Abstract: An augmented reading system distributes electronic content related to paper documents. A user reading a paper document captures an image of a page of the paper document via a computing device communicatively coupled to the augmented reading system. The augmented reading system receives the image and correlates the image to electronic documents to identify the paper document. The augmented reading system may perform an image-based comparison or a character-based comparison to correlate the image with electronic documents. Additional electronic content related to the identified document is retrieved and delivered to the computing device of the user. Accordingly, the augmented reading system provides a bridge between paper documents and digital content and services.

Abstract: An image processing device includes a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute: acquiring an image which includes a first region and a second region of a user; detecting, from a group of candidate areas for the first region and the second region included in the image, the candidate area corresponding to the first region based on biometric characteristics of the first region; determining a connection direction between the first region and the second region based on outer edges of the candidate area corresponding to the first region; and selecting the candidate area corresponding to the second region from the group of candidate areas based on the connection direction.

Abstract: Subject matter disclosed herein relates to image object recognition or retrieval.

Abstract: Visual inspection of alpha channel values is aided by displaying a partially transparent image rendered over an animated background pattern. The background pattern is user-specified or chosen automatically. The background pattern has colors, shapes, position, orientation, magnification, and distortion. The visual appearance of the background pattern is automatically altered, and the partially transparent image is redisplayed, this time rendered over the altered background pattern. The background pattern may scroll, rotate, change shape, pulse, morph shape, and/or change colors during animation. The background includes a checkerboard or another tessellation, a color gradient, a transparency heat map, a procedurally generated texture, and/or other patterns. A color identified in the partially transparent image may provoke use of a complementary color in the background. The image whose transparency is being visually inspected zooms independently of the background pattern.

Abstract: A method for determining a region of an image is described. The method includes presenting an image of a scene including one or more objects. The method also includes receiving an input selecting a single point on the image corresponding to a target object. The method further includes obtaining a motion mask based on the image. The motion mask indicates a local motion section and a global motion section of the image. The method further includes determining a region in the image based on the selected point and the motion mask.

Abstract: An image processing apparatus according to the present invention includes a specification unit configured to acquire first image data and second image data, and specify a character string out of character strings included in the first image data, and a storage unit configured to store the first and the second image data in one folder in a case where a character string in the second image data at a position corresponding to a position of the specified character string in the first image data coincides with the character string specified by the specification unit, and configured to store the first and the second image data in different folders in a case where the character string in the second image data at the position corresponding to the position of the character string in the first image data specified by the specification unit does not coincide with the specified character string.

Abstract: A method comprising: receiving a multiplicity of videos from a source; for each video: receiving meta data related to the video; extracting from the video a video frame containing computer code; identifying a region of interest (ROI) within the video frame; performing OCR of the ROI to extract a code segment; analyzing the code segment by: semantically analyzing the code segment to obtain a first rank, structurally analyzing the code segment to obtain a second rank, and analyzing the meta data to obtain a third rank; and combining the first rank, second rank and third rank into a total rank associated with the code segment; receiving a query; matching the query to each code segment to identify matching code segments and associated videos; and providing the associated videos in accordance with total ranks associated with the matching code segments.

Abstract: A method of extracting a bed area of a bed performed by a computer, includes detecting linear edges which remain stationary among plural images; and selecting a bed area candidate based on lengths of the linear edges and angles between the linear edges which cross to each other in a U shape formed as combinations of the detected linear edges.

Abstract: Image processing may include separating a noise component from an original image resulting in a de-noised image and determining a noise parameterization for the noise component. The de-noised image and the noise parameterization may be compressed.

Abstract: In various example embodiments, a system and method for image query are presented. A feature detector generates first feature description data of a first type. An image processor accesses feature codes and angle bins. The image processor generates second feature description data of a second type by comparing a plurality of groups with respective codes of the feature codes. Each of the plurality of groups comprises at least of portion of the first feature description data determined based at least on the feature codes and the angle bins. A search engine selects a first one of a plurality of stored feature description data linked to respective stored images. An interface provides an indication of the stored image linked to the first stored feature description data for display of the stored image linked to the first stored feature description data on a remote device.

