Abstract: An activity map creating device creates an activity situation of a moving object, and outputs an activity map visualizing the activity situation of the moving object. The device includes a moving object detector that detects the moving object from a captured image, and a first activity value obtainer that obtains a moving object activity value for each of a plurality of detection elements. The device further includes a target area setter that sets a target area, a second activity value obtainer that aggregates, in the target area, moving object activity values of the respective detection elements, and a map generator that creates the activity map for the target area based on the aggregation. The device further includes an output information generator that creates output information on the activity map.

Abstract: An image comparison unit (81) compares a query image with a registered image to detect, in the registered image, a region corresponding to the query image. An action information determining unit (82), on the basis of intermediate information in which sub-region information identifying sub-regions in the registered image and action information representing information processing to be executed by a target device are associated with each other, identifies sub-regions on the basis of the sub-region information, chooses a sub-region having the highest degree of matching with the detected region among the identified sub-regions, and identifies action information corresponding to the chosen sub-region. An action information execution unit (83) causes the target device to execute information processing corresponding to the action information.

Abstract: With the object of making a user aware of the effect achieved by processing whose details and usage method he or she does not know and encouraging the use of such processing, the invention is an image processing apparatus including a subject recognition circuit that recognizes a subject type existing in an input image; a storage circuit that stores a plurality of processing instruction datasets that represent processing details for processing the input image; a processing instruction dataset obtaining circuit that obtains, from the storage circuit, processing instruction datasets which are predefined according to the subject type recognized by the subject recognition circuit; a processing instruction dataset determining circuit that calculates, for each of the obtained processing instruction datasets, a degree-of-invalidity indicating a degree to which the processing instruction dataset is not suitable for the input image and that selects a prescribed number of the processing instruction datasets for which th

Abstract: A system including a client and a server in a client-server architecture. The client transmits requests to the server for content subject to a sorting criterion that is ultimately used to sort results of the search. The server identifies an item matching the sorting criterion from its items collection. The server further generates an identifier for the directory item. The identifier is generated from the sorting criterion and is transmitted to the client. The client uses the identifier to sort the matching items.

Abstract: A method for compensating pixel luminance of a display panel which includes receiving pixel parameters corresponding to sub-pixels of the display panel, receiving an input image, adjusting the input image according to the pixel parameters, and displaying the adjusted input image at the display panel. The pixel parameters include a first pixel parameter of a base luminance level of a base color channel, a first residual determined from performing inter-channel prediction, a second residual determined from performing inter-level prediction, and parameters used in the performing of the inter-level prediction.

Abstract: Method and apparatus is disclosed for a user to communicate with an electronic device. A processor receives user intention actions comprising facial expression (FE) information indicative of facial expressions and body information indicative of motion or position of one or more body parts of the user. When the FE or body information crosses a first level, the processor starts generating first signals based on the FE or body information to communicate with the electronic device. When the FE or body information crosses a second level, the processor can end generation of the first signals or modify the first signals. An image processing or eye gaze tracking system can provide some FE information or body information. The signals can modify attributes of an object of interest.

Abstract: A corrected optical property value of an optical property of interest captured within a digital image is determined. A search query based on the corrected optical property value is determined. A database is searched using the search query to determine search results for the search query that have appearance attributes with optical properties at least similar to the corrected optical property value.

Abstract: The game program according to the present invention directs a computer to execute processes whereby a graphic pattern input is accepted in response to a pointing location on a game screen being moved as a result of manipulation by a player; probabilities are calculated, with which a graphic pattern inferred from a pointing location trajectory matches each of respective multiple preset graphic patterns in a state in which the movement of the pointing location is maintained; a graphic pattern satisfying a preset criterion is selected from among the multiple graphic patterns based on the result of calculating a probability of match for each of the graphic patterns; and the action of a player character operated by the player is controlled in accordance with the character action associated with the selected graphic pattern.

