US20080270801A1 - Watermarking a Media Signal by Adjusting Frequency Domain Values and Adapting to the Media Signal - Google Patents
Watermarking a Media Signal by Adjusting Frequency Domain Values and Adapting to the Media Signal Download PDFInfo
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- US20080270801A1 US20080270801A1 US12/050,820 US5082008A US2008270801A1 US 20080270801 A1 US20080270801 A1 US 20080270801A1 US 5082008 A US5082008 A US 5082008A US 2008270801 A1 US2008270801 A1 US 2008270801A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/0021—Image watermarking
- G06T1/0085—Time domain based watermarking, e.g. watermarks spread over several images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/0021—Image watermarking
- G06T1/0028—Adaptive watermarking, e.g. Human Visual System [HVS]-based watermarking
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/0021—Image watermarking
- G06T1/0042—Fragile watermarking, e.g. so as to detect tampering
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/0021—Image watermarking
- G06T1/005—Robust watermarking, e.g. average attack or collusion attack resistant
- G06T1/0071—Robust watermarking, e.g. average attack or collusion attack resistant using multiple or alternating watermarks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/40—Network security protocols
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/32—Circuits or arrangements for control or supervision between transmitter and receiver or between image input and image output device, e.g. between a still-image camera and its memory or between a still-image camera and a printer device
- H04N1/32101—Display, printing, storage or transmission of additional information, e.g. ID code, date and time or title
- H04N1/32144—Display, printing, storage or transmission of additional information, e.g. ID code, date and time or title embedded in the image data, i.e. enclosed or integrated in the image, e.g. watermark, super-imposed logo or stamp
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/32—Circuits or arrangements for control or supervision between transmitter and receiver or between image input and image output device, e.g. between a still-image camera and its memory or between a still-image camera and a printer device
- H04N1/32101—Display, printing, storage or transmission of additional information, e.g. ID code, date and time or title
- H04N1/32144—Display, printing, storage or transmission of additional information, e.g. ID code, date and time or title embedded in the image data, i.e. enclosed or integrated in the image, e.g. watermark, super-imposed logo or stamp
- H04N1/32149—Methods relating to embedding, encoding, decoding, detection or retrieval operations
- H04N1/32154—Transform domain methods
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/32—Circuits or arrangements for control or supervision between transmitter and receiver or between image input and image output device, e.g. between a still-image camera and its memory or between a still-image camera and a printer device
- H04N1/32101—Display, printing, storage or transmission of additional information, e.g. ID code, date and time or title
- H04N1/32144—Display, printing, storage or transmission of additional information, e.g. ID code, date and time or title embedded in the image data, i.e. enclosed or integrated in the image, e.g. watermark, super-imposed logo or stamp
- H04N1/32149—Methods relating to embedding, encoding, decoding, detection or retrieval operations
- H04N1/32154—Transform domain methods
- H04N1/3216—Transform domain methods using Fourier transforms
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/004—Diagnosis, testing or measuring for television systems or their details for digital television systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/4425—Monitoring of client processing errors or hardware failure
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/83—Generation or processing of protective or descriptive data associated with content; Content structuring
- H04N21/835—Generation of protective data, e.g. certificates
- H04N21/8358—Generation of protective data, e.g. certificates involving watermark
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2201/00—General purpose image data processing
- G06T2201/005—Image watermarking
- G06T2201/0052—Embedding of the watermark in the frequency domain
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/30—Definitions, standards or architectural aspects of layered protocol stacks
- H04L69/32—Architecture of open systems interconnection [OSI] 7-layer type protocol stacks, e.g. the interfaces between the data link level and the physical level
- H04L69/322—Intralayer communication protocols among peer entities or protocol data unit [PDU] definitions
- H04L69/329—Intralayer communication protocols among peer entities or protocol data unit [PDU] definitions in the application layer [OSI layer 7]
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- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Multimedia (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Computer Security & Cryptography (AREA)
- Databases & Information Systems (AREA)
- Mathematical Physics (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Editing Of Facsimile Originals (AREA)
- Image Processing (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
- Compression Or Coding Systems Of Tv Signals (AREA)
Abstract
Description
- This patent application is a continuation of U.S. patent application Ser. No. 09/731,456, filed Dec. 6, 2000 (Now U.S. Pat. No. 7,346,776), which claims the benefit of U.S. Provisional Application 60/232,163 filed Sep. 11, 2000. These applications and patents are hereby incorporated by reference.
- The invention relates to steganography, data hiding, and watermarking of media signals, such as images and audio signals.
