Abstract: According to an image forming apparatus of one embodiment, a business-type-based word database classifies and stores words for each business type. A business-type-based template database stores business-type-based templates in which plural icons to respectively invoke plural functions previously set for each business type are grouped. A word extraction unit extracts a word by analyzing character information included in print data. A coincidence number count unit compares the extracted word with the words stored in the business-type-based word database, and counts a coincidence number in a comparison result for each business type. A business type determination unit determines a business type of a user transmitting the print data based on the coincidence number. A template acquisition unit acquires a template relating to the determined business type of the user from the business-type-based template database. A display unit displays the acquired template on a screen.

Abstract: An image processing apparatus is capable of appropriately extracting a frame of an output target from a moving image. The image processing apparatus includes an analysis unit configured to analyze a plurality of analysis regions in each of a plurality of frames included in the moving image, an extraction unit configured to extract the frame of the output target from among the plurality of frames by comparing analysis results of the plurality of analysis regions in each of the plurality of frames analyzed by the analysis unit for each analysis regions corresponding to each other between the plurality of frames, and an output unit configured to output the frame of the output target extracted by the extraction unit.

Abstract: A method for determining an irradiation plan includes specifying a target volume to be irradiated and a condition to be fulfilled, and implementing a first optimization. Implementing the first optimization includes providing a first data record, in which the target volume is mapped, and determining a first parameter set for the irradiation planning by implementing a first optimization algorithm. The first parameter set is optimized with respect to the condition to be fulfilled by using the first data record. The method also includes implementing a second optimization that includes providing a second data record that has a higher resolution than the first data record, determining a second parameter set by implementing a second optimization algorithm. The second parameter set is optimized with respect to the condition to be fulfilled by using the second data record and using the first parameter set. The method also includes generating an irradiation planning data record from the second parameter set.

Abstract: A method and system for predicting neurological disorders is provided. The method comprises receiving videos of individuals and detecting Regions of Interest (ROI) in video frames. The method further comprises determining a Motion Vector (MV) for each ROI in a set of successive frames and comparing value of the determined MV with pre-stored values. Furthermore, the method comprises identifying a MV matching a pre-stored value thereby identifying a ROI and a frame corresponding to the identified MV, wherein the pre-stored value indicates onset of an expression. Also, the method comprises determining MVs for the identified ROI in subsequent sets of successive frames and comparing value of the determined MVs with a pre-stored value of MV corresponding to peak and offset of the indicated expression. The method further comprises identifying the frame corresponding to the peak and offset of the indicated expression and generating pictorial representation for predicting neurological disorders.

Abstract: An example method includes receiving a plurality of templates of a plurality of objects, where a template comprises feature values sampled at corresponding points of a two-dimensional grid of points positioned over a particular view of an object and scaled based on a depth of the object at the particular view. The method may further include receiving an image of an environment and determining a matrix representative of the image, where a row of the matrix comprises feature values sampled at a particular point of the two-dimensional grid positioned over one or more locations within the image and scaled based on depths of the one or more locations. The method may additionally include determining at least one similarity vector corresponding to at least one template and using the at least one similarity vector to identify at least one matching template for at least one object located within the image.

Abstract: In a focus detection apparatus having a plurality of filters suitable for processing of signals having different frequencies, a setting unit sets a thinning rate in a main-scanning direction of an image sensor depending on a filter to be used, a control unit controls to read image signals sequentially with the set thinning rate and store the read image signals in a storage unit, a processing unit processes the stored image signals with the filter and obtains a focus state evaluation value in a sub-scanning direction of the image sensor and a focus control unit performs the focus control processing based on the focus state evaluation value. If the filter to be used is for a second frequency that is higher than a first frequency, the setting unit sets a lower thinning rate than that for a filter for the first frequency.

