Abstract: Apparatus and methods are provided for viewing a check image and selecting a check service to be applied to a check. Check services may include a pay/return decision. The check images may be presented in a carousel view without pop-up windows. The user may import pre-selected check services such as stop payments. Check images may be marked with a status indicator. The status indicator may correspond to a check service applied to the check or a reconciliation error associated with the check. A user may receive notifications of pending expiration of an applied check service. The user may select and apply a check service at any time during a clearing process of the check. User may search for checks and check images based on the check service applied to the check. Search results may include check images and may be transmitted to a requested location such as via e-mail.

Abstract: A social networking system performs account recovery for a user with the help of the user's connections (e.g., friends). The social networking system selects connections of the user based on information indicating likelihood of real-world interactions between the user and the selected connections. Access codes are sent to the selected connections and the user instructed to obtain access codes from the selected connections via a communication that is outside the social networking system, for example, via phone. The user provides the access codes obtained from the selected connections to the social networking system. If the access codes provided by the user match the access codes sent to the selected connections, the user is granted access to the account. Real-world interactions between two users are determined based on sharing of devices between the users or information indicating presence of the users in the same place during same time interval.

Abstract: A method, computer program product, and computer system for receiving, at a first computing device, location information of a second computing device and one or more computing devices. The location information is received in response to an action performed with at least one of the first computing device and the one or more computing devices. At the first computing device, the one or more computing devices that are within a pre-defined distance from the second computing device are identified based upon, at least in part, the location information. At least a portion of automatically-suggested user information associated with the one or more computing devices within the pre-defined distance from the second computing device is sent from the first computing device to the second computing device.

Abstract: Integrating metadata from applications used for social networking into a customer relationship management (CRM) system includes obtaining, from applications used for social networking, metadata associated with users of the applications, analyzing the metadata from the applications to infer opportunities, relationships for mapping clients, structures, and subject matter experts, and integrating the opportunities, the relationships for mapping the clients, the structures, and the subject matter experts into a CRM system to populate the CRM system.

Abstract: A social network system provides a social network that receives from an application a business object and an associated system of record and generates a social object that corresponds to the business object and that comprises the system of record for the enterprise application. The social network assigns one or more members to the social object. The social network receives first changes to the system of record and, in response, modifies the social object to incorporate the first changes. The system provides second changes to the social object to the enterprise application, and the enterprise application, in response, modifies the system of record to incorporate the second changes.

Abstract: Provided is a process including: receiving a tank-nearly-full message indicating that a tank at an oil or gas related facility is or will be ready for a truck to unload and transport fluid accumulating in the tank; in response to the tank-nearly-full message, creating a tank-run record; sending a description of the tank-run to a mobile device of a driver of an oilfield truck; receiving, from the mobile device of the driver of the oilfield truck, a tank-run claimed message indicating that the driver will drive to the oil or gas related facility and transport at least some of the fluid accumulating in the tank; and after the tank-run claimed message, performing steps including: confirming that the tank-run has not yet been claimed; after the confirmation, designating the tank-run as claimed by the driver; and sending confirmation to the mobile device of the driver.

Abstract: Each block of texture data elements is encoded as a block of texture data. The encoding process includes determining for each block of texture data elements whether the set of texture data elements of the block all have sufficiently similar data values. If they do, the extent of a region within the texture including the block in which every texture data element has sufficiently similar data values is then determined, and an encoded texture data block to represent the block of texture data elements that indicates that the block specifies a region within the texture in which every texture data element is to be allocated the same data value when decoded, and that includes data indicating the constant data value for the block and data indicating the extent of the region within the texture that the block relates to, is generated.

Abstract: Input amount calculation processing and output amount calculation processing corresponding to each processing module are defined. The input amount calculation processing and the output amount calculation processing are performed in a processing order (a reverse order to the processing order) to obtain a favorable peripheral pixel amount.

Abstract: Methods and systems may provide for storing a set of post-synchronization operations to a graphics memory and sending a flush marker to a graphics pipeline. Additionally, the set of post-synchronization operations may be processed in response to the flush marker exiting the graphics pipeline. In one example, the set of post-synchronization operations includes one or more atomic operations. Moreover, the set of post-synchronization operations may be obtained from an inline portion of an atomics command.