Abstract: In a failure detecting apparatus, acquiring unit acquires a plurality of images captured by a plurality of imaging devices in which exposures thereof are capable of being individually controlled. The plurality of images including an overlapped region that represents a region where images are overlapped. The region extracting unit extracts a plurality of overlapped regions from the plurality of images acquired by the acquiring unit. The feature extracting unit extracts features of image from the plurality of overlapped regions extracted by the region extracting unit. Further, the comparing unit compares the features of image between the plurality of overlapped regions and the similarity determining unit determines whether or not the features of image are similar based on a result of comparing by the comparing unit. The failure determining unit determines a failure in the imaging device when the similarity determining unit determines the features of image are not similar.

Abstract: An imaging system configured to display a captured image on a display having a lower dynamic range than the imaging system is provided, wherein the imaging system includes a high dynamic range imager configured to capture at least one high dynamic range image, and a processing device communicatively connected to the high dynamic range imager, wherein the processing device is configured to reduce color speckles caused by errant interpolated pixel values and reduce occurrence of errant values of alternate color while maintaining at least one of sharpness detail, edge detail, and generate smoothing color rendering in a displayed image.

Abstract: Examples of methods and systems for providing calibration for eye gesture recognition are described. In some examples, calibration can be executed via a head-mountable device. A method for calibration of a system may account for changes in orientation of the head-mountable device, update recognition of the eye gestures, or increase efficiency of the system, for example. The head-mountable device may be configured to receive signals indicative of eye gestures from an eye gesture-detection system and in response to receiving a second command confirming that the signal is indicative of an eye gesture command, to make adjustments to the eye gesture recognition system and/or the reference signals. The head-mountable device may calibrate an eye gesture recognition system via implicit or explicit calibration, for example.

Abstract: Systems and methods for image analysis and recognition are disclosed, in particular the methods for interest point description. An interest point and its surrounding area is broken into subareas, a frequency domain description of each area is created by applying discrete Fourier transform (DFT). Frequency domain features are than coded bitwise by comparing them to predefined thresholds. Subsequently, the present invention provides alternative or improved methods and data structures for interest point description that may reduce memory consumption and allow fast bitwise matching.

Abstract: Tomographic data representing an imaged three-dimensional object is divided into macro blocks and filtered by visibility and presence in a projected frame of a rendered three-dimensional object to speed rendering of the object. The data are loaded and rendered in parallel for improved speed and capacity.

Abstract: A microarray analysis method, in which a microarray obtained by arranging probes on a substrate surface having an irregular shape is irradiated with excitation light and fluorescence amounts of the probes excited by the excitation light are obtained as numerical data, includes a step (a) of measuring the fluorescence amounts of the probes to acquire fluorescence image data, a step (b) of receiving reflected light and/or scattered light from the substrate surface to acquire the irregular shape of the substrate surface of the microarray as alignment image data based on the light receiving intensities of the light, and a step (c) of determining positions of the probes on the fluorescence image data based on the alignment image data.

Abstract: A method of image-tracking by using an image capturing device (12). The method comprises: performing an image-capture of a scene (54) by using an image capturing device; and tracking movement (62) of the image capturing device (12) by analyzing a set of images by using an image processing algorithm (64).

Abstract: Implementations relate to visualizing and measuring impact of image modifications. In some implementations, a method to measure and indicate impact of image modification includes applying an edit operation to a first image, including modifying one or more pixels of the first image to provide a modified image. The method determines an impact score associated with the edit operation and indicative of a degree of visual impact of the edit operation to the first image. The method provides, based on the impact score, the modified image in a visualization of image modification for the first image, and provides the visualization for display by a display device.

Abstract: A hardware module for an application search system includes a data processing module that generates a plurality of canonical application structures each identifying a canonical application, a plurality of application editions associated with the canonical application, and respective attributes associated with the at least one application edition. The data processing module generates search indexes including the plurality of canonical application structures and the respective attributes. An application search module receives a search query from a user, selects at least one of the search indexes based on the search query and the respective attributes, identifies an initial set of canonical applications using the selected search index based on the search query, generates search results based on the initial set of canonical applications, and provides the search results to the user.

Abstract: An image forming apparatus includes a document reading unit, an image forming unit, an image data saving unit, a correction instruction detection unit, an image correction unit, and a controller. The document reading unit reads an image on a source document and acquires image data. The image forming unit prints an image on a recording sheet according to the image data. The image data saving unit saves the image data of image printed by the image forming unit on the recording sheet. The correction instruction detection unit detects the correction instruction written on the recording sheet on which the image is printed. The image correction unit corrects the image data stored in the image data saving unit, according to the correction instruction detected by the detection unit. The controller causes the image forming unit to print an image representing the image data corrected by the image correction unit.