Abstract: The present invention relates to a method for assessing the presence and/or the severity of a lesion in an organ or tissue of a subject through automated analysis of at least one image of said organ or tissue, wherein said organ or tissue is preferably a liver organ or liver tissue, comprising the calculation of a score combining descriptors of said image, wherein said method comprises the steps of: a. measuring on said at least one image at least two descriptors of said at least one image; b. mathematically combining said at least two descriptors in a score; and c. assessing the presence and/or the severity of a lesion in the organ or tissue based on the value of the score calculated at step (b).

Abstract: There is provided an information processing apparatus, including an image acquisition unit which acquires an input image generated by imaging a real space using an image pickup apparatus, a display control unit which superimposes virtual objects, which are associated with one or more real objects shown in the input image, on the input image, and a selection unit which selects, after at least one real object from among the one or more real objects is designated by a user, the designated real object as an interested object across a plurality of frames. The display control unit changes displayed information, which is displayed by the virtual object associated with the interested object, according to a relative position or attitude between the interested object and the image pickup apparatus.

Abstract: An image data processing apparatus including a data receiver receiving image data to be segmented, and an atlas selection processor accessing a plurality of atlas data sets and selecting a subset of the atlas data sets for use in segmenting the image data, wherein the atlas selection processor is configured to select the subset of atlas data sets in dependence on the positions of one or more anatomical landmarks comprised in the plurality of atlas data sets.

Abstract: A confidence map for optical flow gradients is constructed calculating a set of census texture gradients for each pixel of an image, filtering said gradients and extracting confidence values from said gradients using a plurality of decision tree classifiers. A confidence map is then generated from said confidence values.

Abstract: A fingerprint processing system includes an input unit, a calculation unit and an output unit. The input unit is applied to input an original fingerprint image. The calculation unit is applied to decompose the original fingerprint image to a decomposed image by singular value decomposition (SVD) and the decomposed image is transformed into a plurality of sub-band images by discrete wavelet transformation (DWT) with a template. A plurality of compensation weight coefficients of DWT are calculated to compensate the sub-band images to generate a plurality of compensated sub-band images which are rebuilt by an inverse DWT. After rebuilding the compensated sub-band images, the output unit is applied to output an enhanced fingerprint image.

Abstract: A method of tracking an inventory of objects via a mobile communications device includes acquiring an image of one or more of the objects via the mobile communications device, which also collects a location of the mobile communications device while acquiring the image of the one or more of the objects. The location and image are transferred from the mobile communications device to a remote server via a wireless network, such that the one or more of the objects are identified at the server based on the image, and the location and identity of the one or more objects are stored on a database associated with the server.

Abstract: The disclosure includes a system and method for distinguishing objects of similar appearance that vary in color. An image recognition application receives a query image of a plurality of objects, determines a candidate list of indexed images that match an object in the query image based on luminance features, crops an image of the object from the query image to generate a cropped image, computes color features for the object, ranks the candidate list of indexed images based on the color features, and provides the candidate list of indexed images to a user.

Abstract: Identifying objects in images is a difficult problem, particularly in cases an original image is noisy or has areas narrow in color or grayscale gradient. A technique employing a convolutional network has been identified to identify objects in such images in an automated and rapid manner. One example embodiment trains a convolutional network including multiple layers of filters. The filters are trained by learning and are arranged in successive layers and produce images having at least a same resolution as an original image. The filters are trained as a function of the original image or a desired image labeling; the image labels of objects identified in the original image are reported and may be used for segmentation. The technique can be applied to images of neural circuitry or electron microscopy, for example. The same technique can also be applied to correction of photographs or videos.

Abstract: In an image processing apparatus, an image pickup unit takes images of an object including the face of a person wearing the glasses by which to observe a stereoscopic image that contains a first parallax image and a second parallax image obtained when the object in a three-dimensional (3D) space is viewed from different viewpoints. A glasses identifying unit identifies the glasses included in the image of the object taken by the image pickup unit. A face detector detects a facial region the face of the person included in the image of the object taken by the image pickup unit, based on the glasses identified by the glasses identifying unit. An augmented-reality special rendering unit adds a virtual feature to the facial region of the face of the person detected by the face detector.