- Digital watermarking is a process for modifying physical or electronic media to embed a machine-readable code into the media. The media may be modified such that the embedded code is imperceptible or nearly imperceptible to the user, yet may be detected through an automated detection process. Most commonly, digital watermarking is applied to media signals such as images, audio signals, and video signals. However, it may also be applied to other types of media objects, including documents (e.g., through line, word or character shifting), software, multi-dimensional graphics models, and surface textures of objects.
- Digital watermarking systems typically have two primary components: an encoder that embeds the watermark in a host media signal, and a decoder that detects and reads the embedded watermark from a signal suspected of containing a watermark (a suspect signal). The encoder embeds a watermark by altering the host media signal. The reading component analyzes a suspect signal to detect whether a watermark is present. In applications where the watermark encodes information, the reader extracts this information from the detected watermark.
- Several particular watermarking techniques have been developed. The reader is presumed to be familiar with the literature in this field. Particular techniques for embedding and detecting imperceptible watermarks in media signals are detailed in the assignee's U.S. Pat. Nos. 5,862,260 and 6,614,914, which are hereby incorporated by reference. Examples of other watermarking techniques are described in U.S. Pat. No. 7,197,156, which is hereby incorporated by reference. Additional features of watermarks relating to authentication of media signals and fragile watermarks are described in U.S. patent applications 60/198,138, and 60/232,163, and U.S. Pat. Nos. 6,574,350 and 6,636,615, which is hereby incorporated by reference.
- One aspect of the invention is a method of imperceptibly embedding a code signal in a media signal. This forms a code signal comprising a plurality of frequency components. The method embeds the code signal into the media signal by adjusting the frequency component relative to a neighboring component. The method changes selection of the plurality of frequency components corresponding to the codes signal for different instances of embedding the code signal in the media signal.
- The code signal may be used to encode a combination of fixed and variable message information in audio and image signals, including video. In one application, the attributes of the code signal are measured to determine broadcast signal quality. In another, the code signal robustly carries auxiliary information in distribution channels where distortion is common, such as compression, broadcast distortion, packet loss, digital to analog conversion, and ambient air transmission.
- Further features will become apparent with reference to the following detailed description and accompanying drawings. The following description details a method for detecting whether an image has been scanned, printed or photocopied after being processed by the method. It also describes alternative implementations and applications.
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FIG. 1 is a flow diagram illustrating a process of embedding an authentication watermark in a media signal. -
FIG. 2 is a flow diagram illustrating a process of detecting the authentication watermark from a potentially corrupted version of the watermarked signal. -
FIG. 1 is a flow diagram illustrating a process of embedding a watermark in an input media signal (100), and in particular, in an image. The embedder begins by dividing a grayscale image into N×N blocks of samples at a specified resolution (102), where N is a pre-defined integer. For each block, the embedder computes a frequency transform of the image samples in that block (104), namely, a fast Fourier transform. From the mid-frequency and mid-high frequency coefficients, the embedder selects M Fourier transform coefficients (106), where M is a pre-defined integer. The coefficient locations are fixed by a pre-defined pattern. For example, the locations are scattered among roughly 25 to 100 coefficient locations in the mid to mid-high frequency range of a Fourier transform domain of a block of image samples where N ranges from 64 to 512 at spatial resolutions ranging from 75 to 600 dots per inch (DPI). The locations are symmetric about vertical and horizontal axes (and potentially diagonal axes) to facilitate detection as explained further below. - For each of the M selected coefficients, x, the embedder computes a ratio of the magnitude of a selected coefficient relative to the magnitude of its neighbors (108). In particular, it is a ratio of the magnitude of the selected coefficient to the average magnitude of the surrounding neighbors:
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r(x)=Magnitude_of— x/Average_of_Magnitude_of_Eight_Neighbors_of— x - If r(x)<r, where r is a pre-defined reference value, the embedder increases the magnitude of x such that:
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r(x)=r. - In this implementation, the value of r is a pre-defined constant. The reference may be derived dynamically from the input media signal. Also, the reference may be selected from a table of values so as to select the value of r in the table at the minimum distance from r(x). The adjustment to the host image is selected so as to be imperceptible or substantially imperceptible to a user in an output form of the watermarked signal.
- Next, the embedder computes the inverse fast Fourier transform on each block to obtain the watermarked grayscale image (112). The watermarked image (114) may then undergo one or more transformations, such as digital to analog conversion, printing, scanning, analog to digital conversion, photocopying, etc. These transformations tend to corrupt the watermarked image in a predictable way.