Abstract: A data-processing apparatus and an operation method thereof are provided. The data-processing apparatus includes a tiling circuit and a post-stage processing circuit. The tiling circuit is configured to receive input data. The tiling circuit divides a current frame of the input data into at least one tile and checks a motion state of the current tile in the at least one tile. The post-stage processing circuit is coupled to the tiling circuit to receive the current tile. The post-stage processing circuit performs post processing on the current tile to generate a processed current tile of the current frame or to obtain a processed corresponding tile of a previous frame and serves it as the processed current tile of the current frame, according to the motion state of the current tile.

Abstract: A display driver and an image signal processing system including the same, the display driver including a register block configured to sequentially store commands received from an application processor through a data lane, and a command processing unit configured to sequentially execute the commands during a plurality of frames.

Abstract: Systems and methods may provide for identifying a tile associated with an image and ordering an entirety of the tile into a linear stream of pages associated with a frame buffer. Additionally, the linear stream of pages may be allocated to a cache. In one example, the linear stream of pages is allocated to the cache in accordance with a fixed set selection policy of the cache.

Abstract: Embodiments include method, systems and computer program products for performing memory-aware matrix factorization on a graphics processing unit. Aspects include determining one or more types of memory on the graphics processing unit and determining one or more characteristics of each of the one or more types of memory. Aspects also include assigning each of a plurality of memory accesses of a matrix factorization algorithm to one of the one or more types of memory based on the one or more characteristics and executing the matrix factorization algorithm on the graphics processing unit.

Abstract: Systems, devices, and methods obtain a sequence of images of a physical scene that includes a physical representation of a first object; calculate a sequence of first transform values of the physical representation of the first object based on the sequence of images store the sequence of first transform values; generate an enhanced scene; maintain the first object in the enhanced scene at positions and orientations that are indicated by the sequence of first transform values; receive an indication of selected transform values in the sequence of first transform values; retrieve the selected transform values; and generate a replay image of the enhanced scene, from a second observer viewpoint, that shows the first object at the position and the orientation that are indicated by the selected transform values.

Abstract: An image processing apparatus includes a detection unit that detects segments from a first image; a selection unit that selects pairs of segments formed of a predetermined number of segments counted from a higher priority in an order of length among the detected segments and segments in a second image, the second image being a model of the first image; and a calculation unit that calculates distortion of the first image with respect to the second image by using the pairs of segments.

Abstract: Information in a diagram is logically structured using lists, containers, and callouts without requiring the diagram author to explicitly define a structure or map any diagram contents to a structure. Logical relationships are inferred based on actions associated with shapes, groupings, and attributes of shapes/groupings taken by the author. Feedback mechanisms are provided to communicate an underlying structure to the author. Intelligent behaviors are enabled to expose manipulation of diagrams based on their logical structure.

Abstract: An image processing apparatus includes a super-resolution processing unit for executing super-resolution processing on one input image among an input image group having a plurality of color channels and input images each having a common partial region, a resolution conversion unit for executing resolution conversion processing on the input image having been subjected to the super-resolution processing, and a specification unit for specifying a combination of a magnification of the super-resolution processing and a magnification of the resolution conversion processing for each color channel. The specification unit specifies the combination so that a magnification of the super-resolution processing of at least one color channel differs from a magnification of the super-resolution processing of other color channels.

Abstract: Systems and methods dynamically configure a display (104) of an electronic device (102) to a desired display resolution and/or a magnification factor without noticeable impact on the user viewing experience. According to certain aspects, the distance between a user (100) and the display is measured (1002), and the desired display resolution is determined (1006) based on the distance. If a user is exhibiting (1008, 1010) symptoms of presbyopia, a magnification factor may be determined (1012). A request indicating the desired display resolution and/or magnification factor is transmitted (1016) to a server that supplies images, such as pictures or videos. The image is received (1018) from the server and displayed (1020) on the display. A focus area distance and/or a pupil orientation of the user may also influence the desired display resolution. Bandwidth, processing, and power savings may result through the use of these systems and methods.

