier. The unique identifier is then used to index into the on-line database to retrieve information related to the proprietor of the document. In one embodiment, the on-line database includes features such as providing an immediate contact number, translation and/or pronunciation ability, and storage of audio/video files.

Abstract: The present invention relates to various digital watermarking methods and systems. In one embodiment, a handheld device displays a digitally watermarked ticket image at an event center. At the event center, a watermark decoder extracts the watermark to determine authorized entry. In another embodiment, a plurality of microlenses can provide a polarized luminance pattern on a display. The pattern corresponds to (or conveys) a unique device identifier. In yet another embodiment, monetary objects are watermarked with payload information to signify currency denomination. The payload information, once extracted, is used to provide feedback regarding the currency denomination. An audio signal or Braille output can be provided as feedback. In still another embodiment, a document management system is based on watermarks. Embedded watermarks are used to track document history, determine document version information, and enhance overall security.

Abstract: Stationery, or other printable media, is encoded with a digital watermark. The watermark is not conspicuous to a human observer of the media, yet conveys plural bits of auxiliary information when optically scanned and digitally processed. The watermark can be formed by ink-jet printing, or otherwise. The encoded information can be used for various purposes, including authenticating the document as an original, linking to associated on-line resources, and distinguishing seemingly-identical versions of the same document (document serialization).

Abstract: A carrier is watermarked and then an image is printed or displayed on this carrier. A watermark can then be read from the image. If the image is printed on the carrier, the watermark can be read from the printed image or from any copy of the printed image. If the watermark is displayed on the carrier, and the displayed image is then copied, the copies will bear the watermark.

Abstract: The present invention relates to steganographically hiding images and information. In a preferred embodiment, an image is hidden within a media signal. The media preferably includes a cyan (C) color plane, a magenta (M) color plane, a yellow (Y) color plane and a black (K) color plane. In an alternative embodiment, the media includes a spot color. The image is converted into a black color channel image and is then applied to the media's K channel. The black channel image is inverted and the inverted image is applied to the media's CMY (or spot) color planes. The C, M and/or Y channels can be investigated to determine whether the image's signal level should be modified. In a related embodiment, the media signal is segmented into a plurality of blocks and the detection level of a first embedded block is determined to be sufficient before the embedding continues to a second block.

Abstract: This disclosure describes methods for using embedded auxiliary signals in documents for copy detection and other applications. In on application, the auxiliary signal is formed as an array of elements selected from a set of print structures with properties that change differently in response to copy operations. These changes in properties of the print structures that carry the embedded auxiliary signal are automatically detectable. For example, the changes make the embedded auxiliary signal more or less detectable. The extent to which the auxiliary data is detected forms a detection metric used in combination with one or more other metrics to differentiate copies from originals. Examples of sets of properties of the print structures that change differently in response to copy operations include sets of colors (including different types of inks), sets of screens or dot structures that have varying dot gain, sets of structures with different aliasing effects, etc.

Abstract: Methods and systems for time-frequency domain watermarking of media signals, such as audio and video signals. An encoding method divides the media signal into segments, transforms each segment into a time-frequency representation, and computes a time-frequency domain watermark signal based on the time frequency representation. It then combines the time-frequency domain watermark signal with the media signal to produce a watermarked media signal. To embed a message using this method, one may use peak modulation, pseudorandom noise modulation, statistical feature modulation, etc. Watermarking in the time-frequency domain enables the encoder to perceptually model time and frequency attributes of the media signal simultaneously. A watermark decoder uses a calibration signal to detect the watermark signal in a potentially distorted version of the watermarked signal. The calibration signal may also be used to determine the watermark's alignment and scaling.

Abstract: The present invention relates to creating electronic versions of printed documents. A printed document will include steganographic, but machine-readable, indicia thereon. The steganographic indicia provides clues on how best to create a corresponding electronic version of the printed document.

Abstract: The present invention provides methods and systems for authenticating identification documents. We also teach an identification document including two or more digital watermarks. The watermarks correspond with each other or with indicia carried by the identification document. The correspondence can be verified to determine authenticity. We also provide digital watermark detection methods and systems to identify the different watermarks through embedded orientation components. We then focus watermark message-decoding efforts on areas identified as likely including watermark orientation components. In one implementation we provide a watermark detection trigger to identify so-called legacy documents. The trigger may indicate the presence or expected absence of a digital watermark. In other implementations we provide a versatile document authenticator to toggle between watermarking and non-watermarking authentication processes depending on a detection trigger.

Abstract: A perceptual model performs an analysis of a media signal, such as an image or audio signal. The model may be used in media signal processing applications such as digital watermarking and data compression to reduce perceptibility of changes made to code the signal. In one implementation, a method of reducing human perceptibility of visible artifacts attributable to embedding a digital watermark in a media signal is provided. The method determines a contrast measurement for local areas of the media signal; adjusts a contrast measurement for a local area if the contrast measurement is above a predetermined level; and embeds the digital watermark in the local areas in a manner determined at least in part by their respective contrast measurement.

Abstract: The disclosure describes a method of progressively decoding a digital watermark on a distributed computing platform. A client device equipped with a digital camera, such as a PDA or cell phone, captures a digital image of a watermarked object, and pre-filters the image to isolate a portion of the image data suspected of containing a digital watermark. The pre-filter de-correlates a portion of the image data suspected of containing a digital watermark from the remaining host image signal using a predictive filter. The client then quantizes the filtered data and progressively transmits the quantized data to a watermark decoder. The progressive transmitter sends image data as necessary to achieve a valid decoding operation. To reduce bandwidth requirements, the transmitter starts with the most highly quantized version of the filtered image, and sends lesser quantized versions until the watermark decoder completes a successful decoding operation.

