Abstract: Exemplary method, system, and computer-accessible medium can be provided for determining a measure of diffusional kurtosis by receiving data relating to at least one diffusion weighted image, and determining a measure of a diffusional kurtosis as a function of the received data using a closed form solution procedure. In accordance with certain exemplary embodiments of the present disclosure, provided herein are computer-accessible medium, systems and methods for, e.g., imaging in an MRI system, and, more particularly for facilitating estimation of tensors and tensor-derived measures in diffusional kurtosis imaging (DKI). For example, DKI can facilitate a characterization of non-Gaussian diffusion of water molecules in biological tissues. The diffusion and kurtosis tensors parameterizing the DKI model can typically be estimated via unconstrained least squares (LS) methods.

Abstract: Techniques for identifying prohibited information within an image are described. For example, a machine accesses an image that depicts an item. The image may include prohibited information that is disallowed in accordance with a policy. The machine identifies the prohibited information within the image based on an analysis of the image. The machine initiates a response to the prohibited information based on the identifying of the prohibited information within the image.

Abstract: Graph embedding is incorporated into nonnegative matrix factorization, NMF, while using the original formulation of graph embedding. Negative values are permitted in the definition of graph embedding without violating the nonnegative requirement of NMF. The factorized matrices of NMF are found by an iterative process.

Abstract: A system and method includes obtaining an address of a structure, obtaining picture of objects in the structure with a networked mobile device, deriving identification information from the pictures, using the identification information to obtain energy usage information from databases, and generating an energy audit based on the objects and energy usage information.

Abstract: A system is provided to correlate a medication package with a prescribed medication for a patient. The medication package accommodates an intended patient medication. The system includes an optical imager adapted to read an encoded symbol character comprising encoded patient information and further adapted to image an attribute of the medication package. The optical imager comprises a two-dimensional image sensor array and an imaging lens for focusing an image on the two-dimensional image sensor array. The two-dimensional image sensor array has a plurality of pixels formed in a plurality of rows and columns of pixels. The optical imager further includes a digital link to transmit a segment of data. The segment of data includes the patient information encoded in the encoded symbol character and the attribute of the medication package.

Abstract: A method and system for mapping colors of an image. The method including the steps of: segmenting an image into a plurality of regions, so that pixels in each of the plurality of regions have a characteristic that meets a predetermined similarity; determining an initial contrast between adjacent regions in the plurality of regions; and transforming an initial color of each of the plurality of regions into a target color; where a target contrast between the adjacent regions in the plurality of regions is equal to or greater than the initial contrast or a difference between the target contrast and corresponding initial contrast is less than a predetermined threshold; and where at least one of the steps is carried out by a computer device.

Abstract: An image is obtained of an identifying object that is on a printed document. A forensic signature is extracted from the image. Access to the extracted forensic signature profile is enabled via information encoded in the identifying object. The identifying object may be interpreted to access the forensic signature for comparison with another.

Abstract: An apparatus and method for estimating the number of objects in an input image are disclosed. The apparatus includes: a learning unit that calculates counted values of a linear regression function by learning an arbitrary image; a separation unit that separates a foreground region and a background region of the input image; an extraction unit that searches for features that require an amount of calculation that is below a particular threshold from features having high correlation with each other feature and extracts the features from the separated foreground region; and an estimation unit that estimates the number of objects in the foreground region as a dependent variable by allocating the counted values of the linear regression function that are calculated by the learning unit and the features that are extracted by the extraction unit as independent variables of a linear regression function.

Abstract: A digital image of the object is captured and the object is recognized from plurality of objects in a database. An information address corresponding to the object is then used to access information and initiate communication pertinent to the object.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for labeling images. In one aspect, a method includes automatically identifying an object in an image using a deep model-based and data-driven hybrid architecture.

Abstract: An image processing apparatus includes an instruction unit for designating one of a plurality of partial images and instructing execution of one of a plurality of processes for a classification process to determine whether the designated partial image contains a specific pattern, an execution unit for performing the instructed process for the designated partial image using parameters, and a determination unit for determining whether the classification process for the designated partial image has terminated. When the determination unit determines that the classification process has not terminated for at least one of the partial images, the instruction unit designates one of the partial images for which the classification process has not terminated and outputs a re-instruction for execution of an unexecuted process for the designated partial image. The execution unit executes, using different parameters, the instructed process for the designated partial image.