Abstract: A monitoring apparatus according to embodiments of the invention generates and outputs an output moving image obtained by changing an image area of a person detected from an imaged moving image of a monitoring area to a mask image. The monitoring apparatus includes a person image analyzer including a person detector which detects a person from the imaged moving image and acquires area information regarding each person and an attribute determinator which determines attributes for each person detected from the imaged moving image, a mask image setter which sets the mask image by the attribute, and a moving image output controller which generates and outputs the output moving image obtained by changing the image area for each person to the mask image by the attribute, based on the area information and the attribute for each person output from the person image analyzer.

Abstract: A method and system for selectively communicating information are disclosed herein. In at least one embodiment, the method includes receiving at a server first information portions regarding one or more preferences, instructions, user profile details, or operational history details. The method also includes receiving an initial version of a message including additional information from a mobile device associated with a user, and determining based upon the first information portions that the additional information should be modified. The method further includes generating a first modified version of the message by modifying the additional information, and sending, for receipt by a further mobile device associated with a further user, the first modified version. Accordingly, in at least some embodiments, the first modified version of the message can include additional relevant content suited for each given recipient, based on (for example) preference, profile, or history information.

Abstract: In order to represent an item of three-dimensional graphical information on a display device, in particular of a vehicle, a method calculates a first item of two-dimensional graphical information for at least one first area of the display device from the three-dimensional information using a graphics processor, The display device represents the three-dimensional information in a two-dimensional manner. A second item of two-dimensional graphical information is calculated for at least one second area of the display device from the three-dimensional information using a universal processor. The second area is part of the first area.

Abstract: A raster image processing method and a raster image processor validate content objects in a document based on similarity, especially on continuity, to convert the similar objects with one or more same parameters of an image manipulation method to achieve a correct reproduction of the document.

Abstract: A dual-aperture zoom digital camera operable in both still and video modes. The camera includes Wide and Tele imaging sections with respective lens/sensor combinations and image signal processors and a camera controller operatively coupled to the Wide and Tele imaging sections. The Wide and Tele imaging sections provide respective image data. The controller is configured to combine in still mode at least some of the Wide and Tele image data to provide a fused output image from a particular point of view, and to provide without fusion continuous zoom video mode output images, each output image having a given output resolution, wherein the video mode output images are provided with a smooth transition when switching between a lower zoom factor (ZF) value and a higher ZF value or vice versa, and wherein at the lower ZF the output resolution is determined by the Wide sensor while at the higher ZF value the output resolution is determined by the Tele sensor.

Abstract: An application programming interface is provided that allows applications to request and receive distance measurements from multiple proximity sensors arranged on a computing device such as a smart phone or tablet. Users can input ranges of values to the applications by moving objects such as hands and fingers towards and away one or more of the multiple proximity sensors. Applications can use the ranges of values provided by the proximity sensors to allow for more nuanced and precise user interfaces than what is typically available using the binary output associated with a capacitive display. The values provided by the proximity sensors can be combined with values from one or more other sensors such as accelerometers to provide additional user interface options.

Abstract: Systems and method for improving the quality of document images are provided. One method includes identifying a plurality of image fragments within a previously received document image that includes text. The method further includes separating the plurality of image fragments into a plurality of classes. Each class includes a subset of the plurality of image fragments that are substantially similar to one another. The method further includes, for each of the plurality of classes: (1) processing a class of image fragments to generate a combined and substantially enlarged image fragment for the class; and (2) filtering the combined and substantially enlarged image fragment to generate a filtered image fragment for the class. The method further includes generating an improved document image by replacing or modifying the image fragments within the document image based on the filtered image fragments.

Abstract: The present disclosure provides a method for determining an applicability of a specific processing device having a specific processing pattern. The method includes the following steps: locating a similarity index between the specific processing pattern and a reference processing pattern of a reference processing device; and confirming the applicability of the specific processing device if the similarity index is no less than a threshold. Besides, a method for assessing an applicability of a new processing pattern for a specific processing device, and a method for determining an applicability of an alternative processing path for a reference processing path are also provided.