Abstract: A computer implemented method of presenting visual content items, comprising: grouping the visual content items according to predefined similarity rules relating to visual characteristics of the visual content items such that each group has a range for the number of its members; selecting a representative visual content item for each group; presenting the representative visual content item of each group that has a minimal number of members above a predefined threshold; and optionally presenting the visual content items alongside the representative visual content items. The grouping may be carried out by using predefined color groups; by using predefined shape groups; or using Keypoints of the visual content items, and relate to groups of human faces, product images and landscape images.

Abstract: In a method of analysis, a target image is registered to define a plurality of keypoints arranged in sets corresponding to polygons or linear segments in the target image. A database of registered and annotated images is accessed and a polygon-wise comparison between the target image and each database image is employed. The comparison is used for projecting annotated locations from the database images into the target image.

Abstract: A method for controlling a visual light source, a terminal, and a video conference system are provided that relate to the field of communications technologies. The method for controlling a visual light source includes: when a first terminal and a second terminal are in a video conference state, receiving, by the first terminal, control information sent by the second terminal; controlling, by the first terminal according to the control information, a first visual light source on a local rotatable platform to rotate, so that a target indicated by the first visual light source is consistent with a target displayed by a display corresponding to the second terminal. Embodiments of the present invention improve user experience of participants in a video conference.

Abstract: Financial transaction card data can be entered by providing a picture of the card to a server programmed with a text recognition algorithm. The server can perform text recognition on the image at the same time that a consumer enters additional required data, such as a zip code. The server can perform as much text recognition processing as possible in the time the consumer is entering the additional data. Once the additional data is received, a signal can be provided to the server indicating that the user is now waiting for results of the text recognition process, meaning the server should provide them as quickly as possible. Once text recognition results are received, a consumer can make a selection to identify a character which the text recognition algorithm did not sufficiently identify. Based on known account number constraints, the user selection can cause multiple characters to be identified.

Abstract: An apparatus comprises a determination unit configured to determine, based on a region that satisfies a predetermined condition in an image as a candidate of an output target, whether to set the region as the output target; and a decision unit configured to, in a case where a plurality of regions that satisfy the predetermined condition exists in the image, decide a portion of the image including one or a plurality of regions determined, out of the plurality of regions, as the output target by said determination unit as a portion of the output target.

Abstract: A device, system, and method for enhanced memorization of a document. A document may be initially uploaded into a computer system and the textual information of the document may be converted into a test template for memorization and/or testing. Portions of the test template may be converted into various test items, and the test items, in combination with the contents of the scanned document, may be displayed by the computer system for a user to answer in order to enhance his or her memorization of the document. The test questions may comprise: fill-in-the-blank questions, multiple choice questions, true or false questions, Scrabble®-like questions, and/or a combination thereof.

Abstract: In a method of operating a depth pixel included in a three-dimensional (3D) image sensor, a plurality of sampling values are obtained by sampling a reception light reflected by an object based on a transfer control signal having a first initial activation level. The depth pixel includes a photo detection region, a transfer gate and a floating diffusion region. The transfer control signal is applied to the transfer gate. A first final activation level of the transfer control signal is determined based on the plurality of sampling values and at least one reference value. A distance between the depth pixel and the object is calculated based on the reception light and the transfer control signal having the first final activation level.

Abstract: An onboard display device includes multiple screen data that define plural types of screen designs including a character string display frame with equal size; plural types of font data; and multiple character string tables which record character strings to be displayed on a screen with one of the screen designs defined by the plural types of screen data, are each provided for one of the plural types of font data, and include character strings whose written forms are altered according to character size defined by the font data so that the character strings can be contained in the display frame, wherein the decision unit 12 decides a display type to be used for screen display on a display unit, and the display unit 6 displays the screen using the screen data, font data and character string corresponding to the display type decided by the decision unit 12.

Abstract: Various embodiments of methods and apparatus for feature point localization are disclosed. A profile model and a shape model may be applied to an object in an image to determine locations of feature points for each object component. Input may be received to move one of the feature points to a fixed location. Other ones of the feature points may be automatically adjusted to different locations based on the moved feature point.

