Abstract: An information processing apparatus comprising a memory; a non-volatile memory; and a processor coupled to the memory and the non-volatile memory, the processor configured to: store a rectification history for a result of character recognition processing in association with items and item values; compare, for the respective items, a newly input result of the character recognition processing with the item values stored in the non-volatile memory; select a set of the item values stored in the non-volatile memory based on a result of the comparison; and correct the newly input result of the character recognition processing by using the selected set of the item values.

Abstract: An image segmentation system to perform operations that include causing display of an image within a graphical user interface of a client device, receive a set of user inputs that identify portions of a background and foreground of the image, identify a boundary of an object depicted within the image based on the set of user inputs, crop the object from the image based on the boundary, and generate a media item based on the cropped object, wherein properties of the media object, such as a size and a shape, are based on the boundary of the object.

Abstract: A method for automatic organ segmentation in CT images comprises in a first step, rough region segmentation; in a second step, coarse organ segmentation; and in a third step, refinement of organ segmentation. The organ may be a liver. Rough region segmentation may comprise applying standard anatomical knowledge to the CT images. Coarse segmentation may comprise identifying organ voxels using a probabilistic model. Refinement of organ segmentation may comprise refinement based on intensity, followed by refinement based on shape. Apparatuses configured to carry out the method are also disclosed.

Abstract: A method of updating background model for an image processing device is disclosed. The method includes receiving at least a background image, counting a number of occurrences of a color of each pixel of the background image according to a color information of each pixel of the at least a background image, to establish a background model including a statistical color information about the color and the number of occurrences of the color, receiving a current image, and determining whether to update the number of occurrences of the color in the background model corresponding to a color of each pixel of the current image according to a color information of each pixel of the current image and a result of comparing a random number with a threshold.

Abstract: In some aspects, the present disclosure provides a method for bandgap voting. In some configurations, the method includes receiving, at a hardware voting component associated with a destination subsystem, metadata for each of a plurality of compressed display tiles, wherein for each of the plurality of compressed display tiles the metadata indicates an amount of compression of the compressed display tile. In some configurations, the method includes dividing the plurality of compressed display tiles into a plurality of sets of compressed display tiles. In some configurations, for each of the plurality of sets of compressed display tiles, the method includes determining a desired bandwidth for communicating the set of compressed display tiles over a bus, and receiving the set of compressed display tiles at the destination subsystem over the bus at an actual bandwidth that is based on the desired bandwidth.

Abstract: A method includes receiving a recursively subdivided and reassembled first image comprising pixels, each pixel assigned a region label, subdividing the image into overlapping subsections, determining overlapping pixels surrounding seams along which the overlapping subsections are joined together, accumulating a histogram of co-occurrences of region label pairs of the overlapping pixels surrounding the seams along which the overlapping subsections are joined together, merging overlapping pixels having region labels with a co-occurrence histogram count exceeding a predetermined threshold, and merging spatially and non-spatially adjacent regions of the first image to form a second image with reduced artifacts proximate the seams along which the overlapping subsections are joined together.

Abstract: An information processing system includes circuitry that inputs an image, and determines whether the image deviates from at least one desired image capture condition. The circuitry identifies a deviation amount of the image relative to the at least one desired image capture condition, and generates a deformed image in which a deviation from the at least one desired image capture condition is increased by a predetermined amount over the deviation amount identified.

Abstract: A method of classifying an image is disclosed. The method comprises: applying a computer vision procedure to the image to detect therein candidate image regions suspected as being occupied by a target; presenting to an observer each candidate image region as a visual stimulus, while collecting neurophysiological signals from a brain of the observer; processing the neurophysiological signals to identify a neurophysiological event indicative of a detection of the target by the observer; and determining an existence of the target in the image is based, at least in part, on the identification of the neurophysiological event.

Abstract: A correlithm object processing system uses one or more mobile correlithm object devices to emulate the functionality of one or more of sensors, nodes, and actors. The mobile correlithm object devices may be deployed to different parts of a system or network to perform particular tasks. The mobile correlithm object devices may periodically communicate with one another or with other elements of the correlithm object processing system.

