Abstract: The present disclosure relates to image retrieval in an electronic device. An operating method of an electronic device includes determining an object included in an image and a position of extent occupied by the object in the image and retrieving at least one image including the object at the position from among a plurality of images.

Abstract: According to an approach for processing image data at network sites, a user invokes functionality on a client device, a scanning device, or a multi-function peripheral (MFP) to cause one or more printed receipts to be scanned to generate image or scan data. The scan data is transmitted by the client device or the MFP to a receipt data management system that maintains access data for a plurality of users and sites. The sites each include a graphical user interface that allows users to manually renter receipt data and request the generation of receipt data processing results. The receipt data management system manages the processing of the receipt data by a specified site on behalf of the user to generate receipt data processing results that satisfy third party requirements. This includes satisfying any authentication requirements of the specified site.

Abstract: The methods comprise: a) obtaining a 3D volume of the object containing two different sub-volumes identified as: well-defined zone (S) and not-well-defined zone (BZ) sub-volumes; b) generating well-defined zone (S) and not-well-defined zone (BZ) patches from the two sub-volumes; c) automatically identifying the possible channels by means of automatically obtaining candidate channels regions (CCR), dilating the perimeters of the well-defined zone (S) patches. The method includes embodiments for a layered approach, an EAM polygonal mesh approach and a volume approach. The computer program product is adapted to implement part or all of the steps of the method of the invention. The EAM system comprises computing navigation means implementing the method of the invention.

Abstract: The invention relates to a calibration apparatus for calibrating a system for introducing an influencing element like a radiation source into an object, particularly for calibrating a brachytherapy system. First and second images show a longish introduction device (12) like a catheter and a tracking device (16) like an electromagnetically trackable guidewire inserted into the introduction device as far as possible, and the introduction device and a calibration element (46) having the same dimensions as the influencing element and being inserted into the introduction device as far as possible. A spatial relation between the tracking device and the calibration element is determined based on the images for calibrating the system. Knowing this spatial relation allows accurately determining an influencing plan like a brachytherapy treatment plan and accurately positioning the influencing element in accordance with the influencing plan, which in turn allows for a more accurate influencing of the object.

Abstract: In a handwriting recognition method applied in an electronic device with touch screen and display screen, a handwriting input area and a handwriting display area are shown on a touch screen when a handwriting command is given. The handwriting of a complete or partial word in the handwriting input area is recognized and displayed and a new handwriting input area can be added when a preset slide operation is applied that the tracing of a handwritten character collides with a boundary of the input area. Handwriting in the new handwriting input area is recognized and displayed and the content of the original handwriting input area and of the new handwriting input area are combined to form a complete word when the handwriting input is finished. The complete word is then displayed.

Abstract: A method for image processing, including: obtaining an image including a table; identifying a first line corresponding to the table in the image, a first confidence value for the first line, and a first angle for the first line; initiating a plurality of angle bins corresponding to multiple angles; calculating, based on the first confidence value, a first plurality of bin values for a first subset of the plurality of angle bins within a window surrounding the first angle; adding the first plurality of bin values to the first subset of the plurality of angle bins; identifying an angle bin of the plurality of angle bins having a maximum bin value; and rotating the image based on the angle bin having the maximum bin value.

Abstract: The pertinence of digital image material is analysed in respect of matching a given reference. A color of the reference constitutes a reference record in a perceptual color space. Pixels of a piece of digital image material are converted into the perceptual color space, and labelled according to how their converted pixel values belong to environments of principal colors in the perceptual color space. A connected set of pixels is selected that have at least one common label. A subset of the connected set of pixels is determined, so that the pixel(s) of the subset are those for which a color similarity distance to the reference record is at an extremity. For the connected set of pixels, a representative color is selected among or derived from the color or colors of the pixels that belong to the subset.

Abstract: A calculation device includes a processor configured to identify a person in a plurality of images captured in time series respectively, obtain gaze information indicating a direction of a line of sight of the person, identify at least one of a time period in which the person directs the line of sight to a certain object and a number of times that the person directs the line of sight to the certain object, based on the gaze information and a position at which the certain object is placed, estimate a relationship of two or more persons who are identified in one image from among the plurality of images, based on a distance between the two or more persons, and calculate an index value indicating probability that the certain object is utilized, based on the relationship, and at least one of the time period and the number of times.

Abstract: Technologies are generally described for methods and systems effective to identify a photographer of an image based on the image. The image may correspond to image data generated by a device. In an example, a processor may identify feature data in the image data. The feature data may correspond to a static feature in real space. The processor may also determine a position of the photographer based on the identified feature data. The processor may also retrieve video data from a memory. The video data may include the feature data. The processor may also determine a time that may correspond to the generation of the image data. The determination of the time may be based on the video data. The processor may also identify the photographer based on the position and based on the time.

