Abstract: A method for selecting a video thumbnail includes generating a visual theme model for a sample set of images that are representative of textual information corresponding to a video file. Each of a set of candidate key frames is distinguished according to similarities shared between the candidate key frames and the visual theme model. A display is caused of a selected one of the distinguished candidate key frames as a video thumbnail for the video file.

Abstract: Presented is a light detection device including a first detecting portion detecting fluorescence from a first detection position on a conveyor path, a second detecting portion detecting afterglow from a second detection position on the conveyor path, a lighting portion applying excitation light over a range including the first detection position but not the second detection position, a first reference member including fluorescent material emitting fluorescence and emitting reference light toward the first detecting portion, a second reference member emitting reference light toward the second detecting portion, the reference light not influencing a result of detection by the second detecting portion, and a correction controller correcting a detection result by the first detecting portion based on the reference light detected by the first detecting portion and correcting a detection result by the second detecting portion based on the reference light detected by the second detecting portion.

Abstract: A state machine gesture recognition algorithm for interpreting streams of coordinates received from a touch sensor. The gesture recognition code can be written in a high level language such as C and then compiled and embedded in a microcontroller chip, or CPU chip as desired. The gesture recognition code can be loaded into the same chip that interprets the touch signals from the touch sensor and generates the time series data, e.g. a microcontroller, or other programmable logic device such as a field programmable gate array.

Abstract: A method for displaying a radiographic image identifies a region of interest in a portion of the radiographic image, suppresses background image content within the identified region of interest, and enhances contrast of the image within the region of interest to form an enhanced region of interest. The enhanced region of interest is displayed within the remaining portion of the radiographic image.

Abstract: A method for measuring an infrared signature of a moving target includes: tracking the moving target with a tracking system along a path from a start position to an end position, measuring infrared radiation data of the moving target along the path, repositioning the tracking system to the start position, retracing the path to measure the infrared radiation data of the background, and determining the infrared signature of the moving target by comparing the infrared radiation data of the moving object with the infrared radiation data of the background without the moving object.

Abstract: An optical control method for use in print finishing, comprising the following steps: First, guiding a planar printed product (12, 13) along a conveying path past at least one optical sensor (14). Secondly, detecting an electronic image by the optical sensor (14), wherein the electronic image comprises at least one region of the printed product (12, 13). Thirdly, transferring the electronic image into a corrected image on the basis of corrective information, which converts a recording perspective of the at least one optical sensor (14) into a target perspective. Fourth, comparing the corrected image to a reference value or a reference image, and generating at least one signal (27) on the basis of a result of the comparison.

Abstract: An image processing apparatus executes smoothing processing (reduction conversion) of an input image to acquire a smoothed image (reduced image), acquires a normalization parameter for normalization from the smoothed image, and normalizes pixel values of the input image based on the normalization parameter.

Abstract: An information processing apparatus is connected with at least one external apparatus via a network. An input image of a first user related to the information processing apparatus is accepted while displaying a plurality of target images on a display. The plurality of target images includes an image of a second user related to the external apparatus. A gaze of the first user is detected from the input image. A target image looked by the first user is recognized from the plurality of target images, based on the gaze. A first head model as a head model of the first user, and a first texture to be projected onto the first head model, are generated. A first ID to identify a subject of the target image, the first head model and the first texture, are transmitted to the external apparatus.

Abstract: A displacement detection method includes the steps of: capturing a first frame and a second frame; selecting a first block with a predetermined size in the first frame and selecting a second block with the predetermined size in the second frame; determining a displacement according to the first block and the second block; comparing the displacement with at least one threshold; and adjusting the predetermined size according to a comparison result of comparing the displacement and the threshold. The present invention further provides a displacement detection apparatus.

Abstract: Detecting a change between images is performed more effectively when a measure of change is used for the detection that depends on a length of the code blocks to which the images are individually entropy-encoded, and which are allocated to different sections of the respective image, since the length of these code blocks is also available without decoding. This uses the fact that the length or amount of data of a code block directly depends, in large parts, on the entropy and hence on the complexity of the allocated image section, and that changes between images are, with high probability, also reflected in a change of complexity.

Abstract: An image processing apparatus includes a motion vector detecting unit configured to detect, for each field of a signal, a motion vector in each of a plurality of vector detection areas within the field, a determining unit configured to determine, for each field, a group area obtained by grouping the motion vector detection areas based on the motion vector detected by the motion vector detecting unit, a geometric center calculation unit configured to obtain, for each field, a geometric center of the group area, a determination unit configured to determine group areas that correspond to each other in fields that are in consecutive relation in terms of time by comparing the geometric centers of the group areas obtained for each field in consecutive relation.