Abstract: A device configured to emulate a correlithm object system includes a memory that stores a node table. The node table identifies a plurality of source correlithm objects and a corresponding plurality of target correlithm objects. A node receives a first input correlithm object associated with a first timestamp, computes distances between the first input correlithm object and each of the source correlithm objects in the node table, and identifies a first source correlithm object from the node table with the shortest distance. The node identifies a first target correlithm object from the node table linked with the identified first source correlithm object, and outputs the first target correlithm object. The memory stores a node output table that identifies the first target correlithm object associated with the first source correlithm object, the first timestamp, and the computed distance between the first input correlithm object and the first source correlithm object.

Abstract: An information processing apparatus includes a storage unit that previously stores a classification rule corresponding to an attribute of an applicant, an acquisition unit that acquires content of an electronic document from an image of the document, and a setting unit that reads the classification rule corresponding to the attribute of the applicant of the document from the storage unit, and sets a classification item of the document based on the content of the document, which is acquired by the acquisition unit, and the classification rule which is read from the storage unit.

Abstract: A system and method for image processing are provided. A pre-processed image may be obtained. The pre-processed image may be decomposed into a low-frequency image and a high-frequency image. At least one grayscale transformation range may be determined based on the low-frequency image. At least one grayscale transformation parameter may be determined based on the at least one grayscale transformation range. The low-frequency image may be transformed based on the at least one grayscale transformation parameter to obtain a transformed low-frequency image. A transformed image may be generated by reconstructing the transformed low-frequency image and the high-frequency image.

Abstract: Systems and methods for classifying historical images. A feature extractor may create feature vectors corresponding to a plurality of images. A first classification of the plurality of images may be performed based on the plurality of feature vectors, which may include assigning a label to each of the plurality of images and assigning a probability for each of the assigned labels. The assigned probability for each of the assigned labels may be related to a statistical confidence that a particular assigned label is correctly assigned to a particular image. A subset of the plurality of images may be displayed to a display device. An input corresponding to replacement of an incorrect label with a corrected label for a certain image may be received from a user. A second classification of the plurality of images based on the input from the user may be performed.

Abstract: The present technology relates to an image processing apparatus and method and an endoscopic system that permit reduction of uneven illumination distribution. An image processing apparatus includes a signal processing section that corrects uneven illumination of an image shot with a subject within a body of a patient to be operated on illuminated by a light source. The light source is arranged within the patient's body. The signal processing section corrects uneven illumination on the basis of a normally illuminated image and a low illuminated image. The normally illuminated image is shot with the subject within the body illuminated at a given illumination intensity. The low illuminated image is shot with the subject illuminated at a lower illumination intensity than the given illumination intensity.

Abstract: A determination device generates, based on a first captured image captured by a first image capturing device mounted on a moving object, a shape of a subject (one of subjects) included in the first captured image. The determination device estimates the location of the shape of the subject after specific time based on the location of the shape of the subject and a moving speed. The determination device extracts the shape of the subject from a second captured image captured by a second image capturing device mounted on the moving object; compares the location of the shape of the subject extracted from the second captured image with the location of the shape of the subject estimated from the first captured image; and performs determination related to a moving state of the subject.

Abstract: A method for structured text detection includes: receiving, by a convolutional neural network, a to-be-detected image and at least one character region template, the to-be-detected image includes structured text, the at least one character region template includes locations of N first character regions with N being an integer equal to or greater than 1, and the location of each first character region is obtained based on locations of second character regions corresponding to the each first character region in M sample images that are of the same type as the to-be-detected image, where M is an integer equal to or greater than 1; and obtaining, by the convolutional neural network, an actual location of the structured text in the to-be-detected image according to the at least one character region template. A system for structured detection and a non-transitory computer-readable medium are also provided.

Abstract: A method includes receiving a plurality of images from an imaging device carried by a movable object. The method further includes determining whether an environment type of the movable object is a first type or a second type according to sensing data received from one or more sensors of the movable object, identifying a target based on the plurality of images using a first method in response to determining that the environment type is the first type and using a second method different from the first method in response to determining that the environment type is the second type, and determining state information of the movable object or the target based on the plurality of images.

