Abstract: An implementation is described herein facilitates certification of goods and/or identifications of the source of such goods. At least one implementation, described herein, embeds a watermark into a relatively small amount of data in a deterministic manner. This abstract itself is not intended to limit the scope of this patent. The scope of the present invention is pointed out in the appending claims.

Abstract: Systems and methods are described that apply a watermark to data, such as data representing an image. In one implementation, the complexity of the image is measured. A quantization step size is calculated, based in part on the measured complexity of the image. A watermark or message is embedded into the image using the quantization step sizes derived for each coefficient of interest. In a further implementation, a mark decoding system is configured to extract the embedded message from the image data.

Abstract: An implementation of a technology is described herein for deriving robust non-local characteristics and quantizing such characteristics for blind watermarking of a digital good.

Abstract: An implementation of a technology is described herein for deriving robust non-local characteristics and quantizing such characteristics for blind watermarking of a digital good.

Abstract: An implementation of a technology is described herein for deriving robust non-local characteristics and quantizing such characteristics for blind watermarking of a digital good.

Abstract: An implementation of a technology is described herein for deriving robust non-local characteristics and quantizing such characteristics for blind watermarking of a digital good.

Abstract: Methods and systems for quantization and data embedding are described. In at least some embodiments, a transform is applied on an image that is to be watermarked and statistics associated with the image are computed. The computed statistics are quantized using a symmetric lattice, and a watermark is computed using the lattice quantized statistics. The watermark is then inserted into the image.

Abstract: Described herein is a technology for facilitating watermarking of digital goods.

Abstract: Described herein is an implementation that produces a new representation of a digital good (such as an image) in a new defined representation domain. In particular, the representations in this new domain are based upon matrix invariances. In some implementations, the matrix invariances may, for example, heavily use singular value decomposition (SVD).

Abstract: An implementation of a technology is described herein for deriving robust non-local characteristics and quantizing such characteristics for blind watermarking of a digital good. This technology finds the proper balance between minimizing the probability of false alarms (i.e., detecting a non-existent watermark) and the probability of misses (i.e., failing to detect an existing watermark). The technology, described herein, performs quantization index modulation (QIM) based upon non-local characteristics of the digital good. Non-local characteristics may include statistics (e.g., averages, median) of a group of individual parts (e.g., pixels) of a digital good. This abstract itself is not intended to limit the scope of this patent. The scope of the present invention is pointed out in the appending claims.

Abstract: Exemplary methods for estimating an orientation angle and a translation values for scanned images are disclosed. The methods described herein may be embodied as logic instructions on a computer-readable medium. In one exemplary implementation meaningful image information is removed from a scanned image, resulting in a transformed image that comprises alternating, parallel lines disposed at an orientation angle relative to an orthogonal axis. The orientation angle may be determined using geometric techniques or statistical correlation techniques, and statistical correlation techniques may be implemented to determine translation values.

Abstract: An implementation of a technology is described herein for deriving robust non-local characteristics and quantizing such characteristics for blind watermarking of a digital good.

Abstract: An implementation of a technology is described herein for deriving robust non-local characteristics and quantizing such characteristics for blind watermarking of a digital good.

Abstract: An implementation of a technology is described herein for deriving robust non-local characteristics and quantizing such characteristics for blind watermarking of a digital good.

Abstract: Exemplary methods for performing a statistical analysis of scanned images are disclosed. The methods described herein may be embodied as logic instructions on a computer-readable medium. In one exemplary implementation a correlation value is determined between a scanned image included in a digital file and an original digital image, and a signal is generated indicating whether the correlation value exceeds a threshold.

Abstract: An implementation of a technology is described herein for deriving robust non-local characteristics and quantizing such characteristics for blind watermarking of a digital good. This technology finds the proper balance between minimizing the probability of false alarms (i.e., detecting a non-existent watermark) and the probability of misses (i.e., failing to detect an existing watermark). The technology, described herein, performs quantization index modulation (QIM) based upon non-local characteristics of the digital good. Non-local characteristics may include statistics (e.g., averages, median) of a group of individual parts (e.g., pixels) of a digital good. This abstract itself is not intended to limit the scope of this patent. The scope of the present invention is pointed out in the appending claims.

Abstract: Systems, methods, and data structures permit data to be protected with complex keys and allow users to access the protected data using only a simple user id and password.

Abstract: An implementation of a technology is described herein for the protection of rights in the content of a video sequence.

Abstract: An implementation of a technology is described herein for recognizing the content of digital signals. The technology determines one or more hash values for the original content of a digital signal. In one implementation described herein, content recognition facilitates identification of the original audio content and other audio content that is substantially perceptually same to the original content. In another implementation described herein, audio content recognition facilitates semantic categorization of such original content so that it may be grouped with other audio works in the same semantic category. This abstract itself is not intended to limit the scope of this patent. The scope of the present invention is pointed out in the appending claims.

Abstract: An implementation of a technology is described herein for deriving robust non-local characteristics and quantizing such characteristics for blind watermarking of a digital good.