Abstract: A method for detection of visual separators in web pages using code analysis includes receiving a web page and its associated web code by a web page analysis device and analyzing the web code to detect visual separators in the web page. A web page analysis device for visual separator detection in web pages is also provided.

Abstract: Semantically ranking content in a website (110) with a computerized ranking device (105) includes: parsing content from the website (110) into multiple autonomous content blocks (415-1 to 415-17) with the computerized ranking device (105) and assigning an importance ranking with said computerized ranking device (105) to each of the content blocks (415-1 to 415-17) based on a degree to which a substance of the content block (415-1 to 415-17) is relevant to one of a plurality of predefined categories.

Abstract: Disclosed herein are a system and a method that use a background model to determine and to segment target content from an image and replace them with different content to provide a composite image. The background model can be generated based on image data representing images of a predetermined area that does not include traversing content. The background model is compared to image data representing a set of captured images of the predetermined area. Based on the comparison, portions of an image that differs from the background model are determined as the traversing content. A target content model is used to determine the target content in the traversing content. The target content determined in the images is replaced with different content to provide a composite image.

Abstract: Disclosed is a computer-implemented method of determining smarty between first and second elements of an electronic document. The method uses a computer to calculate a plurality of measures of similarity between the first and second elements in at least two representations of the electronic document. A computer program product and system implementing this method are also disclosed.

Abstract: Embodiments of the present invention employ robust filtering at each of a number of scales, or resolutions, within a signal, such as a still image or video sequence. In certain embodiments of the present invention, robust filtering comprises or includes a non-linear neighborhood operation at each scale in order to produce both a denoised, sharpened and contrast-enhanced signal and a correction signal at each scale. Correction signals and sharpened and contrast-enhanced signals are combined to produce a denoised, sharpened and contrast-enhanced output signal. Scale-appropriate enhancements at each scale or resolution, including denoising, sharpening and contrast enhancement, ameliorate artifacts introduced by re-enhancement, at a second scale or resolution, features previously enhanced at another scale or resolution and inhibit over enhancement.

Abstract: A head image from a source image based on a model of the source image as a mixture of at least two image layers. One or more of the image layers are components of a foreground corresponding to the source head image and one or more other ones of the image layers are components of a background corresponding to parts of the source image outside the source head image. The source head image is color-adjusted based on skin regions of a target head image in a target image. The color-adjusted source head image is geometrically transformed to conform to the target head image in pose and size. A composite image is generated. In this process, the geometrically transformed and color-adjusted source head image is composited into a version of the target image at a location corresponding to the target head image.

Abstract: A system and method for an adaptive threshold Web Page segmenting is disclosed. In one embodiment, a method performed by a physical computing system having one or more processors for segmenting a Web page including a plurality of nodes includes parsing content in the Web page into the plurality of nodes using the physical computing system, obtaining feature values between each pair of nodes using the physical computing system, estimating an adaptive threshold value using the obtained feature values using the physical computing system, and segmenting the Web page by comparing the feature values associated with each pair of nodes with the estimated adaptive threshold value.

Abstract: Examples disclosed herein are example systems and methods to provide a particular type of uniform resource locator. In one example, a processor identifies webpage source code associated with a list of text associated with the type of uniform resource locator. The processor may identify a uniform resource locator within the identified webpage source code and provide the uniform resource locator.

Abstract: A request for print content is received at a network server system. The request includes variable user input. Webpage content is obtained based at least in part on the variable user input. A subset of the webpage content is identified as print content. A print-ready layout of the print content is formed and the print content in the print-ready layout is provided, via network connection, to a client in response to the request.

Abstract: A set of local noise variation values characterizing local noise levels in the input image is calculated. Local contrast enhancement is performed on image forming element values derived from the input image to produce a contrast enhanced image. Values of local noise amplification caused by the local contrast enhancement are ascertained. Noise in the contrast enhanced image is reduced based on the set of local noise variation values and the local noise amplification values.

Abstract: In accordance with a method of filtering an image of image forming elements, a respective weighted average value is determined for each of selected ones of the image forming elements. The respective weighted average value is composed of equally weighted contributions of values that are associated with neighboring ones of the image forming elements in a neighborhood of the selected image forming element and are within a threshold photometric distance of the selected image forming element. The respective weighted average value is free of contributions from any of the image forming elements outside the neighborhood and is free of contributions from any of the image forming elements beyond the threshold photometric distance of the selected image forming element. An output image is produced from the determined weighted average values.