Abstract: There is provided an information processing apparatus including an image acquisition unit configured to acquire a captured image of users, a determination unit configured to determine an operator from among the users included in the acquired captured image, and a processing unit configured to conduct a process based on information about user line of sight corresponding to the determined operator.

Abstract: A terahertz security check method and system may include: a terahertz scanning device collecting a terahertz original image of a human body under test, and sending the same to a central server that identifies the terahertz original image, and determines whether the human body under test carries an article. If so, the image is marked with the position of the article and sent to a monitoring terminal. The monitoring terminal correspondingly marking the position of the article on a pre-stored human body cartoon image, and displaying the terahertz original images before and after marking to monitoring personnel, so that the monitoring personnel determine whether the central server has an identification error; and if so, the monitoring terminal changing a marker on the human body cartoon image, and sending the changed cartoon image to a client of security check personnel for displaying.

Abstract: Acquiring a current image from an inputted video and a background model which comprises a background image and foreground/background classification information of visual elements; classifying the visual elements in the current image as foreground or background; determining similarity measures between the current image and groups in the background model, wherein visual elements in the current image are the visual elements in the current image which are classified as the foreground, wherein visual elements in the groups in the background model are the visual elements whose classification information is the foreground, and wherein the visual elements in the groups in the background model are the visual elements which neighbour to corresponding portions of the visual elements in the groups in the current image; and identifying whether the visual elements in the current image which are classified as the foreground are falsely classified or not according to the determined similarity measures.

Abstract: An exemplary method includes initiating a conversation with a user for resolving ambiguity among a group of labels corresponding to an object in an image, wherein each label is associated with a confidence value; iteratively performing, when each of the confidence values is below a first threshold value, or two or more of the confidence values are above the first threshold value: using a wordweb to identify properties that distinguish between a first one of the labels and a second one of the labels, ranking the identified one or more properties; selecting the property having the highest rank to generate a question, and filtering at least one of the first label and the second label based on user input received in response to the question; and when only one of the confidence values exceeds the first threshold value, classifying the object using the label corresponding to the one confidence value.

Abstract: A method, system, and article is directed to generating multi-exposure camera statistics for image processing by rearranging and sampling image data of multiple exposure images.

Abstract: A system and method includes receiving content of an electronic document having a document type, the content divided into components each having a unique identifier and selecting an extraction schema based on the document type, the extraction schema having a plurality of data categories. For each of the components, the extraction schema is applied to identify content of the component that corresponds to individual ones of the data categories and saving, with the processor, in an electronic data storage, in a record associated with the component, category metadata indicative of content of the component corresponding to the data categories. In response to obtaining the category metadata for each of the components, applying the extraction schema to the content metadata of each of the components and to the electronic document as a whole to determine document metadata. A user interface displays the document metadata on the user interface.

Abstract: A system and technique for capturing a workflow history and video of an electronic document are disclosed. Events generated by an application while modifying an electronic document are stored on a web server as metadata. In addition, a captured digital image or frames of captured digital video that reflect the state of the document at the time the event was generated are also stored on the web server. The metadata is associated with one or more portions of the document and with the captured digital image or frames of captured digital video.

Abstract: A system (100) for segmenting a coronary artery vessel tree (182) of a patient heart in a three dimensional (3D) cardiac image (120) includes a coronary volume definition unit (150) and a coronary artery segmentation unit (180). The coronary volume definition unit (150) sets a spatial boundary (210, 220) from internal and external surfaces of heart tissues in the 3D cardiac image based on a fitted heart model (200). The coronary artery segmentation unit (180) segments the coronary artery vessel tree (182) in the 3D cardiac image using a segmentation algorithm with a search space limited by the spatial boundary set from the internal and external surfaces of the heart tissues.