Abstract: Systems and methods convert to binary an input image having pixels defining text and background. Thresholds are determined by which pixels in the input image and a corresponding blurred image will be defined as either binary black or binary white. Thresholds derive from grouped together neighboring pixels having pixels separated out that correspond to the background. For pixels of the input image defined as binary black and having corresponding pixels in the blurred image defined as binary black relative to their thresholds, those are set to black in the binary image, else they are set white. Techniques for devising thresholds, blurring images, grouping together pixels, statistical analysis, etc., typify the embodiments.

Abstract: Intensity standardization of MRI data sets aims at correcting scanner-dependent intensity variations. An automatic technique, called STI, which shares the simplicity and robustness of histogram-matching techniques, but also incorporates tissue spatial intensity information, has been discovered. The method comprises registering a medical image to a standard image; applying one or more masks to the medical and standard images for isolating certain specific image components; determining the most common intensity data pair between the medical and standard images for each isolated image component; calculating a formula that joins the most common intensity data pair of each image component; and interpolating an intensity data adjustment using the formula and applying it to the medical image data to generate a standardized version of the medical image.

Abstract: There is provided an image positioning method including the steps of: capturing an image frame with an image sensor; identifying at least on object image in the image frame; comparing an object image size of the object image with a size threshold and identifying the object image having the object image size larger than the size threshold as a reference point image; and positioning the reference point image. There is further provided an interactive imaging system.

Abstract: The image signature extraction device includes an extraction unit and a generation unit. The extraction unit extracts region features from respective sub-regions in an image in accordance with a plurality of pairs of sub-regions in the image, the pairs of sub-regions including at least one pair of sub-regions in which both a combination of shapes of two sub-regions of the pair and a relative position between the two sub-regions of the pair differ from those of at least one of other pairs of sub-regions. The generation unit generates, based on the extracted region features of the respective sub-regions, an image signature to be used for identifying the image.

Abstract: This invention provides an instantaneous method for a user or traveler to obtain a meaning of a symbol that is unfamiliar to said user. The symbol is captured in a format that is easily transmitted to a remote database server. Together with the symbol, the GPS coordinates of the location of the symbol must be sent to the server. The server performs an image matching search, and then uses the location information (GPS) to resolve multiple matches and to determine the meaning of the symbol and instantaneously transmits in the language of their choice the meaning to the user requesting the search.

Abstract: An image forming apparatus includes a specific graphic form storage section, an image determination section, and determination color conversion processing section. The specific graphic form storage section is configured to store a visual image of a specific graphic form and attribute information specific to the specific graphic form as a reference image and reference attribute information, respectively. The image determination section is configured to determine at least one of (i) whether or not an image matching with the reference image is included in target data and (ii) whether or not an image having the reference attribute information is included in the target data, and detect the image identified through the determination as an image corresponding to the specific graphic form. The color conversion processing section is configured to perform specific color conversion processing for the image corresponding to the specific graphic form.

Abstract: An approach for determining transducer functions for mapping objective image attribute values to estimated subjective attribute values. The approach includes determining objective attribute values for each of one or more aesthetic attributes for each image in a first set of images. The approach further includes determining, for each aesthetic attribute, a mapping from the objective attribute values to respective estimated subjective attribute values based on the objective attribute values and corresponding experimentally-determined attribute values. Using the determined mappings, aesthetic signatures, which include estimates of subjective image aesthetics across multiple dimensions, may be generated.

Abstract: An active set of discrete texture traces to a target point is determined in a first video frame and is applied to a second video frame to detect the target location in a second video frame. An estimate is made of the target location in the second video frame. A score map is computed of an area of locations. A location with a highest score in the score map is the new target location. If a threshold value is not met the active set of texture traces is stored. A score map for each of stored active sets is computed to determine the target location. If no score meets the threshold the target location in a previous video frame is made the current target location and a new active set of discrete texture traces is determined. Systems that implement the steps of the methods are also provided.