Abstract: In a maximum a posteriori tomosynthesis method to reconstruct a three-dimensional image from two-dimensional x-ray images, a Geman prior function to reduce the noise is used in which the edges and boundaries of tissue structures remain visible. The method is parameterized by the estimated noise value of the attenuation coefficients and the estimated average tissue attenuation value.

Abstract: One embodiment of the present invention is to provide an image processing method and an image processing apparatus which can also handle data other than a standard color space and can also handle a case in which the color space of an image color adjustment processing section and that of an image color conversion processing section are different from each other. In one embodiment of the present invention, predetermined color conversion is performed on an image in a first color space, and a first color conversion table defined in the first color space is generated. Next, based on the first color conversion table, a second color conversion table defined in a second color space is generated.

Abstract: The present invention provides a control circuit and a scanning method thereof, and can be applied to a color sequential liquid crystal display (LCD). The color sequential LCD produces a plurality of color backlights, receives a data signal, and receives a plurality of scanning signals produced by a scan driving circuit. The voltage levels of the plurality of scan signals corresponding to each of the color backlights are select levels alternately. When the voltage level of a scan signal in the plurality of scan signals is the select level, the voltage levels of the other scan signals in the plurality of scan signals are non-select levels. Because the voltage levels of the plurality of scan signals corresponding to each of the color backlights are select levels alternately to scan sequentially the same backlight, color-mixing effects on images can be reduced.

Abstract: A method for guiding transcatheter aortic valve implantations includes receiving an interventional 3D image of an aortic root reconstructed from a sequence of 2D images acquired from a C-arm computed tomography (CT) system being rotated about a patient through a predetermined number of degrees, segmenting the aortic root and detecting aortic root landmarks in the 3D image, where the aortic root landmarks include three lowest points of aortic root cusps, two coronary artery ostia, and three commissures points where the cusps meet, cropping an area inside the segmented aortic root out of the 3D volume for volume rendering, centering the 3D image on an intersection of two orthogonal planes, each containing the two detected coronary ostia, that are orthogonal to a plane spanned by three lowest points of the aortic root cusps, and volume rendering the 3D cropped aortic root image together with the detected landmarks onto a 2D image.

Abstract: A method for cardiac segmentation in magnetic resonance (MR) cine data, includes providing a time series of 3D cardiac MR images acquired at a plurality of phases over at least one cardiac cycle, in which each 3D image includes a plurality of 2D slices, and a heart and blood pool has been detected in each image. Gray scales of each image are analyzed to compute histograms of the blood pool and myocardium. Non-rigid registration deformation fields are calculated to register a selected image slice with corresponding slices in each phase. Endocardium and epicardium gradients are calculated for one phase of the selected image slice. Contours for the endocardium and epicardium are computed from the gradients in the one phase, and the endocardium and epicardium contours are recovered in all phases of the selected image slice. The recovered endocardium and epicardium contours segment the heart in the selected image slice.

Abstract: Approaches for enabling a computerized entity to recognize characters in an electronic document. In a persistent data store, character identification data is stored. Character identification data is data that, for one or more characters of one or more fonts, associates (a) glyph data for a character with (b) code point data for the character, where the glyph data describes how to render the character on or to an output device, and the code point data identifies, to the computerized entity, the identity of the character. Upon determining that an embedded font document, such as a PDF document, does not include a set of code point data for a particular character, the character identification data is consulted to determine the identity of the particular character. In this way, a machine can recognize characters in the embedded font document and perform functions such as indexing or searching on the embedded font document.

Abstract: An image processing apparatus includes an image extracting unit, a vector information generating unit and a color information adding unit. The image extracting unit extracts an image to be vectorized from a multilevel image as a binary image. The vector information generating unit vectorizes the binary image extracted by the image extracting unit to generate vector information. The color information adding unit adds color information to the vector information generated by the vector information generating unit.

Abstract: A computer-implemented method for visualizing components of a 3D medical image includes the steps of performing a segmentation on the 3D medical image to generate a segmented structure, obtaining a surface definition based upon the segmented structure, and generating a series of 2D images using the surface definition and deformations of the surface definition.

Abstract: A system for processing remotely acquired imagery includes a storage element (316) for receiving first and second sets of imagery data associated metadata defining a first image of a panchromatic image type and a second image of a multi-spectral image type (404). The system also includes a processing element (302) communicatively coupled to the storage element and configured for obtaining a mapping between pixels in the first image and the second image based on the associated metadata (406). The processing element is further configured for generating a third set of imagery data defining a third image of a panchromatic type based on the second set of imagery data (408). The processing element is also configured for generating an alternate mapping for the first and second images based on comparing areas of pixels in the first and third images that are non-corresponding according to the mapping function (426).