Abstract: A CT system for security check and a method thereof are provided. The method includes: reading inspection data of an inspected object; inserting at least one three-dimensional (3D) Fictional Threat Image (FTI) into a 3D inspection image of the inspected object, which is obtained from the inspection data; receiving a selection of at least one region in the 3D inspection image including the 3D FTI or at least one region in a two-dimensional (2D) inspection image including a 2D FTI corresponding to the 3D FTI, wherein the 2D inspection image is obtained from the 3D inspection image or is obtained from the inspection data; and providing a feedback of the 3D inspection image including at least one 3D FTI in response to the selection. With the above solution, it is convenient for a user to rapidly mark a suspected object in the CT image, and provides a feedback of whether a FTI is included.

Abstract: Systems and methods are disclosed for background modeling in a computer vision system for enabling foreground object detection. A video acquisition model receives video data from a sequence of frames. A fit test module identifies a foreground object from the video data and defines a foreground mask representative of the identified foreground object. A foreground-aware background estimation module defines a first background model from the video data and then further defines an updated background model from an association of a current frame of the video data, the first background model and the foreground mask.

Abstract: An object detection apparatus includes means for acquiring image data from an in-vehicle imaging device and means for extracting, from the image data acquired by the acquiring means, an object region which is an image region where a preset object exists. Moreover, the extracting means includes means for identifying the object region, means for measuring the processing time of the identifying means and controlling means. The identifying means includes a plurality of identifiers for identifying candidate regions for the object region. The identifiers are serially linked so as to sequentially refine the candidate regions. The controlling means controls, based on the measured processing time at a preset time point, a degree of refining the candidate regions by the identifying means after the preset time point by adjusting at least one of the linkage between the identifiers and processes to be executed by the identifiers after the preset time point.

Abstract: A similarity calculation unit calculates a similarity between pixel values of a target pixel and a reference pixel and a similarity between the pixel value of the target pixel and an average value of pixel values of reference pixels, in an input image. A weighting factor calculation unit calculates weighting factors based on the calculated similarities. A weighted average value calculation unit calculates weighted average values of the pixel value of the reference pixel and the average value of the pixel values of the reference pixels by use of the calculated weighting factors. A subtraction unit calculates a difference value between the pixel values of the target pixel and the reference pixel. An isolation degree calculation unit calculates an isolation degree based on the calculated deference value. A correction unit corrects the target pixel based on the calculated isolation degree.

Abstract: An object recognizer of an image processing apparatus separately extracts a first feature point and a second feature point of a first line segment and a second line segment of which a variation is equal to or greater than a variation threshold value and the first feature point and the second feature point of the first line segment and the second line segment of which the variation is smaller than the variation threshold value, and determines a corresponding point in a second captured image corresponding to the first feature point of the first line segment of which the variation is equal to or greater than the variation threshold value as the second feature point of the second line segment corresponding to the first line segment of which the variation is equal to or greater than the variation threshold value to recognize an object.

Abstract: A method of tracking an object in a plurality of image frames includes receiving an initial contour associated with the edge object in a first one of the image frames. A plurality of first measurement points distributed non-uniformly along the initial contour are determined. The first measurement points are biased to relatively high information portions of the initial contour. A set of subsequent contours are estimated from the initial contour in a second image frame. An identical plurality of second measurement points are determined along each of the set of estimated subsequent contours in the second image frame using the same non-uniform distribution of the first measurement points in the first image frame. The method selects at least one contour of the set of estimated subsequent contours using a confidence measure determined from the second measurement points as distributed along the selected subsequent contour.