- The watermarking process of
FIG. 1 may be combined with another watermarking process to embed other watermarks, either robust or fragile to transformations such as sampling distortions, geometric distortions, scaling, rotation, cropping, etc. In particular, the process may be combined with an embedding process described in U.S. Pat. Nos. 5,862,260 and 6,614,914 to encode a calibration signal that enables a detector to compensate for distortions such as scaling, rotation, translation, differential scale, shear, etc. In one implementation, for example, the calibration signal comprises an array of impulse or delta functions scattered in a pattern in the Fourier domain of each block of image samples. To embed the pattern, the embedder perceptually adapts the calibration signal to the host image block and adds it to that block. The impulse functions of the calibration signal have a pre-defined magnitude and pseudo-random phase. To make the calibration signal less perceptible yet detectable, the embedder modulates the energy of the calibration signal according to the data hiding attributes (e.g., local contrast) of the image samples to which it is added. Preferably, the locations of the impulse functions are scattered across a range of frequencies to make them robust to transformations like spatial scaling, rotation, scanning, printing, and lossy compression. Further, they are preferably arranged to be symmetric about vertical and horizontal axes in the Fourier domain to facilitate detection after flipping or rotating the watermarked image. - The frequency coefficient locations selected for the method illustrated in
FIG. 1 may be mutually exclusive or overlap the coefficient locations of the calibration signal. The calibration signal preferably has impulse functions at lower frequencies to survive compression, scanning, printing, etc. while the pattern of coefficients employed inFIG. 1 includes coefficients at locations that are likely to be impacted by alterations to be detected, such as printing, scanning and photocopying. In the case where they overlap, the modification of the coefficients according toFIG. 1 is implemented so as not to interfere with the calibrations signal. In particular, the embedder adjusts the selected coefficients as shown inFIG. 1 after the impulse functions of the calibration signal have been introduced, or the embedder calculates the watermarked signal taking into account the changes of the coefficient values due to the calibration signal and the process ofFIG. 1 . - Another approach is to adjust the selected frequency coefficients in the method of
FIG. 1 so that those coefficients act as both a calibration signal and an authentication signal. The locations of the coefficients for the method ofFIG. 1 and the delta functions of the calibration signal are the same. The embedder increases the magnitudes of selected mid to mid-high frequency coefficients relative to their neighbors to achieve the desired relationship with neighboring coefficients for authentication purposes. Since this modulation includes the addition of a delta function to the selected coefficients, it also inherently embeds a calibration signal comprised of delta functions at the selected locations. To compensate for rotation and scale, the detector performs a Fourier Mellin transform of the suspect signal and the calibration signal into a log-polar space and then correlates the two signals. The location of the correlation peak in log polar space provides the spatial scale and rotation parameters. These parameters may then be used to compensate for rotation and scale changes before performing additional watermark decoding operations, such as the authentication operations ofFIG. 2 . - To compute translation, the delta functions added to the selected coefficients may be given a known pseudorandom phase. In this case, the detector correlates the phase information of the calibration signal with the suspect signal after compensating for rotation and scale. The location of the correlation peak gives the translation offset in the horizontal and vertical directions.
- In addition to being integrated with other watermark signal components, the process of
FIG. 1 may be combined with a robust watermark embedding process to carry a multi-bit message payload carrying metadata or a link to metadata stored in an external database. Example implementations for embedding this type of robust watermark are described in U.S. Pat. Nos. 5,862,260 and 6,614,914. -
FIG. 2 is a flow diagram illustrating a process of detecting the authentication watermark from a potentially corrupted version of the watermarked media signal (120) from the process ofFIG. 1 . The first four steps (122) are the same as shown in the embedder. For each block, the detector computes the average of r(x), where x is over all M selected coefficients (124), -
R=Average_of— r(x) - The detector computes the average of R over all blocks (126),
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AR=Average_of_R - To detect whether the watermarked signal has undergone alterations, the detector compares the average of R with a pre-defined threshold (128). If AR>=T, where T is a pre-defined threshold, then the detector classifies it as original. If AR<T, then the detector classifies it as a copy. Depending on the application, the detector may indicate the result (130) to a user through some user interface (e.g., visual display, audio output such as text to speech synthesis, etc.). The detector may also indicate the result (130) to another software process or device to take further action, such as communicating the event to a another device or database for logging, recording tracer data about the user or device in which the alteration is detected, linking the detecting device to a network resource such as a web site at a specified URL that informs the user about usage rules, licensing opportunities, etc.