Abstract: In some implementations, a digital work provider may provide language model information related to a plurality of different contexts, such as a plurality of different digital works. For example, the language model information may include language model difference information identifying a plurality of sequences of one or more words in a digital work that have probabilities of occurrence that differ from probabilities of occurrence in a base language model by a threshold amount. The language model difference information corresponding to a particular context may be used in conjunction with the base language model to recognize an utterance made by a user of a user device. In some examples, the recognition is performed on the user device. In other examples, the utterance and associated context information are sent over a network to a recognition computing device that performs the recognition.

Abstract: A method and apparatus for detecting and segmenting anomalous data in an input data set such as an image is described, which makes use of a normalized distance measure referred to as a zeta distance score. A test data point from an input test data set is compared with its corresponding nearest neighboring standard data points in standard data sets representing variation in normal or expected data values, and the average distance from the test data point to the standard data points is found. An additional average distance measure representing the average distance between the different nearest neighboring corresponding standard data points is also found, and a normalized distance measure obtained by finding the difference between the average distance from the test data point to the standard points and the average distance between the nearest neighboring standard data points themselves. Where the input test data set is an image then a zeta distance score map can be found.

Abstract: Tracking using sensor data is described, for example, where a plurality of machine learning predictors are used to predict a plurality of complementary, or diverse, parameter values of a process describing how the sensor data arises. In various examples a selector selects which of the predicted values are to be used, for example, to control a computing device. In some examples the tracked parameter values are pose of a moving camera or pose of an object moving in the field of view of a static camera; in some examples the tracked parameter values are of a 3D model of a hand or other articulated or deformable entity. The machine learning predictors have been trained in series, with training examples being reweighted after training an individual predictor, to favor training examples on which the set of predictors already trained performs poorly.

Abstract: A method for performing super-resolution on an input image having low resolution, comprises generating a generic training data set of descriptors extracted from regions of training images, and for each patch of the input image, determining a defined number of nearest neighbor regions, extracting example patches from the nearest neighbor regions and collecting the example patches in an example patch data base, determining a combination of low-resolution example patches that, according to their descriptors, optimally approximate the current patch, and constructing a high-resolution patch, wherein a super-resolved image is obtained.

Abstract: An image processing apparatus includes a component acquisition unit that acquires a chromaticity component and a luminance component from each of a process target image and a reference image, a feature quantity extraction unit that extracts a feature quantity from the chromaticity component and the luminance component of each of the process target image and the reference image, a chromaticity component adjustment unit that matches the chromaticity component of the process target image to the chromaticity component of the reference image using the feature quantity of the chromaticity component, and a luminance component adjustment unit that matches the luminance component of the process target image to the luminance component of the reference image in a non-dark region other than a dark region, and reduces an amount of adjustment in the adjustment of the dark region to be smaller than an amount of adjustment applied to the non-dark region.

Abstract: Methods and systems for keyword spotting, i.e., for identifying textual phrases of interest in input data. The input data may be communication packets exchanged in a communication network. A keyword spotting system holds a dictionary (or dictionaries) of textual phrases for searching input data. The input data and the patterns are assigned to multiple different pattern matching algorithms. For example, a share of the traffic is handled by one algorithm and smaller traffic shares may be handled by the others. The system monitors the algorithms performance as they process the data to search for a match. The ratio of traffic splitting among the algorithms is dynamically reassigned or adjusted to maximize the overall performance.

Abstract: An image processing device includes an image sequence acquisition section that acquires an image sequence that includes a plurality of images, and a processing section that performs an image summarization process that deletes some of the plurality of images included in the acquired image sequence to acquire a summary image sequence, the processing section selecting a reference image and a determination target image from the plurality of images, calculating a coverage ratio of the determination target image by the reference image based on deformation information about the reference image and the determination target image, and determining whether or not the determination target image can be deleted based on the coverage ratio.