Abstract: A computerized method for determining an objective tumor response to an anti-cancer therapy using one or more cross-sectional images can comprise receiving one or more cross-sectional images that comprise one or more cross-sectional slices of digital medical image data and identifying one or more target lesions within the one or more cross-sectional images. The method can also comprise analyzing at least one of the target lesions with an image-processing module configured to identify a total range of pixel intensities and restrict the total range of pixel intensities to a first restricted range that corresponds to pixel intensities representative of vascularized tumor. Further still, the method can comprise deriving a vascular tumor burden for the at least one of the one or more target lesions and determining the objective tumor response for the at least one of the one or more target lesions based on the vascular tumor burden.

Abstract: The present invention relates to a new eye-contact function providing method which provides a natural eye-contact function to attendances by using a stereo image and a depth image to estimate a precise depth value of the occlusion region and improve a quality of a composite eye-contact image when there are two or more remote attendances in one site at the time of a video conference using a video conference system and an apparatus therefor.

Abstract: A feature amount generation device includes a feature point detecting unit which detects a feature point from an input image, a pixel information generating unit which generates pixel information from pixel values of the surroundings of the feature point in the input image, a feature point pixel information distribution generating unit which generates a first distribution of pixel information of a first region including the feature point, a sub-feature point detecting unit which detects sub-feature points that are feature points in the surroundings of the feature point, a sub-feature point pixel information distribution generating unit which generates second distributions of pixel information of second regions including the sub-feature points, and a feature amount generating unit which generates a feature amount at the feature point based on the first distribution and the second distributions.

Abstract: A method for recognizing an occurrence of an object in an image is provided where the appearance of the object may vary from one occurrence to another. The method includes defining a model set for object recognition, the model set including at least one model, acquiring a target image, processing the target image according to a set of morphological operations to obtain a set of morphologically-processed target images, performing object recognition on the set of morphologically-processed target images for the defined model set, and selecting at least one candidate occurrence of a model of the defined model set in the target image based on the object recognition performed on the set of morphologically-processed target images.

Abstract: A template image is found and a target image is combined with a combining area of the found template image. The template image found has first template image analysis information, which is of a type identical with that of first target image analysis information in target image analysis information consisting of the brightness, contrast, saturation, hue, color balance and spatial frequency of the target image, and for which the degree of resemblance is equal to or greater than a first threshold value, and moreover has second template image analysis information, which is of a type identical with that of second target image analysis information in target image analysis information, and for which the degree of resemblance is less than a second threshold value.

Abstract: A mechanism for determining atmospheric conditions from an image is described. A mechanism for determining atmospheric conditions includes determining an intensity value for pixels above and below the horizon in an image, calculating a slope between the intensity values for the pixels above the horizon, and a slope between the intensity values for the pixels below the horizon, and determining a difference between the slopes to determine the atmospheric conditions.

Abstract: A lesion diagnosis apparatus and a lesion diagnosis method are provided. A lesion-surrounding area determination unit is configured to determine an existence of a lesion-surrounding area from continuous medical images. A feedback provision unit is configured to generate feedback information about a presence of a lesion in the lesion-surrounding area.

Abstract: The present invention relates generally to a system and methods that facilitates the identification of an individual through the use of data. Certain more particular embodiments of the present invention facilitate the contactless acquisition and processing of biometric data for identification purposes from a biometric source. One preferred embodiment of the present invention of the system includes an apparatus by which is sized and shape to capture of one or more images of an portion of individual for processing and identification purposes. Advantageously, certain embodiments of the present invention facilitate the enrollment of one or more individuals for verification and identification purposes through the use of the data developed from the one or more captured images.

Abstract: In an embodiment, a method of decoding a watermarked video includes receiving a video including a watermark and three or more pilot signals. The method includes attempting to detect the watermark and retrieve a corresponding message in the video based on one or more decoding starting points of the video. The method includes outputting the message if the attempt is successful. If the attempt fails, the method includes detecting the pilot signals in the video; based on the detected pilot signals, estimating a geometric distortion of the video; inverting the geometric distortion for the video to generate a warped video; and attempting to detect the watermark and retrieve the corresponding message in the warped video based on one or more decoding starting points of the warped video.

Abstract: A mechanism for image recognition based on multiple factors is described. A method, system and computer-readable medium for multi-factor image recognition includes using environmental contextual attributes to create likelihood tiers in an image recognition database such that irrelevant entries are excluded from the search. The mechanism described here limits and sorts by contextual likelihood the number of entries to be searched, increasing both the speed and accuracy of the image recognition process.

Abstract: A system capable of determining which recognition algorithms should be applied to regions of interest within digital representations is presented. A preprocessing module utilizes one or more feature identification algorithms to determine regions of interest based on feature density. The preprocessing modules leverages the feature density signature for each region to determine which of a plurality of diverse recognition modules should operate on the region of interest. A specific embodiment that focuses on structured documents is also presented. Further, the disclosed approach can be enhanced by addition of an object classifier that classifies types of objects found in the regions of interest.