Abstract: An apparatus, method, and computer program product are described that provide a visual transition from an origin screen to a destination screen by applying a graphical effect to the origin screen based on a user input that is received. The graphical effect includes a translation aspect and a rotational aspect. The rotational aspect may have an angle of rotation that is defined based on characteristics of the input received, such as an initial or instantaneous position of receipt of the input or a speed of movement of the input. Thus, the graphical effect simulates a physical reaction of the origin screen to the input (for example, giving the appearance that the origin screen is a physical object that is reacting to the user input as an applied force in the real world).

Abstract: An image stabilization apparatus comprises a signal separation unit configured to separate a shake signal into a low frequency band and a high frequency band, a panning determination unit configured to determine, based on an output from the shake detection unit, whether a panning operation is performed, and a control unit configured to control a first image stabilization unit based on the high frequency band and control a second image stabilization unit based on the low frequency band, wherein the apparatus has a first mode in which if the panning determination unit determines that a panning operation is performed, control is performed to make the second image stabilization unit approach a center of correction, and no control is performed to make the first image stabilization unit approach a center.

Abstract: Techniques to generate global tone-mapping operators (G-TMOs) that, when applied to high dynamic range images, visually approximate the use of spatially varying tone-mapping operators (SV-TMOs) are described. The disclosed G-TMOs provide substantially the same visual benefits as SV-TMOs but do not suffer from spatial artifacts such as halos and are, in addition, computationally efficient compared to SV-TMOs. In general, G-TMOs may be identified based on application of a SV-TMO to a down-sampled version of a full-resolution input image (e.g., a thumbnail). An optimized mapping between the SV-TMO's input and output constitutes the G-TMO. It has been unexpectedly discovered that when optimized (e.g., to minimize the error between the SV-TMO's input and output), G-TMOs so generated provide an excellent visual approximation to the SV-TMO (as applied to the full-resolution image).

Abstract: Systems, methods, and computer readable media to fuse digital images are described. In general, techniques are disclosed that use multi-band noise reduction techniques to represent input and reference images as pyramids. Once decomposed in this manner, images may be fused using novel low-level (noise dependent) similarity measures. In some implementations similarity measures may be based on intra-level comparisons between reference and input images. In other implementations, similarity measures may be based on inter-level comparisons. In still other implementations, mid-level semantic features such as black-level may be used to inform the similarity measure. In yet other implementations, high-level semantic features such as color or a specified type of region (e.g., moving, stationary, or having a face or other specified shape) may be used to inform the similarity measure.

Abstract: An image processing apparatus includes a gain calculation unit that calculates a gain for each of a plurality of pixels of an image signal, respectively, and an addition unit that adds the gain for each pixel to the corresponding pixel of the plurality of pixels of the image signal. The gain calculation unit includes a first order differential operation unit that calculates a first value from first order differential of the image signal for each of the plurality of pixels and second order differential operation unit that calculates a second value from a second order differential of the image signal for each of the plurality of pixels, and calculates the gains for each pixel based on the first and second values for each pixel.

Abstract: A image manipulation technique allows a user to correct an image using samples obtained from other images. These samples may be obtained from one or more other images in a library of images. Matching techniques may identify an image that best matches the image to be corrected, or may aggregate or average multiple images that are identified as containing an area corresponding to the area to be corrected. Identification of the image or images to use as the source of the samples may be automatic or manual. The images may be from a library of images under the control of the user or from a library of images maintained by another person or service provider. Application of the samples to correct the image may be manually or automatically directed.

Abstract: A filter coefficient calculation portion detects a maximum and a minimum of a pixel-basis deformation factor representing the degree of deformation due to trapezoidal distortion and calculates filter coefficients corresponding to a plurality of deformation factors in accordance with the range of the deformation factors (minimum to maximum). The filter coefficients are corrected by multiplying the calculated filter coefficients by a luminance correction coefficient for correcting luminance deviation due to the trapezoidal distortion, and the corrected filter coefficients are stored in a filter coefficient storage portion. A deformation factor calculation portion calculates the deformation factor in a pixel to be processed by a filter operation portion, and the filter operation portion reads the filter coefficient corresponding to the deformation factor calculated by the deformation factor calculation portion from a filter coefficient storage portion. The filter operation portion then performs filtering.

