Abstract: A method of embedding a pattern as a watermark into a content segment. Prior to modifying the content segment, an impulse response of a filter to be used for detecting the pattern is determined; the time-reversed impulse response of the filter is inserted into the segment as the set of imperceptible features; wherein the filter is an infinite impulse response filter having a semi-white frequency spectrum and provides a pseudo-random time-domain response.

Abstract: In one embodiment, a method includes identifying a shared visual concept in visual-media items based on shared visual features in images of the visual-media items; extracting, for each of the visual-media items, n-grams from communications associated with the visual-media item; generating, in a d-dimensional space, an embedding for each of the visual-media items at a location based on the visual concepts included in the visual-media item; generating, in the d-dimensional space, an embedding for each of the extracted n-grams at a location based on a frequency of occurrence of the n-gram in the communications associated with the visual-media items; and associating, with the shared visual concept, the extracted n-grams that have embeddings within a threshold area of the embeddings for the identified visual-media items.

Abstract: An X-ray image processing apparatus for performing image processing for frames successively obtained by an X-ray sensor acquires a first analysis value and a second analysis value by analyzing each of the successively obtained frames, and calculates, as a first statistic and a second statistic, statistics in a time direction of the first analysis values and the second analysis values of the successively obtained frames. Based on the calculated first and second statistics, the X-ray image processing apparatus determines whether to correct the first analysis value. If it is determined to correct the first analysis value, the X-ray image processing apparatus corrects the first analysis value based on the first statistic.

Abstract: The present invention relates to an image object category recognition method and device. The recognition method comprises an off-line autonomous learning process of a computer, which mainly comprises the following steps: image feature extracting, cluster analyzing and acquisition of an average image of object categories. In addition, the method of the present invention also comprises an on-line automatic category recognition process. The present invention can significantly reduce the amount of computation, reduce computation errors and improve the recognition accuracy significantly in the recognition process.

Abstract: A method and system for assigning colors to an image or part thereof, the method comprising: selecting a sequence of colors for assignment to the image or part thereof; determining a minimum intensity IMIN within the image or part thereof; determining a maximum intensity IMAX within the image or part thereof; and determining relative intensity values RIV(i) for each pixel or voxel i according to; (I) where I(i) is an intensity of pixel or voxel /, and ƒ is a preselected function (such as to re-arrange the normalized values); and assigning colors to at least some pixels in the image or part thereof based on the relative intensity values and an order of each of the colors in the sequence.

Abstract: Methods and apparatus, including computer programs encoded on a computer storage medium, for image reconstruction are provided. The methods include: accessing a first set of projection data including a plurality of first projection data each corresponding to a respective projection angle of a plurality of projection angles, generating a first set of reconstructed data by image reconstruction with the first set of projection data, generating a second set of projection data comprising a plurality of second projection data each corresponding to a respective projection angle by projection calculation with the first set of reconstructed data, generating a third set of projection data by optimizing the first set of projection data based on a correlation between respective first projection data and respective second projection data corresponding to each projection angle, and generating a second set of reconstructed data by image reconstruction with the third set of projection data.

Abstract: A method that incorporates teachings of the subject disclosure may include, for example, determining, by a system comprising a processor, more common features of a plurality of images according to similarity matrices indicating relative similarities between instances of common features occurring within multiple images of the plurality of images, defining, by the system, cluster groups associated with the more common features, where each cluster group comprises cluster images of the plurality of images, and where the more common features are present in each the cluster images, and performing, by the system, quality-based filtering on the cluster images to identify a target cluster image to represent the cluster images for each of the cluster groups. Other embodiments are disclosed.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing facial recognition. In one aspect, a method includes accessing a first digital photograph. A first face template is generated for each face detected in the first digital photograph. Second user identifiers that are associated with a first user identifier are determined. A digital photograph index of photographs, user identifiers, and areas in the digital photographs in which a face of a user identified by user identifier is located is accessed. Second user identifiers are selected, and second face templates are generated from the faces of the user the digital photographs. First face templates that match second face templates are identified, and for each first face template that matches a second face template, data is generated specifying the area in the first digital photograph in which the face of the second user is located.

Abstract: A computer-implemented method includes receiving an image. The image includes one or more objects and one or more text portions. The computer-implemented method further includes identifying the one or more objects. The computer-implemented method further includes, for each of the one or more objects identified, extracting an object tag. The computer-implemented method further includes, for each of the one or more text portions, extracting a text tag. The computer-implemented method further includes, for each text tag, determining whether the text tag describes any of the one or more objects based on the object tag extracted from each object to yield a determination. The computer-implemented method further includes, responsive to the determination: performing an image process to that of the one or more objects, and performing a text process to that of the one or more text portions. A corresponding computer program product and computer system are also disclosed.

Abstract: An object of the present invention is to provide a pattern-measuring apparatus and a semiconductor-measuring system which are able to obtain an evaluation result for suitably selecting processing with respect to a semiconductor device. In the present invention for attaining the object described above, there is proposed a pattern-measuring apparatus including an arithmetic device which compares a circuit pattern of an electronic device with a reference pattern, in which the arithmetic device classifies the circuit pattern in processing unit of the circuit pattern on the basis of a comparison of a measurement result between the circuit pattern and the reference pattern with at least two threshold values.