Abstract: A system that incorporates teachings of the present disclosure may include, for example, sampling a variable effect distribution of viewing preference data to determine a first set of effects comprising a plurality of first distortion type effects associated with a first distortion type of a first image and to determine a second set of effects comprising a plurality of second distortion type effects associated with the second distortion type of a second image, calculating a preference estimate from a logistic regression model of the viewing preference data according to the first set of effects and the second set of effects, wherein the preference estimate comprises a probability that the first image is preferred over the second image, and selecting one of the first distortion type or the second distortion type according to the preference estimate. Other embodiments are disclosed.

Abstract: A method of verifying the authenticity of an eye provided for identification purposes in an iris recognition identification system is described. The method comprises: illuminating the eye using an illumination source to generate a specular reflection in a pupil and/or iris region of the eye, the specular reflection forming as a result of light emitted from the illumination source being reflected from the eye; capturing an image of the eye including the specular reflection; determining the position of the specular reflection formed in the pupil and/or iris region, from the captured image; and verifying the authenticity of the eye by comparing the determined position with an expected position for an authentic eye.

Abstract: A system including an image capturing unit configured to capture an image of at least one medical device monitoring a patient, a database including images of a plurality of medical devices, where each image corresponds to a particular medical device, and a data collection server configured to receive the at least one image, receive patient identification data corresponding to the patient, and identify the medical device in the image by comparing the received image with the images stored in the database and matching the received image with the images stored in the database.

Abstract: According to an embodiment, a recognition device includes a generation unit to select, plural times, groups each including learning samples from a storage unit, learn a classification metric for classifying the groups selected in each selection, and generate an evaluation metric including the classification metrics; a transformation unit to transform a first feature value of an image including an object into a second feature value using the evaluation metric; a calculation unit to calculate similarities of the object to categories in a table using the second feature value and reference feature values; and a registration unit to register the second feature value as the reference feature value in the table associated with the category of the object and register the first feature value as the learning sample belonging to the category of the object in the storage unit. The generation unit performs the generation again.

Abstract: A method for automated document recognition, identification, and data extraction is described herein. The method comprises receiving, by the processor, an image of a document associated with a user. The image is analyzed using optical character recognition to obtain image data, wherein the image data includes text zones. Based on the image data, the image is compared to one or more document templates. Based on the comparison, a document template having the highest degree of coincidence with the image is determined. The text zones of the image are associated with text zones of the document template to determine a type of data in each text zone. The data is structured into a standard format to obtain structured data.

Abstract: There is provided an image processing system for performing image processing on input image. The image processing system includes an input data determination unit configured to determine a device that has input image data that is input, an image processing unit configured to selectively perform image processing on the input image data based on the determination result by the input data determination unit, an image classification unit configured to classify input image data, and a redirect URL determination unit configured to determine a URL at the time of the next access by a user in accordance with the result of classification by the image classification unit. The image data on which the selective image processing is performed is subjected to processing in accordance with instructions from a display screen of the URL destination and the result of the processing is saved.

Abstract: A method for automated document recognition, identification, and data extraction is described herein. The method comprises receiving, by the processor, an image of a document associated with a user. The image is analyzed using optical character recognition to obtain image data, wherein the image data includes text zones. Based on the image data, the image is compared to one or more document templates. Based on the comparison, a document template having the highest degree of coincidence with the image is determined. The text zones of the image are associated with text zones of the document template to determine a type of data in each text zone. The data is structured into a standard format to obtain structured data.

Abstract: A production unit of an image processing apparatus produces a contour signal of an image including a specific subject. A detection unit detects, on the basis of the contour signal, a representative contour direction for each of a plurality of division regions of the image, where the detection unit detects a specific direction as the representative contour direction when the direction of the entire contour portion included in the division regions is biased in the specific direction by at least a specific degree. A determination unit determines a type of the subject on the basis of at least one of a direction-based frequency distribution of the detected representative contour directions, a number of representative contour directions detected, etc. A correction unit configured to correct the image data according to a correction method corresponding to the type of the subject.