Abstract: Methods and systems may provide for receiving an input image having an input pixel density and defining a single filter based on a sub-pixel modification value, wherein the single filter has a working lattice density that is greater than the input pixel density. Additionally, the single filter and the input image may be used to generate an output image. In one example, defining the single filter includes converting the input pixel density to the working lattice density at an aperture level of the single filter.

Abstract: An image processing device that performs image processing on a composite image obtained by merging a first image and a second image having different exposure conditions. A data acquiring unit acquires the composite image and region data indicating a target region of the composite image. A image processing unit performs different image processes between the target region and a region other than the target region based on the region data. The images include a region on which a moving subject is rendered. In the region on which the moving subject is rendered, the composite image is generated by using a pixel value of one of the first image and the second image. The region data represents one or a plurality of regions generated based on the region of the composite image, on which the moving subject is rendered, as the target region.

Abstract: A computer program product includes instructions for a processor to perform a method of improving image structure and coherence, and/or for simplification/stylization. The method includes inputting the image, by: scanning the image; image capture using a camera; and/or image creation using a computer. Multi-channel images are converted into a single-channel image, which is separated into a first image component—the high spatial frequencies, and a second component image—the low spatial frequencies. The first and second component images are each formed by filtering to remove frequencies outside of respective upper and lower threshold frequencies. A gain multiplier is applied to the filtered first and second component images to control detail amplification. The first and second component images are each blurred at the respective upper and lower threshold frequencies.

Abstract: A system for three-dimensional inspection of leads mounted on an integrated circuit device includes an integrated circuit device, a first light source having a first color, a second light source having a second color different from the first color, a RGB color camera and a processor. The first light source is disposed at an acute angle to the integrated circuit device, and is configured to illuminate the leads such that lead shadows are created in a first color plane. The second light source is disposed in front of a surface of the integrated circuit device on which the leads are mounted, and is configured to illuminate the leads in a second color plane. The camera is configured to image the illuminated leads and lead shadows. The processor is configured to analyze the first and second color planes of a single image to detect three-dimensional bent leads.

Abstract: A programmable digital machine vision inspection system is disclosed having a programmable automatic feeding system that supplies elements to be inspected, a programmable robot system, a programmable inspection system, a qualified product receiving container, and an unqualified product receiving container. The programmable robot system has a first vision system with an inspection area, and a robot that grips the supplied element and moves the gripped element to and from the inspection area. The programmable inspection system has a second vision system that identifies features of the elements in the inspection area, and determines whether the element is a qualified product based on the identified features. The qualified product receiving container receives identified qualified products from the robot, and the unqualified product receiving container that receives identified unqualified products from the robot.

Abstract: Apparatus, system and method for detecting defects in an adhesion area that includes an adhesive mixed with a fluorescent material. One or more illumination devices may illuminate the fluorescent material in the adhesion area with a light of a predetermined wavelength. A camera may be configured to capture an image of the illuminated adhesion area. A processing device, communicatively coupled to the camera, may be configured to process the captured image by applying one or more boundary areas to the captured image and determining an image characteristic within each of the boundary areas, wherein the image characteristic is used by the processing device to determine the presence of a defect in the adhesive, such as an excess of adhesive or an insufficient application of adhesive.

Abstract: In a mask inspection apparatus, an optical image acquisition unit acquires an optical image of a pattern in a mask by irradiating light. A reference image generation unit generates a corresponding reference image. A defect detection unit detects a defect of the pattern by comparing the two images. A misplacement data processing unit obtains a misplacement amount of the pattern from the images, and generates misplacement data. A misplacement map processing unit generates and outputs the map to the defect detection unit. The defect detection unit includes, a first comparison unit for comparing the images, a threshold value reconfiguring unit for specifying a portion of the map corresponding to the defect detected, reconfiguring a threshold value according to the shape of the defect and the misplacement direction of the optical image of the specified portion, and a second comparison unit for re-comparing both images using the reconfigured threshold value.

Abstract: A computer implemented method for determining the 3-dimensional shape of an implant to be implanted into a subject includes obtaining a computer readable image including a defective portion and a non-defective portion of tissue in the subject, superimposing on the image a shape to span the defective portion, and determining the 3-dimensional shape of the implant based on the shape that spans the defective portion.