Abstract: Image navigation of an input image by edge registration proceeds by generating a reference image kernel in which edges of a reference image are embraced by borders. Image intensities of the reference image kernel internal to the borders increase with decreasing distance from the edges. A registration score is computed by cross-correlating the image intensities of the reference image kernel with image intensities in the input image. A feature exists in the input image when the registration score meets a registration criterion.

Abstract: An image processing apparatus includes a detection unit that detects that a center position of an area corresponding to at least a portion of an object moving within a display screen has moved across an object detection line segment set in the display screen. A setting unit sets an inhibition region, where the detection is inhibited, along a frame of the display screen to provide both (i) a non-inhibition region where the detection is not inhibited and (ii) the inhibition region, together with each other in the display screen, after setting the inhibition region. The non-inhibition region is a remaining region in the display screen, other than the inhibition region. The detection unit detects that the center position has moved across the object detection line segment set in the non-inhibition region.

Abstract: An apparatus including an acquisition unit configured to acquire at least one image group including at least one image; a creating unit configured to create a plurality of layout candidates, by selecting at least one image from an image group acquired by the acquisition unit, and arranging the at least one selected image; an evaluation unit configured to evaluate the layout candidates created by the creating unit; a deciding unit configured to decide a presentation order of a plurality of selected layout candidates, based on evaluation results from the evaluation unit; and a presenting unit configured to present layout candidates in the presentation order decided by the deciding unit; wherein the deciding unit decides the presentation order so that the presentation order is different from an order of evaluation values from the evaluation unit, based on the evaluation results of the evaluation unit.

Abstract: Systems, methods, and other embodiments associated with processing regular expressions are described. One example method includes analyzing a rule for a regular expression and deleting the regular expression.

Abstract: A method of classifying ciliary motion includes receiving digital video data representing the ciliary motion generated by an image capture device, wherein the digital video data includes a plurality of frames. The method further includes receiving an indication of a region of interest applicable to each of the frames, wherein the region of interest includes a plurality of pixels in each of the frames, calculating time series elemental motion data for at least one elemental motion parameter for the region of interest based on the digital video data, and using the time series elemental motion data to classify the ciliary motion.

Abstract: A template document is received. A user defines an anchor area, and a field zone that contains a target object, in the template document. Objects, such as text objects, are identified in the anchor area along with their locations. Distances between locations of the objects in the anchor area are identified. A distance between the anchor area and the field zone is identified. A reference document is received. The objects in the reference document are identified. A number of common objects are identified. If there are common objects, locations of the common objects and the distances between the common objects are identified in the reference document. The identified distances between objects in the template document and the reference document are compared. If the distances are substantially the same, a corresponding target object is retrieved from the reference document based on the distance between the anchor area and the field zone.

Abstract: This disclosure relates to systems and methods for generating a narrative of images based on image classification, selection, and arrangement based, at least in part, on time, location, content, color, complexity, and/or faces. The image classification may be based on image analysis or analyzing information attached to the images.

Abstract: Information corresponding to a face image preferred by a user as a whole is presented while considering a face element preferred by the user. An information processing apparatus identifies a priority of each of a plurality of elements included in a face in a reference face image. The priority is according to specification by a user. The information processing apparatus extracts, from among a plurality of face images, face images whose similarities of an area including the plurality of elements to the reference face image is greater than or equal to a first threshold value. The information processing apparatus decides, on the basis of similarities of each element between the reference face image and the extracted face images and the identified priority of each element, presentation order of presentation information presented as search results corresponding to the extracted face images.

Abstract: Systems and methods are disclosed for determining the location where an image was captured. In general, a device such as a smartphone may capture one or more images from a location, such as images of buildings, street signs and the like, and a central system may compare the submitted images to images in an image library to identify matches. The location of the match may then be provided back to the smartphone.

Abstract: An image of a printed document portion is provided to a synchronizer. The synchronizer retrieves an electronic version of the printed document and identifies an electronic text portion that is textually similar to a printed text portion. The synchronizer detects an annotation in the printed document portion and inserts a corresponding digital annotation into the electronic document.