Abstract: Provided are an image processing system, an image processing method, and a program capable of suitably performing the association of a person appearing in a picture in accordance with a highly reliable user input. This image processing system includes: an input unit for receiving an input of pictures captured by multiple video cameras; a person-to-be-tracked registration unit capable of registering one or more persons appearing in the pictures input from the input unit; a moving image display unit for displaying, on a display device, the pictures input by the input unit, and a UI generation unit capable of registering that the person appearing in the displayed pictures and the person registered by the person-to-be-tracked registration unit are the same person, or not the same person.

Abstract: A system and method that determines multiple linear groups of horizontally placed items in an image is disclosed. The method includes receiving an image including a portion of a shelving unit, identifying a plurality of items in the image, determining a plurality of facings, clustering the plurality of facings, merging a plurality of clusters and determining a list of linear groups in the image.

Abstract: The present application relates to a method and system for analyzing blood flow conditions. The method includes: obtaining images at multiple time phases; constructing multiple vascular models corresponding to the multiple time phases; correlating the multiple vascular models; setting boundary conditions of the multiple vascular models respectively based on the result of correlation; and determining condition of blood vessel of the vascular models.

Abstract: An identity document digital image correction method comprising identifying the type, class and issue of a presented identity document from features in a digital image thereof; retrieving from a reference identity document repository, information about a reference authentic version of an identity document of the same type, class and issue as the presented identity document; allowing a user to select at least two features in the digital image of the presented identity document calculating the distance between the two selected features; determining the distance between corresponding features in the reference authentic version of the identity document; calculating a scaling factor ?x, y from the ratio of the distance between the two selected features in the presented identity document and the distance between corresponding features in the reference authentic version of the identity document; applying the scaling factor to measurements of features in the digital image of the presented identity document.

Abstract: A computer-implemented method includes receiving an image. The image includes one or more objects and one or more text portions. The computer-implemented method further includes identifying the one or more objects. The computer-implemented method further includes, for each of the one or more objects identified, extracting an object tag. The computer-implemented method further includes, for each of the one or more text portions, extracting a text tag. The computer-implemented method further includes, for each text tag, determining whether the text tag describes any of the one or more objects based on the object tag extracted from each object to yield a determination. The computer-implemented method further includes, responsive to the determination: performing an image process to that of the one or more objects, and performing a text process to that of the one or more text portions. A corresponding computer program product and computer system are also disclosed.

Abstract: An image processing apparatus according to an embodiment includes a processor and a memory. The memory stores processor-executable instructions that, when executed by the processor, cause the processor to: receive an input of information designating an observation target; extract, from each of magnetic resonance (MR) images included in an MR image group collected by applying a tagging pulse to a region where a fluid flows, a group of regions of the fluid; analyze, by an analyzing method associated with the observation target, the group of regions of the fluid extracted from each of the MR images, thereby deriving an index indicating a dynamic state of the fluid; and cause the index to be displayed on a display.

Abstract: The invention relates to a method for recording individual three-dimensional optical images (1) to form a global image (50) of a tooth situation comprising an upper jaw (2) and a lower jaw (3). A first 3D model (6) of a first subsection of the upper jaw and a second 3D model (8) of a second subsection of the lower jaw are produced from the individual images. Subsequently, a geometric positional relationship between the first 3D model (6) and the second 3D model (8) is determined, said positional relationship being determined by using a lateral image (20, 21, 22) and/or using a contact pattern (31, 32). Said lateral image (20, 21, 22) comprises an image area which comprises at least part of the first subsection of the upper jaw (2) and at least part of the second subsection of the lower jaw (3). Said contact pattern comprises several contact areas (31, 32) between the upper jaw and the lower jaw. Said contact pattern (30, 31, 32) is measured by means of an occlusion paper (29).

Abstract: Methods for characterizing two-dimensional concept drawings are disclosed. The concept drawings comprise cross-sections intersecting at cross-hairs. The method comprises: determining, for each cross-section: a plane on which the cross-section is located, the plane having a normal vector in a three-dimensional coordinate system; and, for each cross-hair on the cross-section, a tangent vector in the three-dimensional coordinate system which is tangent to the cross-section at the cross-hair. For each cross-hair comprising ith and jth intersecting cross-sections, one or more constraints are satisfied, the constraints comprising: the normal vector ni of the plane on which the ith cross-section is located is at least approximately orthogonal to the normal vector nj of the plane on which the jth cross-section is located; and the tangent vector tij to the ith cross-section at the cross-hair is at least approximately orthogonal to the tangent vector tji to the jth cross-section at the cross-hair.

Abstract: The invention relates to a device and a method for determining the weight of product (2), in particular a pharmaceutical product, which is located in a container (3). The device comprises at least one x-ray source (28), which produces a radiation path (18), for passing radiation through the container (3), and a sensor (14), which detects the radiation of the container (3) through which radiation is passed in the form of an image (12), wherein an evaluating apparatus (14), is provided, which divides the image (12) of the container (3) through which radiation is passed into at least one evaluation region (21) in which there is no product (2).

Abstract: A method for improving the image quality of a three-dimensional magnetic resonance image dataset recorded with a magnetic resonance device, wherein, from at least one correction image dataset recorded with a modality other than magnetic resonance imaging, registered with the magnetic resonance image dataset, showing at least partly the same recording region as the magnetic resonance image dataset, especially an x-ray image dataset, relevant material parameters are derived locally-resolved for the magnetic resonance imaging, which are used for establishing a virtual magnetic resonance comparison dataset in a simulation wherein, as a function of a comparison between the magnetic resonance image dataset and the magnetic resonance comparison dataset, at least one measure parameter describing an image quality improvement measure to be applied in the k-space is determined and the image quality improvement measure is carried out with the measure parameter relating to the magnetic resonance image dataset.