Abstract: A system and method for validating the accuracy of delineated contours in computerized imaging using statistical data for generating assessment criterion that define acceptable tolerances for delineated contours, with the statistical data being conditionally updated and/or refined between individual processes for validating delineated contours to thereby adjust the tolerances defined by the assessment criterion in the stored statistical data, such that the stored statistical data is more closely representative of a target population. The present invention may be used to facilitate, as one example, on-line adaptive radiation therapy.

Abstract: According to one embodiment, at least a portion of medical information of a patient is displayed within MRCS executed within a local device, the medical information including medical treatment history of the patient. At least a portion of the displayed medical information of the patient is transmitted to a medical imaging processing server over a network, where the transmitted medical information includes a patient identifier (ID) of the patient. Both the at least a portion of patient medical information and one or more medical images are displayed within the MRCS, where the medical images are associated with the patient and rendered by the medical image processing server. A set of icons representing a set of image processing tools is displayed within the MRCS, which when activated by a user, allow an image to be manipulated by the imaging processing server.

Abstract: A method is described for automatic recognition of anatomical structures in images obtained by position emission tomography, comprising the steps of: acquiring a 3D matrix of standardized uptake values, SUVs, associated with a plurality of PET pixels in an anatomic volume of patient; calculating the Jacobian matrix of the matrix of standardized uptake values, SUVs, projections, in a predetermined anatomical direction, of the matrix of standardized uptake values, SUVs, or of its Jacobian matrix on an anatomic reference plane; locating a two-dimensional minimum of the matrix of standardized uptake values, SUVs, or of its Jacobian matrix, projected on the anatomic reference plane; locating a one-dimensional minimum in the anatomic direction of projection, corresponding to the coordinates of the two-dimensional minimum located on the reference anatomic plane of projection; and determining a center of gravity of the anatomical structure according to the coordinates of said two-dimensional and one-dimensional minim

Abstract: The present invention provides a system and method to align and merge differently exposed digital images to create a HDR image. In the present system, all the modules starting from the receiving module to fusion module are configured to produce a HDR image with better color purity and sharpness. Each captured image in the system is configured to operate in the HSI color space. The alignment module is configured to align the pixels of each image in a pyramid shaped resolution structure to derive alignment vectors for one or more regional partitions of each image across one or more levels of the pyramid. The system is configured such that, the saturation component in the HSI color space is used to pick the color purity of pixels and intensity channel is used to weigh the sharpness of pixels of each of the differently exposed captured images.

Abstract: Disclosed is a sampling method for estimating a homography matrix. This sampling method, for estimating a homography matrix that represents conversion correlations between pluralities of images by means of Constraint Satisfaction-Random Sample Consensus (CS-RANSAC), includes the steps of: sampling to divide an input image into a form of grids (N by N), select features, which are used for calculating a homography matrix, from features, which are abstracted from the input image, by means of a random sampling, and inspect whether the features selected by the random sampling satisfy predefined constraints; and executing model estimation to calculate the homography matrix from the features only if the selected features satisfy the constraints.

Abstract: Techniques are described for stochastic rasterization. A graphics processing unit (GPU) may discard samples of bounding polygons that together indicate movement of one or more primitives before a pixel shader process the samples. The GPU may leverage a stencil buffer and stencil test for discarding of such samples.

Abstract: A system for pothole detection comprises an input interface configured to receive sensor data and a pothole detector configured to determine a pothole based at least in part on the sensor data; and store pothole data associated with the pothole, wherein the pothole data comprises a pothole video.

Abstract: A system of active fiducial markers for pose calculation of head mounted displays is described in which information is exchanged among said markers for the purpose of synchronization. Fiducial patterns are made more easily identifiable by selective duty cycles of sub groups of synchronized emitters and means is described to propagate pose information among markers.

Abstract: A position detection device obtains image coordinate groups representing a coordinate of a target object in each acquired image having first and second acquired image groups. The first acquired image group has acquired images obtained at an image acquiring timing in a reference period. The second acquired image group has acquired images obtained at an image acquiring timing in the reference period, which is delayed from the image acquiring timing of the first acquired image group by an asynchronous time. The device performs a Fourier transformation of each of a first locus and a second locus, and calculates a first frequency waveform based on the first locus and a second frequency waveform based on the second locus. The device calculates a position of the target object based on a relationship in which the frequency waveforms are delayed relative to each other by a phase corresponding to the asynchronous time.