Abstract: An information processing apparatus comprising a setting unit configured to set a plurality of local regions on an image; an extraction unit configured to extract feature amounts from the respective local regions; a calculation unit configured to calculate dissimilarities between the local regions based on probability densities for the respective feature amounts; and an integration unit configured to integrate the plurality of local regions as region groups based on the dissimilarities.

Abstract: Embodiments of a computer system, a method and a computer-program product (e.g., software) for use with the computer system are described. These embodiments allow a user to provide an image of a document for use with software, such as an image of a financial document for use with financial software. In particular, the user can provide the image of the document, for example, by taking a picture of the document using a cellular telephone. This image may be converted into an electronic format that is suitable for text and numerical processing using a character-recognition technique, such as optical character recognition or intelligent character recognition. Errors in the electronic version of the document, if present, may be identified and corrected by comparing the electronic version to information maintained by a third party. This information may be accessed based at least on one or more items in the electronic version of the document.

Abstract: An image processing apparatus includes: a noise position information obtaining unit that obtains noise position information regarding positions of noise in an image read by a reading unit that optically reads a surface of a medium, an image generating unit that generates a noise eliminated image that is obtained by eliminating a noise from the image, a pattern information obtaining unit that obtains pattern information indicating a pattern appearing on the surface of the medium from the noise eliminated image, and a pattern information registering unit that registers the pattern information obtained from areas set on the basis of the noise position information in the noise eliminated image.

Abstract: A method for detecting presence of a hand gesture in video frames includes receiving video frames having an original resolution, downscaling the received video frames into video frames having a lower resolution, and detecting a motion corresponding to the predefined hand gesture in the downscaled video frames based on temporal motion information in the downscaled video frames. The method also includes detecting a hand shape corresponding to the predefined hand gesture in a candidate search window within one of the downscaled video frames using a binary classifier. The candidate search window corresponds to a motion region containing the detected motion. The method further includes determining whether the received video frames contain the predefined hand gesture based on the hand shape detection.

Abstract: Disclosed are various embodiments for performing an analysis on images of a product packaging. Capture of at least one image of at least one side of a packaging in initiated. An image analysis is performed on the at least one image. Product attributes are detected based at least upon the at least one image analysis and associated with the product in a data store.

Abstract: Methods and apparatus for directional texture generation using image warping. An image warping directional texture generation method may, for example, be used to design hair or hairstyles. The method may obtain one or more user strokes via a provided brush or other user interface element to paint directional texture, such as hair, onto a target image. Primitives, such as strands, wisps, partings, etc., may be used to paint the directional texture. After the user applies a stroke to paint a primitive or a portion of a primitive onto the target image, the primitive may be automatically adjusted to fit the primitive to the stroke, handle distortion artifacts, and blend the primitive into the existing image. The user may continue to apply strokes until satisfied with the overall result.

Abstract: Embodiments include an apparatus, device, system, and method. In an embodiment, a human wearable apparatus is provided. The apparatus includes an annotation environment capture device operable to generate information indicative of a recognizable aspect of an item and an annotating device operable to generate information indicative of a user expression associated with the recognizable aspect of the item.

Abstract: Feature analysis on consecutive tissue sections (FACTS) includes obtaining a plurality of consecutive tissue sections from a tissue sample, staining the sections with at least one biomarker, obtaining a digital image thereof, and identifying one or more regions of interest within a middle of the consecutive tissue sections. The digital images of the consecutive tissue sections are registered for alignment and the one or more regions of interest are transferred from the image of the middle section to the images of the adjacent sections. Each image of the consecutive tissue sections is then analyzed and scored as appropriate. Using FACTS methods, pathologist time for annotation is reduced to a single slide. Optionally, multiple middle sections may be annotated for regions of interest and transferred accordingly.

Abstract: A reader device for identifying a label associated with a section of a printed publication and presenting first information adjusted for the section. The device comprises a sensing unit for reading a unique machine-readable representation of the first information from the label, a voice recognition unit for intercepting a voice message having a related audio signature associated with second information, a processing unit for identifying the first information according to the representation and the second information according to the related audio signature, and a presentation unit configured for presenting the first and second information.