Abstract: A method, apparatus, and computer program product are disclosed for compression of a 2D-plus-depth representation based on spatial downsampling of an initial depth map. By utilizing the color image accompanying the initial depth map, it is possible to infer structural information that refines and reconstructs the initial depth map out of a heavily subsampled version of the depth map. In the process, no indexing of the exact positions of the subsampled depth values is needed, which leads to very efficient compression. An example method causes segmentation of the color image into a set of super-pixel segments, and causes downsampling of the initial depth map based on the set of super-pixel segments. The method subsequently causes generation and storage of a compressed representation based on the segmented color image and the downsampled depth map. A corresponding apparatus and computer program product are also provided.

Abstract: An image processing apparatus includes an image-frame reading section that reads one or more image frames from a moving image, a region-boundary-line-information receiving section that receives information concerning a region boundary line in the read image frames, a region dividing section that expands a division region starting from a point on the region boundary line and divides the inside and outside of the region boundary line with division lines, which connect points of brightness, an opening processing section that leaves a first division line between a pair of the region boundary lines and opens a second division line, a separating section that separates regions in the image frames in units of a region surrounded by the first division line, and a first depth-value giving section that gives, to the region surrounded by the first division line, a depth value representing a distance degree of the region.

Abstract: Detection of a document type of a document is provided. An application such as a document processing application analyzes a document to detect features of the document and pages of the document, based on an action selecting the document. The features include declarative and separative features. A type of the pages is detected based on the features. The type of the pages and values of the features of the document are aggregated to identify the document type of the document.

Abstract: Techniques are disclosed for performing flood-fill operations on vector artwork. In one embodiment, a region under a point of interest (POI) of vector artwork is rasterized and flood-filled, and an initial bounding shape around that area is used as a first guess as to the area to be filled. In other cases, the initial bounding shape is created around some initial area that includes the POI (no rasterization). In any such case, vector objects having bounding shapes that intersect the initial bounding shape are identified and fed into a planar map. After map planarization, a new bounding shape is created around a new area resulting from the planarizing and that includes the POI. In response to that bounding shape not extending beyond the initial bounding shape, a vector-based flood-fill operation can be performed on that new area. The process repeats if a new bounding shape extends beyond previous bounding shape.

Abstract: Disclosed herein are systems and methods for compressing structured or semi-structured data in a horizontal manner achieving compression ratios similar to vertical compression. Collections include structured or semi-structured data include a number of fields and are described using a schema. Fields include information having semantic similarity and are compressed using methods suitable for compressing the type of data. Data of a collection is compressed after fragmentation or may be normalized prior to compression. Data with semantic similarity is compressed using token tables and/or n-gram tables, where higher weighted, consisting of the product of frequency and length, occurring values may be stored in the lower numbered indices of the data table. Records include record descriptor bytes, field descriptor bytes, zero or more array descriptor bytes, zero or more object descriptor bytes, or bytes representing the data associated with the record. Data is indexed or compressed by a suitable module.

Abstract: An image display method and apparatus are disclosed. When a background image and a foreground image are displayed in an overlapping manner, the comprehensibility of the foreground image is enhanced by adjusting the brightness of the background image on the basis of the external illumination, of the brightness difference between the background image and the foreground image, or of the image complexity of the background or foreground images.

Abstract: Embodiments of the invention relate to detecting the number, position, and orientation of objects when a plurality of recognition target objects are present in a search target image. Dictionary image data is provided, including a recognition target pattern, a plurality of feature points of the recognition target pattern, and an offset (Ox, Oy) from the coordinates at the center of the image to the coordinates of the feature point. The sizes (Rt) and directions (?t) of feature vectors for the coordinates (Tx, Ty) of a plurality of feature points in the target image are also provided. The coordinates (Fx, Fy) of a virtual center point in the target image is derived. Additional virtual center points within a radius of the coordinates (Fx, Fy) is counted. Presence of a recognition target object is recognized near the virtual center point coordinates of the search target image.

Abstract: Embodiments of the present invention provide an image processing method and apparatus, where the method includes: determining a Gaussian mixture model of a first area in a first image, where the first area belongs to a background area of the first image, and the first image is a first frame of image in a video; determining a distance from a first pixel in a second image to the Gaussian mixture model; and when the distance from the first pixel to the Gaussian mixture model is less than or equal to a first preset threshold, determining that the first pixel belongs to a background area of the second image. In the embodiments of the present invention, an area to which a pixel belongs can be directly determined according to a distance from the pixel to a Gaussian mixture model, so that image foreground segmentation can be completed efficiently.