Abstract: A method of sensing depth using an RGB camera. In an example method, a color image of a scene is received from an RGB camera. The color image is applied to a trained machine learning component which uses features of the image elements to assign all or some of the image elements a depth value which represents the distance between the surface depicted by the image element and the RGB camera. In various examples, the machine learning component comprises one or more entangled geodesic random decision forests.

Abstract: The surface normal information producing apparatus acquires, as captured images of an object, multiple first images in which light source positions relative to the object are mutually different and three or more second images in which polarization states are mutually different, and performs area division of a surface of the object depending on at least one of luminance information that changes corresponding to the light source positions acquired from the first images and polarization information acquired from the second images. The apparatus selects, for each divided area obtained by the area division, information to be used in production of surface normal information from information relating to change of the luminance information corresponding to the light source positions and the polarization information to produce the surface normal information.

Abstract: One or more signals are used to identify regions of interest of an image. The signals are applied to the image to generate one or more models that are based on the regions of interest. The models may present different perspectives of the image by emphasizing various features and focal points. The models may be ranked and displayed according to a scoring paradigm that is based on one or more signals. Multi-tiered feedback mechanisms allow for the collection of user intent and/or other forms of explicit input. Feedback associated to the models may be obtained and used to generate additional models that are based on one or more signals and the feedback. The feedback may also be stored and utilized for machine learning purposes.

Abstract: A video compression framework based on parametric object and background compression is proposed. At the encoder, an object is detected and frames are segmented into regions corresponding to the foreground object and the background. The encoder generates object motion and appearance parameters. The motion or warping parameters may include at least two parameters for object translation; two parameters for object scaling in two primary axes and one object orientation parameter indicating a rotation of the object. Particle filtering may be employed to generate the object motion parameters. The proposed methodology is the formalization of the concept and usability for perceptual quality scalability layer for Region(s) of Interest. A coded video sequence format is proposed which aims at “network friendly” video representation supporting appearance and generalized motion of object(s).

Abstract: A novel method of using optical flow algorithm that maximizes the benefit of optical flow synthetic frames while minimizing the associated computation cost is provided. When using optical flow to produce synthetic frames between two actual/recorded frames, the method computes a set of estimates of optical flows (or a flow estimate) between the two frames. These flow estimates are then used to compute all synthetic frames that are needed between the two actual frames by interpolation, which creates each synthetic frame based on its temporal distances from the pair of actual frames.

Abstract: Techniques for an image-based analysis of a geological thin section include (i) acquiring a plurality of images from a geological thin section of a rock sample from a subterranean zone; (ii) manipulating the plurality of images to derive a composite image; (iii) optimizing the composite image to derive a seed image; (iv) identifying, in the seed image, a particular seed pixel of a plurality of contiguous pixels that comprise an image of a grain of a plurality of grains of the rock sample in the seed image; (v) determining, with a specified algorithm, a shape of the grain based on the seed pixel; (vi) determining, based on the shape of the grain, a size of the grain; and (vii) preparing the determination of the size of the grain for presentation to a user.

Abstract: A method and a signal processor for receiving a data stream comprising at least two distinct sets of encoded data, at least one set of which is relative to transient/stochastic components of a signal. Based at least in part on the distinct sets of encoded data, the signal processor decodes and reconstructs a corresponding rendition of signal for each set of the encoded data. The distinct sets of renditions of signal are then combined into a single rendition of reconstructed signal.

Abstract: Technologies are generally described for systems and methods effective to detect an alteration in augmented reality. A processor may receive a real image that corresponds to a real object and may receive augmented reality instructions to generate a virtual object. The processor may determine that the virtual object at least partially obscures the real object when the virtual object is rendered on a display. The processor may, upon determining that the virtual object at least partially obscures the real object when the virtual object is rendered on the display, simulate an activity on the real object to produce a first activity simulation and simulate the activity on the virtual object to produce a second activity simulation. The processor may determine a difference between the first and the second activity simulation and modify the augmented reality instructions to generate a modified virtual object in response to the determination of the difference.