Abstract: A method for evaluating the quality of a component produced by means of an additive laser sintering and/or laser melting method, in particular a component for an aircraft engine, includes at least the steps of providing a first data set, which comprises spatially resolved color values, which each characterize the temperature of the component at an associated component location during the laser sintering and/or laser melting of the component, providing a second data set, which comprises spatially resolved color values corresponding to the first data set, which color values each characterize the temperature of a reference component at an associated reference component location during the laser sintering and/or laser melting of the reference component.

Abstract: Key/Value pairs, each comprising a keyword string and an associated value, are extracted automatically from a document image. Each document image has a plurality of pixels with each pixel having a plurality of bits. A first subset of the plurality of bits for each pixel represents information corresponding to the document image. The document image is processed to add information to a second subset of the plurality of bits for each pixel. The information added to the second subset alters the appearance of the document image in a manner that facilitates semantic recognition of textually encoded segments within the document image by a Deep Neural Network (DNN) trained to recognize images within image documents. The DNN detects groupings of text segments within detected spatial templates within the document image. The text segments are mapped to known string values to generate the keyword strings and associated values.

Abstract: The invention relates to a method and technical equipment, wherein the method comprises obtaining a picture sequence; selecting a first spatial region and a second spatial region within a picture area of pictures of the picture sequence, the second spatial region differing from the first spatial region; obtaining a first spatial region sequence, the first spatial region sequence comprising the first spatial region of the pictures of the picture sequence; obtaining a second spatial region sequence, the second spatial region sequence comprising the second spatial region of the pictures of the picture sequence; transmitting the first spatial region sequence at a first picture rate; and transmitting the second spatial region sequence at a second picture rate, the first picture rate being different from the second picture rate.

Abstract: A photographing preview composition guiding method includes obtaining a first image in a photographing preview mode of a photographing device, determining a target photographing object in the first image, obtaining a second image, where the second image includes the target photographing object, and the second image and the first image correspond to different angles of view, constructing a third image based on the first image and the second image, and displaying a composition prompt of the third image in a photographing preview interface.

Abstract: A human hairstyle generation method based on multi-feature retrieval and deformation includes: acquiring a hair style mask; identifying feature points of a human face and match the feature points with a hair style database; aligning an image with a standard human face to acquire a corresponding hair region; calculating Minkowski distances between the hair region and hair masks of all frontal faces in the hair style database; assigning corresponding weights after sorting the Minkowski distances from small to large; training a deep learning network to detect hair styles of hair basic blocks at different scales; and taking out a most similar hair style picture. The present invention utilizes a single frontal photo of the human face, and retrieves a three-dimensional hair model most similar to the photo by retrieving a database in a mass three-dimensional hair style database, to avoid manual modeling, thereby improving efficiency and ensures high fidelity.

Abstract: A method for automatically extracting a tectonic framework of a potential field includes preprocessing gravity potential field data and/or magnetic potential field data from an area to be researched; performing multi-scale and multi-direction edge detection on the preprocessed gravity potential field data and/or magnetic potential field data, and obtaining edges of all scales separately; thinning the calculated edge of each scale into a single pixel width by means of a morphological skeleton algorithm, each point having depth and strength attributes; and obtaining a comprehensive tectonic framework graph and a comprehensive tectonic strength framework graph. A geological structure formed by a control deposit can be identified and qualitatively interpreted, a potential deposit type and attributes of the structure are determined according to prior knowledge of an area to be researched, and different types of tectonic frameworks are screened, thereby achieving target area localization of a metal deposit.

Abstract: A precision agriculture prescription system which provides precision agriculture prescriptions, by estimating fertilizer application rates and providing a prescription for spatial distribution of the selected product over a given field(s) with a goal of achieving an efficient use of budgeted fertilizer product(s). The system utilizes historical and forecast weather data, as well as remote sensing satellite imagery to maximize the grower's budgeted fertilizer products over his/her fields. This is done by assessing the normalized difference vegetation index (NDVI) from 1-to-many satellite images of the given field(s). The system also leverages regional historical weather data to correlate prior seasons' growth patterns and climate effects, and regional weather forecast data to incorporate predictive climate impacts.