Abstract: A timing control apparatus includes: an extraction unit that outputs an input timing signal of an image signal; an input timing switch unit that selects whether to output the input timing signal output from the extraction unit or to input an external input timing signal; an input timing delay addition unit capable of adding delay information to the input timing signal output from the extraction unit; a reference timing generation unit that generates a reference timing signal from the input timing signal; a reference timing switch unit that selects whether to output the reference timing signal or to input an external reference timing signal; and an individual timing generation unit that generates, from the reference timing signal, a video processing timing signal and an output timing signal.

Abstract: An apparatus that detects the presence of a constituent such as fog affecting a view of space which is present ahead of a vehicle, the constituent resulting from a natural phenomenon in the space is provided. In this apparatus, the determination of whether the presence of the element is determined based on an image that captured by a vehicle-mounted camera and in which a picture of a high-luminance obstacle located on a road over which the vehicle is traveling is masked.

Abstract: A digital image processing apparatus recognizes an image of a firework and performs image quality processing on the image. The digital image processing apparatus for recognizing a firework may include a digital signal processor (DSP) that recognizes a firework in a scene recognition mode based on data regarding luminance and size of flames of the firework of a live view image including at least two consecutively input frames, and that performs image quality processing on the live view image.

Abstract: A character recognition accuracy from an image in which a graphic code and at least one character are in a given positional relationship is improved. An image acquisition section (20) acquires the image including the graphic code and the at least one character positioned outside the graphic code, which are in the given positional relationship. A deformation rule identification section (26) identifies a deformation rule for deforming the graphic code, which is included in the image acquired by the image acquisition section (20), to a graphic of a known type. A deformation processing execution section (28) executes, on the at least one character included in the image acquired by the image acquisition section (20), deformation processing based on the deformation rule identified by the deformation rule identification section (26).

Abstract: An image processing apparatus, includes: a transforming area setter, operable to set at least a part of an area of a target image as a transforming area; a transforming area divider, operable to arrange a plurality of dividing points in the transforming area and to divide the transforming area into a plurality of small areas by using a line connecting the dividing points; and a transforming processor, operable to move a position of at least one of the dividing points to transform at least one of the small areas, thereby transforming an image in the transforming area.

Abstract: Techniques for performing accurate and automatic head pose estimation are disclosed. According to one aspect of the techniques, head pose estimation is integrated with a scale-invariant head tracking method along with facial features detected from a located head in images. Thus the head pose estimation works efficiently even when there are large translational movements resulting from the head motion. Various computation techniques are used to optimize the process of estimation so that the head pose estimation can be applied to control one or more objects in a virtual environment and virtual character gaze control.

Abstract: Automatic identification of media content is at least partially based upon visually capturing a still or video image of media content being presented to a user via another device. The media content can be further refined by determining location of the user, capturing an audio portion of the media content, date and time of the capture, or profile/behavioral characteristics of the user. Identifying the media content can require (1) distinguishing a rectangular illumination the corresponds to a video display; (2) decoding a watermark presented within the displayed image/video; (3) characterizing the presentation sufficiently for determining a particular time stamp or portion of a program; and (4) determining user setting preferences for viewing the program (e.g., close captioning, aspect ratio, language). Thus identified, the media content appropriately formatted can be received for continued presentation on a user interface of the mobile device.

Abstract: A method of controlling a robot using a human-robot interface apparatus in two-way wireless communication with the robot includes displaying on a display interface a two-dimensional image, an object recognition support tool library, and an action support tool library. The method further includes receiving a selected object image representing a target object, comparing the selected object image with a plurality of registered object shape patterns, and automatically recognizing a registered object shape pattern associated with the target object if the target object is registered with the human-robot interface. The registered object shape pattern may be displayed on the display interface, and a selected object manipulation pattern selected from the action support tool library may be received. Control signals may be transmitted to the robot from the human-robot interface. Embodiments may also include human-robot apparatuses (HRI) programmed to remotely control a robot.