Abstract: The disclosure includes a system and method for detecting communities in a weighted graph. The community detection module includes a tagset data aggregator, a counts statistics engine, a weighted graph generator, a coherence engine, a community detector and a tag recommendation engine. The tagset data aggregator receives tagset data. The counts statistics engine determines counts statistics for the tagset data. The weighted graph generator generates and denoises weighted tag occurrence graph based on the counts statistics. The coherence engine determines importance score for all tags and coherence score for all tagsets in the tagset data. The community detector determines maximally coherent communities in the weighted tag co-occurrence graph. The tag recommendation engine recommends tags in real time using the maximally coherent communities.

Abstract: A graphics processing pipeline may include at least two or more pipes, such that a lower frequency operation may be executed on one pipe while a higher frequency operation in the same instruction stream is executed at the same time on another pipe. In some cases, the lower frequency operation result may be held for later use in connection with the higher frequency operation on a different pipe. Especially where unused slots can be used for the lower frequency operation, efficiency may be improved.

Abstract: It's an object of the invention to provide an object detection device capable of detecting an object for detection in an input image with high precision. In an object detection device 1, a detection window setting unit 11 receives a photographic image 21 photographed by a camera. The detection window setting unit 11 sets a detection window area in the photographic image 21 and generates a normal window image 22 by cutting out the detection window area from the photographic image 21. An image processing unit 12 performs image processing such as enlargement and reduction, etc. on the photographic image 21. Each modified window images 23 is cut out from each of the enlarged photographic image 21 and the reduced photographic image 21. A degree calculation unit 13 calculates matching rates indicating a possibility the object for detection in the window image for each window images on the basis of feature data 51 indicating a feature of the object for detection.

Abstract: A processing device comprises a processor coupled to a memory and is configured to implement an overlay effects selection interface for use in conjunction with generation of a graphical password. An image is obtained and presented in the overlay effects selection interface with a plurality of user-selectable overlay effects. User input is received identifying at least one overlay effect selected from the plurality of user-selectable overlay effects, and a modified version of the image is presented incorporating the selected at least one overlay effect. Information characterizing the image and the selected at least one overlay effect is utilized to control access to a protected resource. For example, the information characterizing the image and the selected at least one overlay effect may be obtained as part of a graphical password enrollment process and stored as at least a portion of the graphical password for controlling access to the protected resource.

Abstract: Integrated circuits with interpolating circuitry for deinterlacing video data are provided. Each frame of video data may include a field of pixels from every-other row of the frame. Edge detection circuitry may generate an edge map for the field. The edge map may be filtered to remove weak edges from the map. Cartesian Hough transformation circuitry may perform Cartesian Hough transforms on the filtered edge map to generate a Cartesian Hough space histogram. The Cartesian Hough space histogram may be filtered to remove bins having insufficient counts. Offset mask generation circuitry may generate an offset mask based on the Cartesian Hough space histogram. Interpolation circuitry may generate interpolated pixel values for missing rows of the field using pixels from the field and the offset mask. The interpolating circuitry may generate deinterlaced video data that is free from image artifacts along low-angle edges using the interpolated pixel values.

Abstract: An object is to correct gradations in such a manner that both halo reduction effect and Retinex calculation effect are satisfied. Each JND value corresponding to each obtained luminance value to be assigned to each unit gradation of a panel is obtained. A pixel value corresponding to the each JND value is obtained for each of the unit gradations of the panel. A threshold ? is obtained by inverse gamma-correcting the ratio between discernible JND values corresponding to the unit gradations of the panel and the maximum output value of the panel. Linear function-based approximations are obtained using least squares. The threshold ? is determined as an increasing function of a pixel value on the basis of the allowable number of JND steps. The threshold ? is changed using this function. The threshold ? can be changed according to the center pixel value.

Abstract: An image layout generating apparatus includes: a first image arranging unit for extracting a first piece of image data from a plurality of image data, and arrange a first image; an image data extracting unit for extracting a new piece of image data; an arranged image selecting unit configured to calculate an inter-image distance between the new piece of image data and image data of each arranged image, and select one of the arranged images; a second image arranging unit configured to arrange a new image to be above, below, left, or right of the selected arranged image by adjusting a size while maintaining an aspect ratio of the new image; and a size adjusting unit configured to adjust the sizes while maintaining the aspect ratios of all the arranged images so as to configure one set of images in which all of the arranged images overall form a rectangle.