Abstract: A method for creating a fragmented recording of events on a screen of a computer may receiving a start recording request to record screen events. The screen events may be captured and stored into video fragment files in a queue in a storage using video fragment settings. The video fragment files in the queue may be sent over a communication network to a server. The video fragment settings may be dynamically changed upon detecting a backlog in the queue of the video fragment files. In response to receiving a stop recording request from the server, a notification may be sent to the server that all of video fragment files in the queue were relayed to the server over the communication network for the server to merge the video fragment files into a single video recording file.

Abstract: In a system and method for searching, browsing, and visualizing items, a first image containing an item is received to be stored in an account associated with a user. The first image is processed using a processor to extract an image of the item from the first image. The image of the item is layered over a stream of video frames received from the client device to form a superimposed image. The superimposed image is caused to be displayed on the client device.

Abstract: A system and method for constructing virtual radial ultrasound images from CT data includes receiving CT data, calculating a gradient of the CT data, and obtaining 2D slices by interpolation in 3D. The method further includes calculating transmission and reflection values on each radial line away from a center of each 2D slice to create a lesion image, converting the lesion image to polar, generating random noise in the polar image, and adding random comet tails to the polar image. A background image is created by computing the mean profile along the radius from a series of polar lesion images. The background image is merged with the polar lesion image and random noise is generated in the background of the merged image. Density variations are simulated in the merged image and coordinates of the merged image are transformed to Cartesian to construct a virtual radial ultrasound image.

Abstract: A method for processing a stream of video images to search for information therein, in particular detect predefined objects and/or a motion, comprising the steps of: a) supplying at least one attention map in at least one space of the positions and of the scales of at least one image of the video stream, b) selecting, in this space, points to be analyzed by making the selection depend at least on the values of the coefficients of the attention map at these points, at least some of the points to be analyzed being selected by random draw with a probability of selection in the draw at a point depending on the value of the attention map at that point, a bias being introduced into the map to give a non-zero probability of selection at any point, c) analyzing the selected points to search therein for said information, d) updating the attention map at least for the processing of the subsequent image, from at least the result of the analysis performed in c), e) reiterating the steps a) to d) for each new image of

Abstract: In an example, a digital image comprising a representation of multiple physical objects is received at a client computer. The digital image is copied into a temporary canvas. The digital image is then analyzed to identify a plurality of potential object areas, each of the potential object areas having pixels with colors similar to the other pixels within the potential object area. A minimum bounding region for each of the identified potential object areas is identified, the minimum bounding region being a smallest region of a particular shape that bounds the corresponding potential object area. The pixels within a selected minimum bounding region are cropped from the digital image. The pixels within the selected minimum bounding region are then sent to an object recognition service on a server to identify an object represented by the pixels within the selected minimum bounding region.

Abstract: A detection device adds, with regard to each of a plurality of sets of time-series data including a plurality of items, a time-shift term to at least any of the plurality of items included in each of the plurality of sets of time-series data. The detection device generates a plurality of attractors from the plurality of sets of time-series data to which the time-shift term has been added. The detection device generates a plurality of Betti sequences from each of the plurality of attractors by executing a persistent homology transformation on each of the plurality of attractors, each of the plurality of Betti sequences indicating a correspondence relationship between a Betti number and a scale value has been used for the persistent homology transformation. The detection device detects a state change in the plurality of sets of time-series data based on a time change in the plurality of Betti sequences.

Abstract: An image processing apparatus specifies, in a foreground region which includes a foreground object in an input image obtained by image capturing, a first region including a predetermined target object, and outputs an output image generated by abstracting the first region without abstracting at least a part of a second region which does not include the predetermined object in the foreground region.

Abstract: The present invention embodiments are directed to methods, systems, and computer programs for identifying relations, within at least one taxonomy, between taxonomy categories and concepts extracted from electronic content. The relations represent semantic similarities for the concepts. The concepts are clustered based on the identified relations within the at least one taxonomy.

Abstract: The present invention embodiments are directed to methods, systems, and computer programs for identifying relations, within at least one taxonomy, between taxonomy categories and concepts extracted from electronic content. The relations represent semantic similarities for the concepts. The concepts are clustered based on the identified relations within the at least one taxonomy.