Abstract: The present disclosure provides an example method, server, or system of setting a background image. The server includes a receiving module, an inquiring module, and a sending module. The receiving module receives image characteristic information sent by a client device. The inquiring module searches a background image that matches the image characteristic information from a preset background image database. The sending module sends the background image that matches the image characteristic information to the client device so that the client device may use the background image as a desktop background. The present techniques intelligently set the desktop background or subject of the client device according to current information of the client device, thereby enabling automatic configuration of individualized desktop background at the client device.

Abstract: Methods and apparatus to generate templates from web images for searching an image database are described. In one embodiment, one or more retrieved images (e.g., from the Web) may be used to generate one or more templates. The templates may be used to search an image database based on features commonly shared between sub-images of the retrieved images. Other embodiments are also described.

Abstract: Elements of an electronic image are organized into groups to obtain descriptive data associated with the electronic image. A wide field view of the electronic image is obtained from a first component and a higher resolution image of a selected portion of the wide field view of the electronic image is obtained from a second component to resolve ambiguity associated the selected portion of the wide field view of the electronic image. At least one primitive is formed using pixels of the electronic image, where the primitive is a curve primitive or a region primitive. The at least one primitive is analyzed using at least one level in a ladder of abstraction to organize elements of the electronic image into groups from which descriptive data can be obtained about at least one of objects or activities associated with the electronic image.

Abstract: Providing improved card art for display comprises receiving, by one or more computing devices, an image of a card and performing an image recognition algorithm on the image. The computing device identifies images represented on the card image and comparing the identified images to an image database. The computing device determines a standard card art image associated with the identified image based at least in part on the comparison and associates the standard card art image with an account of a user, the account being associated with the card in the image. The computing device displays the standard card art as a representation of the account.

Abstract: A method and apparatus for tracking an object, and a method and apparatus for calculating object pose information are provided. The method of tracking the object obtains object feature point candidates by using a difference between pixel values of neighboring frames. A template matching process is performed in a predetermined region having the object feature point candidates as the center. Accordingly, it is possible to reduce a processing time needed for the template matching process. The method of tracking the object is robust in terms of sudden changes in lighting and partial occlusion. In addition, it is possible to track the object in real time. In addition, since the pose of the object, the pattern of the object, and the occlusion of the object are determined, detailed information on action patterns of the object can be obtained in real time.

Abstract: Candidate identification utilizing fingerprint identification is disclosed.

Abstract: The invention relates to the field of image processing technology, in particular to an image recognition method and device, for the purpose of solving such a problem in the prior art that lower recognition accuracy is resulted from loss of key information (except a contour drawing) in the image due to adoption of an image recognition mode for image representation based on a contour drawing. The embodiment of the invention provides an image recognition method, including: to determine the triangle matching degree on the basis of a characteristic triangle determinated from the target image and a characteristic triangle determinated from the source image; and to determine image matching degree between the target image and the source image on the basis of the triangle matching degree determinated.

Abstract: A parse module calibrates an interior space by parsing objects and words out of an image of the scene and comparing each parsed object with a plurality of stored objects. The parse module further selects a parsed object that is differentiated from the stored objects as the first object and stores the first object with a location description. A search module can detect the same objects from the scene and use them to determine the location of the scene.

Abstract: A computer arrangement is disclosed, including a processor and a memory that stores a computer program, object data originating from a first source and including object location data, and laser samples originating from a second source, including a sub-set of laser samples relating to the object and including laser sample location data as to each laser sample. In at least one embodiment, the processor compares the object location data and the laser sample location data of the sub-set of laser samples, and matches the object location data to the laser sample location data of the sub-set of laser samples based on this comparison, and thereby corrects for relative positional errors between the first and second sources of location data. The object may be a building façade, for example.

Abstract: The present invention concerns a method for correcting a digital image stored by a client device by geometric adjustment of this image onto a reference image stored by a server device connected to the client device by a communication network.