Abstract: A media object authentication system uses layers of security features based on digital watermarks embedded in media objects. The system generates a first digital watermark with a message payload carrying data about the object, such as a hash of text data printed on the object. The first digital watermark is combined with a content signature derived from features of the media object, such as frequency domain attributes, edge attributes, or other filtered version of the media signal (e.g., image photo on a secure document) on the media object. This combination forms a new digital watermark signal that is embedded in the host media object. To verify the object, the digital watermark payload is extracted and compared with the data about the object. The combined digital watermark and content signature is also evaluated to authenticate the media signal on the media object. Biometric information may also be embedded in a machine readable code in the object or indexed via the machine readable code.

Abstract: Methods and systems for time-frequency domain watermarking of media signals, such as audio and video signals. An encoding method divides the media signal into segments, transforms each segment into a time-frequency representation, and computes a time-frequency domain watermark signal based on the time frequency representation. It then combines the time-frequency domain watermark signal with the media signal to produce a watermarked media signal. To embed a message using this method, one may use peak modulation, pseudorandom noise modulation, statistical feature modulation, etc. Watermarking in the time-frequency domain enables the encoder to perceptually model time and frequency attributes of the media signal simultaneously. A watermark decoder uses a calibration signal to detect the watermark signal in a potentially distorted version of the watermarked signal. The calibration signal may also be used to determine the watermark's alignment and scaling.

Abstract: A media object authentication system uses layers of security features based on digital watermarks embedded in media objects. The system generates a first digital watermark with a message payload carrying data about the object, such as a hash of text data printed on the object. The first digital watermark is combined with a content signature derived from features of the media object, such as frequency domain attributes, edge attributes, or other filtered version of the media signal (e.g., image photo on a secure document) on the media object. This combination forms a new digital watermark signal that is embedded in the host media object. To verify the object, the digital watermark payload is extracted and compared with the data about the object. The combined digital watermark and content signature is also evaluated to authenticate the media signal on the media object.

Abstract: A perceptual model performs an analysis of a media signal, such as an image or audio signal. The model may be used in media signal processing applications such as digital watermarking and data compression to reduce perceptibility of changes made to code the signal. For image applications, the model computes the sensitivity of an image to changes based upon local image contrast, while taking into account the sensitivity of connected directional edges. By comparing the local image strength of various directionally filtered versions of the image, the model creates a directional control vector. This control vector may be used to reduce changes to an image in text and edge regions, and thus, avoid perceptible artifacts in those regions. The model takes into account the local contrast of the image and the directional control vector to create a gain vector. Using the local contrast measurements, the model follows the eye's nonlinear response to contrast discrimination.

Abstract: A perceptual model performs an analysis of a media signal, such as an image or audio signal. The model may be used in media signal processing applications such as digital watermarking and data compression to reduce perceptibility of changes made to code the signal. For image applications, the model computes the sensitivity of an image to changes based upon local image contrast, while taking into account the sensitivity of connected directional edges. By comparing the local image strength of various directionally filtered versions of the image, the model creates a directional control vector. This control vector may be used to reduce changes to an image in text and edge regions, and thus, avoid perceptible artifacts in those regions. The model takes into account the local contrast of the image and the directional control vector to create a gain vector. Using the local contrast measurements, the model follows the eye's nonlinear response to contrast discrimination.

Abstract: The present invention provides various methods and apparatus used in connection with steganography and digital watermarking. In one implementation, a method of obtaining information from a network of computers based at least in part on the environment associated with a first computer is provided. An object is presented within the field of view of an optical sensor device. The optical device is in communication with a first computer. The object includes plural-bit data steganographically encoded in the object. The first computer communicates with at least a second computer in the network of computers. Optical data corresponding to the object is acquired, and the plural-bit digital data is decoded from the optical data. At least some of the decoded data and environmental data is submitted to the second computer, which determines which information to send to the first computer based on the environmental data. Many other embodiments are disclosed herein.

Abstract: A method for tracking media signals in multimedia content is provided by uniquely identifying the multimedia content with a digital watermark identifier. A video channel is preferably embedded with a first watermark identifier. The first identifier uniquely identifies the multimedia content or the content family. A second digital watermark is embedded in an audio channel of the multimedia content. The second digital watermark uniquely identifies a user or user device. When the multimedia content is found in an unauthorized or unexpected channel, the content can be traced back to its misappropriating source via the user identifier.

Abstract: The disclosure describes a method of progressively decoding a digital watermark on a distributed computing platform. A client device equipped with a digital camera, such as a PDA or cell phone, captures a digital image of a watermarked object, and pre-filters the image to isolate a portion of the image data suspected of containing a digital watermark. The pre-filter de-correlates a portion of the image data suspected of containing a digital watermark from the remaining host image signal using a predictive filter. The client then quantizes the filtered data and progressively transmits the quantized data to a watermark decoder. The progressive transmitter sends image data as necessary to achieve a valid decoding operation. To reduce bandwidth requirements, the transmitter starts with the most highly quantized version of the filtered image, and sends lesser quantized versions until the watermark decoder completes a successful decoding operation.