Abstract: Multimedia content processing in a computing device includes providing a first multimedia content to be displayed in a first region of a display device; establishing a second region on the display device where a second multimedia content is to be displayed; loading an electronic document on the display device causing the first multimedia content to be displayed in first region on the display device; copying the first multimedia content displayed in the first region by creating the second multimedia content from the first region; analyzing raster data associated with the first multimedia content to store image data from a snapshot of the first multimedia content; storing raster data associated with each pixel of the first multimedia content in a local storage of the computing device; creating a duplicate version of the first multimedia content based on stored image pixel data; and displaying the second multimedia content in the second region.

Abstract: Systems and methods for sending an electronic message including digital ink. One system includes at least one electronic processor. The at least one electronic processor is configured to receive the digital ink for inclusion in the electronic message, determine positional information for the digital ink, the positional information representing a position of the digital ink within the electronic message relative to a position of at least one additional object within the electronic message, and send the digital ink and the positional information as part of the electronic message.

Abstract: The invention relates generally to systems and methods for protecting patient privacy when health care information is shared between various entities and, in particular, to systems and methods that implement a multi-stage sanitizing routine for de-identifying patient data from medical reports and diagnostic images to ensure patient privacy, while preserving the ability for sanitized medical reports and diagnostic images to be re-identified.

Abstract: The disclosed computer-implemented method may include (1) receiving, from a video streaming service, a screen capture of a video playback session including one or more static visual elements and a video playing in the video playback session, (2) detecting a window within the screen capture containing the video playing in the video playback session, (3) selecting the window containing the video by excluding the static visual elements in the video playback session, (4) determining a blurriness score associated with a potential degradation in quality of the video playing in the selected window, and (5) providing the blurriness score for analysis. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A system for capturing, using a digital camera, a plurality of Scrum board notes, determining if those notes have changed in position or content, and importing those changes into a collaboration and project management system for storage.

Abstract: A computing device includes a memory and a touch screen including a display for displaying a representation of data stored in the memory and a surface for detecting an indication of a location in the memory. In response to detecting the indication, the computing device is configured to automatically define a region on the surface, and automatically identify the location based on: a portion of at least one text character or graphic object as represented on the display proximate or at a user selected position being within the region, and the location being capable of being one of one or more locations in the memory at which to apply an indicated command to the at least one text character or graphic object. The region is defined to encompass allowed variation between the selected position and the portion to compensate for human error.

Abstract: This disclosure provides an exemplary method and system for extracting structured data from an unstructured textual document. According to an exemplary method, initially a layout analysis is performed resulting in one or more alternatives for grouping and ordering the page elements of interest. Next, the content of these page elements are tagged based on application-specific heuristics. Finally, a sequence-based method is applied to the tags for identifying repetitive contiguous patterns.

Abstract: The most active part of a video frame is magnified on a display to accommodate people with eye maladies such as macular degeneration. An area of interest in a video frame is identified, and that area is expanded or magnified to the periphery of the display, where people suffering from macular degeneration can best see. Assuming the viewer sits a benchmark distance from the display, the active part of the image is expanded to fit in what can be seen in the periphery of the display without moving the head left to right and up and down. This may be done by the display recognizing where most of the action is taking place by means of with motion vectors and I-macroblocks, or by allowing the viewer to switch to various predetermined blocks on screen using a remote control.

Abstract: A method for deconvolution of digital images includes obtaining a degraded image from a digital sensor, a processor accepting output from the digital sensor and recognizing a distorted element within the image. The distorted element is compared with a true shape of the element to produce a degrading function. The degrading function is deconvolved from at least a portion of the image to improve image quality of the image. A method of indirectly decoding a barcode includes obtaining an image of a barcode using an optical sensor in a mobile computing device, the image comprising barcode marks and a textual character. The textual character is optically recognized and an image degrading characteristic is identified from the textual character. Compensating for the image degrading characteristic renders previously undecodable barcode marks decodable. A system for deconvolution of digital images is also included.