Abstract: In an example, columns in a data table may be categorized according to a data type based upon an analysis of data elements contained in each column with a grammar file. The data type of a column be may be categorized as one of a general data type and a specific data type. In addition, the grammar file may be expanded by at least one of adding a data element to the grammar file in response to a column being categorized as a specific data type and inserting a new data type to the grammar file in response to a column being categorized as a general data type.

Abstract: Measurement data relating to an image of a sample acquired by a measurement device is received (202). A problem is solved that seeks a solution for a spectrum (204) of the sample, based on a non-linear model for estimating a spectral response and on a profile of the measurement device.

Abstract: Data entries can include values for each of a number of features that each have a number of permissible or possible values. The features and the permissible values thereof are ranked based on a graph constructed from the features and the permissible values. The data entries can include textual data for free-text features that do not have permissible values or possible values, and new features created based on information extracted from the textual data, where nodes and edges are added to the graph from these new features. Graphical elements corresponding to the features and graphical representations based on frequencies of the permissible values of the features can be displayed.

Abstract: A method for detecting printing defects includes, with a physical computing system, creating a matched reference image from a digital image, colors of said matched reference image being closer matched to a scanned image of said digital image. The method further includes, with said physical computing system, determining a color difference between corresponding points on said matched reference image and said scanned image; and with said physical computing system, identifying points that have said color distance greater than a predefined threshold as potential defects.

Abstract: In an example, columns in a data table may be categorized according to a data type based upon an analysis of data elements contained in each column with a grammar file. The data type of a column be may be categorized as one of a general data type and a specific data type. In addition, the grammar file may be expanded by at least one of adding a data element to the grammar file in response to a column being categorized as a specific data type and inserting a new data type to the grammar file in response to a column being categorized as a general data type.

Abstract: Proactive management of devices provided at a site includes, responsive to an indication that a part of a device at a site needs to be replaced at a specified replacement time, determining additional parts for replacement at the specified replacement time.

Abstract: Techniques for determining classifications from content of data objects (100) are disclosed. Terms from the content of one or more data objects (100) of each of a plurality of classes (200) are used to determine a sub-topic (210) for one of the classes (200).

Abstract: Techniques for correcting the color uniformity of a laser printer of a digital press or other device are provided. A process for correcting the color uniformity of a laser printer may include scanning a test page by an inline scanner of a digital press, determining scanner signal data from the test page, determining a scanner polynomial fitted to the scanner signal data, and determining a non-uniform coverage polynomial from the scanner polynomial. Additionally, techniques for verifying the linearity of a scanner are also provided.

Abstract: A method for detecting printing defects includes, with a physical computing system, creating a matched reference image from a digital image, colors of said matched reference image being closer matched to a scanned image of said digital image. The method further includes, with said physical computing system, determining a color difference between corresponding points on said matched reference image and said scanned image; and with said physical computing system, identifying points that have said color distance greater than a predefined threshold as potential defects.

Abstract: Techniques for correcting the color uniformity of a laser printer of a digital press or other device are provided. A process for correcting the color uniformity of a laser printer may include scanning a test page by an inline scanner of a digital press, determining scanner signal data from the test page, determining a scanner polynomial fitted to the scanner signal data, and determining a non-uniform coverage polynomial from the scanner polynomial. Additionally, techniques for verifying the linearity of a scanner are also provided.

Abstract: Measurement data relating to an image of a sample acquired by a measurement device is received (202). A problem is solved that seeks a solution for a spectrum (204) of the sample, based on a non-linear model for estimating a spectral response and on a profile of the measurement device.

Abstract: An apparatus and method detect defects in a captured image of output from a printing device. The captured image is filtered using a source image for the output, wherein specific defects of interest are detected using the filtered image.

Abstract: A computer implemented method is disclosed. The method includes obtaining a first and second images for comparison, globally registering the first and second images, calculating for pairs of a first patch of the first image and second patch of the second image a similarity measure which is a product of luminance and contrast components and a normalized structure component, each component taking a value between 0 and 1 and determining similarity of the images based on the calculated similarity measure. Relating computer program product and data processing system are also disclosed.

Abstract: A method for estimating three-dimensional structure from a two-dimensional image (502) includes obtaining first and second vanishing points (120, 122); comparing image patches (202) along first and second virtual lines (204, 208) extending from the first and second vanishing points (120, 122), respectively, and through a pixel; generating values for each of the first and second virtual lines (204, 208) based on the comparison of the image patches (202); accumulating the values for each the pixel in the two-dimensional image (502); and determining a corner pixel (106) based on a highest of the accumulated values.

Abstract: A digital image is processed to provide an estimation of the position in the image plane of a vanishing point. The processing includes detecting pairs of similar image patches and identifying a concurrent set of straight virtual lines that substantially converge at a point on the image plane, each line passing through a pair of similar image patches within the image.

Abstract: An apparatus and method detect defects in a captured image of output from a printing device. The captured image is filtered using a source image for the output, wherein specific defects of interest are detected using the filtered image.

Abstract: A method for estimating three-dimensional structure from a two-dimensional image (502) includes obtaining first and second vanishing points (120, 122); comparing image patches (202) along first and second virtual lines (204, 208) extending from the first and second vanishing points (120, 122), respectively, and through a pixel; generating values for each of the first and second virtual lines (204, 208) based on the comparison of the image patches (202); accumulating the values for each the pixel in the two-dimensional image (502); and determining a corner pixel (106) based on a highest of the accumulated values.

Abstract: A computer implemented method is disclosed. The method includes obtaining a first and second images for comparison, globally registering the first and second images, calculating for pairs of a first patch of the first image and second patch of the second image a similarity measure which is a product of luminance and contrast components and a normalized structure component, each component taking a value between 0 and 1 and determining similarity of the images based on the calculated similarity measure. Relating computer program product and data processing system are also disclosed.

Abstract: A business service model includes a description of a topology of interconnections between configuration items that implement a business service. Each of the configuration items is associated with a respective vulnerability score and a respective type classification. Based on the vulnerability scores and the type classifications, the following values are determined for each of the configuration items: a respective activity level value indicating a probability of the configuration item being active in the business process, a respective vulnerability probability value indicating a probability of the configuration items being compromised and damaged in the business process, and a respective business process risk value indicating a probability of a failure of the business process resulting from damage of the configuration item. The business process is scored based on the activity level values, the vulnerability values, and the business process risk values.

Abstract: A digital image is processed to provide an estimation of the position in the image plane of a vanishing point. The processing includes detecting pairs of similar image patches and identifying a concurrent set of straight virtual lines that substantially converge at a point on the image plane, each line passing through a pair of similar image patches within the image.