- To make the process robust to geometric distortion, the detector includes a pre-processing phase in which it correlates a calibration signal with the potentially corrupted watermarked signal as described in U.S. Pat. Nos. 5,862,260 and 6,614,914. Using a Fourier Mellin transform, the detector maps both the calibration signal and the received signal into a log polar coordinate space and correlates the signals (e.g., using generalized matched filters) to calculate estimates of rotation and scale. After compensating for rotation and scale, the detector uses the phase information of the calibration signal to compute translation, e.g., the origin or reference point for each block. Further correlation operations may be used to compute differential scale (e.g., the change in scale in the horizontal and vertical directions after watermarking). After compensating for geometric distortion, the detector executes the process of
FIG. 2 to detect alteration in the selected frequency coefficients modified according to the method shown inFIG. 1 . - While the invention is illustrated with respect to a specific implementation, it may be implemented in a variety of alternative ways. For example, the above example specifically refers to a grayscale image. This example may be adapted to other types of images including video and still imagery, color and monochrome images, etc. For color images, the embedding and detecting operations may be performed on two or more color channels, including luminance, chrominance or some other color channels. The embedding and detecting operations may be applied to frequency coefficients of alternative frequency transforms, such as DCT and wavelet, to name a few.
- The embedding process shown in
FIG. 1 may be performed on a portion of the host signal to create a watermark signal that is combined with the host signal. For example, in one possible implementation, the embedder pre-filters the host signal to yield a high pass filtered signal including content at the mid and high frequency ranges impacted by the watermark. The embedder makes the modification to this filtered signal, and then combines the resulting modified signal with the original signal. - The embedding and detecting processes may also be integrated into compression and decompression operations. For example, the frequency domain transform may be executed as part of a compression process, such as JPEG, JPEG 2000 or MPEG, where blocks of the signal are transformed into a frequency domain. Once converted to the frequency domain, frequency coefficients may be adjusted as described above.
- The embedding and detecting operations apply to other media types, including audio media signals. In addition, the frequency domain coefficients may be selected and adjusted to reference values to detect other types of signal alteration, such as lossy compression, digital to analog and analog to digital conversion, downsampling and upsampling, etc.
- A related watermarking approach is to use an array of Fourier magnitude impulse functions with random phase (a calibration signal, also referred to as a watermark synchronization or orientation signal) for semi-fragile, and copy and copy-attack resistant watermarks. Semi-fragile refers to a watermark that degrades in response to some types of degradation of the watermarked signal but not others. In particular for document authentication applications using such a watermark, the watermark decoder can determine if the watermark has been scanned and printed or battered by normal usage, potentially while being read with a web camera. The copy-attack relates to the assertion that one can use noise-reduction, i.e. Wiener filters, to lift a watermark and, then using threshold and masking techniques, one can re-embed it in a new image. Interestingly, these concepts are related because they both include an additional scanning and printing cycle, assuming the copy attack works on printed, not only digital, content. This type of semi-fragile watermark can be used to determine if a watermarked document has been copied, possibly using a high quality copier and low quality reader, and as such, can stop copying and can be used to measure quality of service.
- One approach to implementing a semi-fragile watermark is to embed extra signal peaks in the Fourier magnitude domain that are of varying intensity, and have the watermark decoder determine if the watermark has been scanned and printed by the relative power of the extra and original calibration signal peaks. The extra peaks refer to a set of peaks used to implement the semifragile watermark. The original calibration signal peaks refer to the ones already included in the watermark to determine its orientation in a geometrically distorted version of the watermarked signal. For an example of such a calibration signal, see U.S. Pat. Nos. 5,862,260 and 6,614,914, which are incorporated by reference. Some peaks are referred to as “extra” because they are included in addition to other peaks that form the original set of peaks in a calibration signal.
- One advantage of including the semi-fragile watermark in the calibration signal is that the robust part of the watermark, which includes the desired detailed information such as a unique ID, is the multi-bit message, whereas the fragile part, which is only used to determine copying, is a few bit message. The fragile watermark can be considered as a single bit (copied or not) but actually allows more information by being frequency specific, as described below. Interestingly and potentially advantageously, the semi-fragile watermark is separate but inherently related to the robust watermark—thus they cannot be separated for successful copy attacks.
- Specifically, the extra calibration signal peaks should be located at frequencies that best discriminates between the printing and scanning process, normal scuffing and a web camera reader. These locations can be determined by analyzing the frequency response of printing, scanning, scuffing and web cameras for frequency differences.
- For example, a printing-scanning process may represent high-frequencies better than a camera, but not low frequencies. In addition, scuffing may show low-and-high frequency losses. Thus, the reader will be able to determine if the watermark has been copied, involving an additional scanning-printing process, by the relative intensities of the extra and original calibration signal peaks at low and high frequencies. In this example, high-and-low frequency loss is acceptable, whereas only low frequency loss represents a copied watermark.