Abstract: A local image patch identified in an image is divided into respective sub-patches of respective image forming elements. For each of the respective image forming elements in the local image patch, a respective ordinal rank of the image forming element is determined, and respective contributions of the image forming element to a particular one of the respective sub-patches containing the image forming element and to one or more other ones of the respective sub-patches neighboring the particular sub-patch are ascertained. Each ordinal rank corresponds to a respective dimension of an ordinal rank feature space. For each of the respective sub-patches of the local image patch, a respective histogram of ascertained contributions of the image forming elements in the ordinal rank feature space is built. A respective feature vector representing the local image patch is generated from the respective histograms built for the sub-patches of the local image.

Abstract: A system and a method for near-duplicate image detection performed by a physical computing system includes applying a feature determining function to a number of images, a feature being defined by a geometric shape, comparing characteristics of said geometric shapes defining said features from at least two of said number of images, and characterizing said at least two of said number of images as a near-duplicate match if a predetermined percentage of said features of said at least two images match.

Abstract: A pattern includes a spatial configuration of color codes. Each color code is a unique configuration of colors selected from a number of basis colors. The color codes each include the same number of colors.

Abstract: A reference set of image features is determined from an electronic data file specifying a reference image in a reference coordinate space. Rendering information describing a physical rendering of the reference image is ascertained. Calibration-enabling data is derived from the reference set of the image features and the ascertained rendering information. The calibration-enabling data is provided to calibrate an imaging system. The calibration-enabling data may be stored. The imaging system may capture an image of the physical rendering of the reference image in relation to a capture coordinate space. An extracted set of image features may be extracted from the captured image. Respective ones of the image features in the reference and extracted sets may be matched. The imaging system may be calibrated based on matched ones of the image features and the rendering information.

Abstract: Systems and methods of classifying pixels into a nonhuman animal integument class are described. In one aspect, values of features in a discriminant space are determined for respective pixels of the input image. The pixels are classified into a nonhuman animal integument class based on the respective feature values and a mapping that segments the discriminant space into one or more regions of feature values representing pixels associated with a nonhuman animal integument characteristic and one or more regions of feature values representing pixels unassociated with the nonhuman animal integument characteristic.

Abstract: A method and system for analyzing an image made up of a plurality of pixels includes identifying a subset of the pixels, and for each identified pixel a local patch of pixels surrounding the identified pixel is defined and the pixels in the local patch are grouped into bins. The local patch is divided into a plurality of sub-patches, and for each sub-patch the method includes determining how many pixels in each sub-patch fall into each of the bins to create an intermediate vector, and the intermediate vectors are concatenated to form a feature vector and describe the local patch.

Abstract: A method of grouping a plurality of media content is provided. The method includes converting at least a portion of the media content into at least one document object model (“DOM”) using a processor. The DOM can include a plurality of block elements, each comprising at least one content object. The method includes apportioning the content objects into a relevant portion and an irrelevant portion and extracting a set of keywords, the set comprising at least one keyword, within the relevant portion of the content objects. The method includes apportioning the relevant portion of the content objects into a related portion and an unrelated portion using at least a portion of the set of keywords and grouping the related portion of the content to provide a group of related content.

Abstract: Methods, systems, and machine-readable media for processing an input image are described. In one aspect, respective visual features of local input image regions of an input image having a first pixel resolution are analyzed to produce a result. Based on the result of analyzing the visual features, reduced-resolution visual representations of corresponding ones of the local input image regions are derived from the input image. A thumbnail image that reflects the arrangements, proportions and local details of the input image having a second pixel resolution lower than the first pixel resolution is produced from the reduced-resolution visual representations. The thumbnail image is output.

Abstract: Visual elements of a first image are changed in accordance with an image editing process to produce an edited high-resolution image and visual elements of a second image are modified in accordance with an emulator process to produce a modified low-resolution image. The emulator process produces the modified low-resolution image with visual changes relative to the second image that mimic perceived visual changes made to the visual elements of the first image by the image editing process to produce the edited high-resolution image. The emulator process is built from a set of one or more image enhancement processes in accordance with an optimization process.