Abstract: An object detection apparatus includes a storage section storing a plurality of selection patterns as combinations of one of a plurality of recognition dictionaries and one of a plurality of image recognition algorithms, a specifying means for specifying at least one of a distance from a position at which an input image is taken and a target corresponding to the detection object within the input image and a state of light of the input image, a selection means for selecting one from the plurality of the selection patterns based on at least one of the distance and the state of the light specified by the specifying means, and a detection means for detecting the detection object within the input image by performing an image recognition process using the image recognition dictionary and the image recognition algorithm included in the selection pattern selected by the selection means.

Abstract: A method, non-transitory computer readable medium, and apparatus that tracks an object includes utilizing random projections to represent an object in a region of an initial frame in a transformed space with at least one less dimension. One of a plurality of regions in a subsequent frame with a closest similarity between the represented object and one or more of plurality of templates is identified as a location for the object in the subsequent frame. A learned distance is applied for template matching, and techniques that incrementally update the distance metric online are utilized in order to model the appearance of the object and increase the discrimination between the object and the background. A hybrid template library, with stable templates and hybrid templates that contains appearances of the object during the initial stage of tracking as well as more recent ones is utilized to achieve robustness with respect to pose variation and illumination changes.

Abstract: A device is configured to capture an image of a monitoring device display, perform optical character recognition to identify alphanumeric data in the image, apply a device profile to map each identified alphanumeric datum to a parameter associated with the monitoring device; and store each datum along with its associated parameter.

Abstract: A system for automatically selecting a template and a number of secondary images for display with a primary preselected image based on analyzing the primary image's attribute information and comparing the template's required image attributes and secondary image's attribute information. The attribute information is used to evaluate and arithmetically score a compatibility of the images and template so that a best compatibility fit can be obtained when displaying the image.

Abstract: A system for authenticating an optical pattern created by exposing a magnetically sensitive material to one or more magnetic field sources. The system includes illumination sources configured to illuminate the optical pattern, sensors configured to generate sensed optical characteristic data when the optical pattern is illuminated, a memory configured to store a reference optical data associated with a reference optical pattern, and a processor configured to access the memory and compare the reference optical data to the sensed optical characteristic data in order to authenticate the optical pattern.

Abstract: A template document and a reference document that contains objects (e.g. text objects) are received, for example, from a scanner. A plurality of common objects between the template document and the reference document are identified. Locations of the plurality of common objects in the template document and the reference document are identified. One or more distances between the locations of the plurality of common objects in the template document and the reference document are also identified. A determination is made whether the one or more distances between the plurality of common objects in the template document and the reference document are substantially the same. In response to determining that the one or more distances between the plurality of common objects in the template document and the reference document are substantially the same, the template document and the reference document are grouped as common documents.

Abstract: A computing device configured for providing an interface is described. The computing device includes a processor and instructions stored in memory. The computing device projects a projected image from a projector. The computing device also captures an image including the projected image using a camera. The camera operates in a visible spectrum. The computing device calibrates itself, detects a hand and tracks the hand based on a tracking pattern in a search space. The computing device also performs an operation.

Abstract: A photography apparatus includes: an imaging unit configured to image a subject and acquire photographed image data; a display unit configured to perform an image display; and a control unit; wherein the control unit executes reading processing for reading out, from a storage medium which stores template information arranged to fit and display photographed image data imaged by the imaging unit into a target region within display screen data according to a predetermined display format, the template information, wherein instruction information for instructing what sort of image should be photographed as the photographed image data to be fit and displayed in the target region is correlated therewith, and instruction information display control processing for controlling the display unit so as to display the instruction information in a correlated manner with the target region, in accordance with the template information.

Abstract: A method is provided for photo frames with dynamic automatic template building system and location sensitive photo commerce. The method comprises: determining, by a geographic location sensing device, a first geographic location of the mobile device; obtaining, by a communication device, information from an external source regarding templates for photo frames associated with second geographic locations of known proximity to the first geographic location; downloading, by the communication device, a template for one of the photo frames for which information was received, the photo frame including a graphic content; combining, by the processor, the graphic content from the photo frame with additional graphic content from one of a digital photo stored previously stored in a memory or a digital photo taken by a digital camera; creating a new digital photo from the combined graphic content; and storing the new digital photo in the memory.