Abstract: Embodiments determine the species of trees present in an aerial image. Tree crowns are detected in a received image, and represented as histograms of their color, texture and entropy features. Similar trees are clustered together. Using classification techniques, each cluster is assigned the closest species. The species information for each tree may be used in a rendering of the tree in geographical information systems.

Abstract: Systems and Methods for efficient and reliable detection of error blocks in a video based on detecting one or more candidate blocks in a region of interest and then verifying the block error on the basis of the patterns formed inside the candidate block and its distinction from the surrounding blocks spatially and/or temporally.

Abstract: An image processing device includes a feature point detecting section which detects a feature point from an image and which includes a ternarizing section and a determining section. The ternarizing section sets each pixel of the image as a target pixel and inputs pixel values of the target pixel and surrounding pixels. The ternarizing section changes each of the pixel values of the surrounding pixels to one of three signal values which represent that brightness of a surrounding pixel is brighter or darker than or similar to brightness of the target pixel. When the number of consecutive surrounding pixels having the same signal value is equal to or greater than a threshold, the determining section determines the target pixel as the feature point.

Abstract: A method includes grouping media items associated with a user into segments based on a timestamp associated with each media item and a total number of media items. The method also includes selecting target media from the media items for each of the segments based on media attributes associated with the media item. The method also includes generating a video that includes the target media for each of the segments by generating a first animation that illustrates a first transition from a first item from the target media to a second item from the target media with movement of the first item from an onscreen location to an offscreen location, wherein the first item is adjacent to the second item in the first animation and determining whether the target media includes one or more additional items. The method also includes adding a song to the video.

Abstract: One or more computers receive input indicative of multiple files to be analyzed together, by performing one or more predetermined actions, using the contents (e.g. strings of text) of a corresponding one or more structures. The one or more structures are identified by the presence in each file, of corresponding names. The one or more structures are normally written into the files for use by an application program to layout the contents therein in a structured manner. The one or more computers are programmed to automatically parse each file, to identify therein the one or more layout structures e.g. based on the presence in each file of corresponding names of layout structures. After parsing, the one or more computer(s) perform the one or more predetermined actions, to obtain an output structure that holds the results based on the contents of each layout structure identified in each file.

Abstract: An image processing apparatus comprises a video input unit, a region division unit configured to divide an image acquired by the video input unit into a plurality of regions each including pixels of similar attributes, a feature extraction unit configured to extract a feature from each divided region, a background model storage unit configured to store a background model generated from a feature of a background in advance, and a feature comparison unit configured to compare the extracted feature with a feature in the background model and determine for each of the regions whether the region is the background.

Abstract: A data capture component of a mobile device receives information for an identification of a data field in a physical document. The data capture component receives a video stream comprising a plurality of frames, wherein each frame comprises a portion of the physical document. A frame is selected from the plurality of frames in the video stream. One or more text regions in the frame are identified. Each of the identified text region(s) in the frame is processed to identify data of each of the identified text region(s) and to select data of one of the identified text region(s) that corresponds to a set of attributes associated with the data field. The selected data is then compared with data of text regions of a subsequent frame. If the data of the text regions of the subsequent frame is a closer match to the set of attributes, the selected data is updated. A display field is then provided with the selected data for presentation in a user interface.

Abstract: A method of observing a three-dimensional image of an examinee's eye to be examined, includes: obtaining a first three-dimensional image which is a three-dimensional image of an anterior segment of the examinee's eye by optical coherence tomography for obtaining a tomographic image by converging a measurement light on the anterior segment of the examinee's eye; obtaining a second three-dimensional image which is a three-dimensional image of a fundus of the examinee's eye by optical coherence tomography for obtaining a tomographic image by converging the measurement light on the fundus of the examinee's eye by a timing different from a timing of obtaining the first three-dimensional image; constructing a three-dimensional eyeball image of the examinee's eye through image processing based on the obtained first and second three-dimensional images; and displaying the constructed three-dimensional eyeball image on a monitor.