- In addition, the extra calibration signal peaks could also be dependent upon the content of the host signal, thus providing additional defense against the copy attack. For example, the host image samples could be broken in 16 equal sub-blocks, and the location of the extra peaks depends upon the average intensity of each quadrant to the total average intensity. Or, if only a section of the image is visible to the reader, each 32 by 32 sample block could be used in the above calculation instead of the complete image. Any “hash” of the host image that survives a web camera reader (referred to as a perceptual hash) could be used. To this end, if the watermark is moved to another picture, after it is read, it is less likely that the extra calibration signal peak locations are correct, not to mention that the less intense calibration signal points have been removed by the additional scanning-printing process.
- Alternatively, in regards to the copy attack, the content dependent information could be used to slightly move the location of a few original calibration signal peaks, as opposed to adding extra calibration signal peaks. This means that the image content is implicitly in the calibration signal's jitter, and the copy attack is less likely to succeed unless the read and embedded images have the same perceptual hash. On the one hand, this approach may reduce robustness of the robust message to scaling, rotation and translation. On the other hand, no extra bits containing the output of the perceptual hash need to be embedded in the robust message.
- Having described and illustrated the principles of the technology with reference to specific implementations, it will be recognized that the technology can be implemented in many other, different, forms. To provide a comprehensive disclosure without unduly lengthening the specification, applicants incorporate by reference the patents and patent applications referenced above.
- The methods, processes, and systems described above may be implemented in hardware, software or a combination of hardware and software. For example, the embedding processes may be implemented in a programmable computer or a special purpose digital circuit. Similarly, detecting processes may be implemented in software, firmware, hardware, or combinations of software, firmware and hardware. The methods and processes described above may be implemented in programs executed from a system's memory (a computer readable medium, such as an electronic, optical or magnetic storage device).
- The particular combinations of elements and features in the above-detailed embodiments are exemplary only; the interchanging and substitution of these teachings with other teachings in this and the incorporated-by-reference patents/applications are also contemplated.
Claims (8)
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US12/050,820 US20080270801A1 (en) | 2000-09-11 | 2008-03-18 | Watermarking a Media Signal by Adjusting Frequency Domain Values and Adapting to the Media Signal |
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US23216300P | 2000-09-11 | 2000-09-11 | |
US09/731,456 US7346776B2 (en) | 2000-09-11 | 2000-12-06 | Authenticating media signals by adjusting frequency characteristics to reference values |
US12/050,820 US20080270801A1 (en) | 2000-09-11 | 2008-03-18 | Watermarking a Media Signal by Adjusting Frequency Domain Values and Adapting to the Media Signal |
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US09/951,142 Expired - Lifetime US6961444B2 (en) | 2000-09-11 | 2001-09-10 | Time and object based masking for video watermarking |
US11/265,766 Expired - Lifetime US7197164B2 (en) | 2000-09-11 | 2005-11-01 | Time-varying video watermark |
US12/050,820 Abandoned US20080270801A1 (en) | 2000-09-11 | 2008-03-18 | Watermarking a Media Signal by Adjusting Frequency Domain Values and Adapting to the Media Signal |
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US09/951,142 Expired - Lifetime US6961444B2 (en) | 2000-09-11 | 2001-09-10 | Time and object based masking for video watermarking |
US11/265,766 Expired - Lifetime US7197164B2 (en) | 2000-09-11 | 2005-11-01 | Time-varying video watermark |
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Cited By (21)
Publication number | Priority date | Publication date | Assignee | Title |
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US20070177759A1 (en) * | 2006-01-31 | 2007-08-02 | Xerox Corporation | System and method to automatically establish preferred area for image-wise watermark |
US20080181449A1 (en) * | 2000-09-14 | 2008-07-31 | Hannigan Brett T | Watermarking Employing the Time-Frequency Domain |
US7756290B2 (en) | 2000-01-13 | 2010-07-13 | Digimarc Corporation | Detecting embedded signals in media content using coincidence metrics |
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AU2001292659A1 (en) | 2002-03-26 |
US7197164B2 (en) | 2007-03-27 |
US20020031240A1 (en) | 2002-03-14 |
WO2002023905A1 (en) | 2002-03-21 |
US20060120559A1 (en) | 2006-06-08 |
US20020076083A1 (en) | 2002-06-20 |
US7346776B2 (en) | 2008-03-18 |
US6961444B2 (en) | 2005-11-01 |
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