Abstract: There is provided an information processing apparatus including an information acquiring unit that acquires information to identify an editing point of content including a voice, on the basis of language analysis of the content, and an information output unit that outputs the acquired information.

Abstract: A computer-aided diagnosis (CAD) apparatus and method. The CAD apparatus includes an area divider configured to divide a current image frame into a first area and a second area based on location of a region of interest (ROI) detected in a previous image frame. The CAD apparatus further includes a functional processor configured to perform different functions of the CAD apparatus for the first area and the second area.

Abstract: A form layout system includes a form layout tool that provides a flexible way to lay out forms on a web page. The form layout tool configures a web configuration file with the location of form layout styles, and uses the form layout styles, a number of columns, a number of fields, and a “size” of each field to include in the component of a page layout to create a page layout for a target application. The form layout tool generates a revised application page with the created page layout by applying the form layout style to the created page layout.

Abstract: The present invention provides a method and an apparatus for detecting a salient region of an image. Classification processing is obtained by means of pre-training, so as to obtain a classification label, where the classification label is used to indicate a salience detection algorithm for detecting a salient region of the test image. Salience detection is performed on the test image by using the salience detection algorithm indicated by the classification label, so as to obtain the salient region of the test image. Because a salience detection algorithm with the best detection effect is acquired by using the image feature vector of the test image, to detect the salient region of the test image, accuracy of salience detection is improved.

Abstract: A method for rib suppression in a volume chest x-ray image, executed at least in part by a computer captures a first set of unsegmented projection images, each at a corresponding angle, and forms a second set of segmented projection images by detecting rib features in a first projection image to form a first segmented projection image and generating a base model according to the detected rib features for the first projection image. Each of one or more additional projection images from the first set is processed to add members to the second set by a repeated sequence of generating a predictive model; detecting rib features using the predictive model; adjusting the base model according to detected rib features; and correcting rib detection in one or more members of the second set. The volume chest x-ray image is reconstructed according to the segmented projection images and is displayed.

Abstract: A wireless image transfer system includes an image quality judgement unit configured to judge reception states of a first image transmitted in a first frequency band by a first image wireless block and a second image transmitted in a second frequency band by a second image wireless block and image qualities of the received images; and a second control unit configured to sort the reception states into a good state, a bad state, and an intermediate state, select a first image signal in the good state, steadily operate the second image wireless block and periodically operate the first image wireless block in the bad state, and select an image with a better quality from the first image signal and a second image signal and output the selected image in the intermediate state.

Abstract: Provided is an image processing apparatus including an image information acquiring unit that acquires image information of an image, a position information acquiring unit that acquires position information of a containing region input by a user so as to contain a designated region that is a specific image region in the image, a first representative position setting unit that sets a first representative position that is a representative position of the designated region based on the position information of the containing region, a second representative position setting unit that sets a second representative position that is a representative position of a region-outside-designated-region that is a region outside the designated region, and a region detection unit that detects the designated region based on the first representative position and the second representative position.

Abstract: Systems and methods for presenting information associated with an application are disclosed. An application is executed at a computing device, wherein the application presents a visual output at a display unit of the computing device. A guest process is run within the application. The guest process stores and processes untrusted content. An embedder process is run within the application and in parallel with the guest process. The embedder process stores and processes trusted content. The application receives, via the guest process, a request to present an image associated with the untrusted content. The embedder process specifies size constraints for the image. The guest process adjusts the image to fit within the size constraints specified via the embedder process.

Abstract: A method and an apparatus for generating superpixels for a sequence of frames. A feature space of the sequence of frames is separated into a color subspace and a spatial subspace. A clustering is then performed in the spatial subspace on a frame basis. In the color subspace a clustering is performed on stacked frames. An erroneous temporal consistency of a superpixel associated to a frame is detected by performing a similarity check between a corresponding superpixel in one or more past frames and one or more future frames using two or more metrics. The affected superpixels is future frames are corrected accordingly.