Abstract: A phishing detecting method includes: a web-page accessing request for accessing a target web page at a target address is received; the target web page from the target address is obtained; the target web page is snapshotted to obtain a present page snapshot; the present page snapshot is compared with several pre-stored page snapshots stored in a database, wherein each of the pre-stored page snapshots corresponds to a pre-stored address; if the present page snapshot matches one of the pre-stored page snapshots, the target address is compared with the pre-stored address, corresponding pre-stored page snapshot of which matches the present page snapshot; if the target address does not match the pre-stored address, the corresponding pre-stored page snapshot of which matches the present page snapshot, it is determined that the target web page is a phishing web page.

Abstract: A method of retrieving information comprised in a barcode is disclosed. The method comprises detecting that the barcode is present in a first image having a first image quality and capturing a first region, acquiring, when it is detected that the barcode is present, a second image having a second image quality and capturing a second region, wherein the second image quality is higher than the first image quality, and wherein the second region at least partly overlaps the first region, and decoding the barcode based on the second image to retrieve the information. A corresponding program product and a corresponding arrangement are also disclosed along with a communication device comprising the arrangement.

Abstract: Techniques for calibrating a classification system, wherein one or more objects in at least one video are classified, are provided. At least one view associated with the at least one video is obtained. The at least one view is partitioned into at least one region. A given object is classified in accordance with its location in reference to the at least one region. In an additional embodiment, one or more object models are obtained. At least one normalized size of the one or more objects is defined within at least one view associated with the at least one video in accordance with the one or more object models. The one or more objects are classified in accordance with the at least one defined normalized size.

Abstract: A system and a method are provided for labeling images and for generating an annotation system. The labeling method includes providing a graphical structure, such as a tree structure, which graphically represents predictive correlations between labels in a set of labels. The predictive correlations can, for example, estimate the likelihood, in a training set, that knowing one label has a given value, another label will have a given value. An image to be labeled is received. Feature-based predictions for values of labels in the set of labels are computed for the image. A value for at least one label for the image from the set of labels is computed based on the feature-based label predictions and inference on the structured prediction model.

Abstract: The disclosed embodiments relate to a system that recognizes a personal object in an image and facilitates providing a related financial service. During operation, the system receives an image of an object associated with a user, where the image includes environmental features associated with the user. Next, the system extracts content from the image by processing the image (and the included environmental features) using an image-processing technique. The system then associates the extracted content with information in a pre-existing data structure, where the pre-existing data structure includes financial information associated with the object. Next, the system facilitates a financial service associated with the object based on the information. For example, the system may generate an insurance appraisal for the object based on the information.

Abstract: A method of identifying individual silicon substrates, and particularly solar cells, is disclosed. Every solar cell possesses a unique set of optical properties. The method identifies these properties and stores them in a database, where they can be associated to a particular solar cell. Unlike conventional tracking techniques, the present method requires no dedicated space on the surface of the silicon substrate. This method allows substrates to be tracked through the manufacturing process, as well as throughout the life of the substrate.

Abstract: An animation processor comprises a processor, an instruction memory, a working memory, inputs and outputs, and an input for receiving an input animation sequence comprising a plurality of time-sequenced frames, storage for a style image pair, comprising an input style image and an output style image, wherein differences between the input style image and an output style image convey a style for drawings and other visual elements, logic for generating set of time-varying orientation fields, logic for rendering velocity fields for the sequences, and an output for outputting an output animation sequence that takes on the style specified by the style image pair, with the output animation sequence having temporal coherence.

Abstract: The present invention is related to systems and methods for translating language text on a mobile camera device offline without access to the Internet. More specifically, the present invention relates to systems and methods for displaying text of a first language and a translation of the first language text into a second language text which is displayed in real time in augmented reality on the mobile device. The processing can use a single line or a multiline algorithm designed with a plurality of processing innovations to insure accurate real-time translations without motion jitter. The invention may be used to help travelers in a foreign country with difficulties in reading and understanding text written in the local language of that country. The present invention may be utilized with wearable computers or glasses, producing seamless augmented reality foreign language translations. Some embodiments are particularly useful in translations from Asian languages to English.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing queries made up of images. In one aspect, a method includes indexing images by image descriptors. The method further includes associating descriptive n-grams with the images. In another aspect, a method includes receiving a query, identifying text describing the query, and performing a search according to the text identified for the query.

Abstract: An image forming apparatus and a document management method thereof. A document management method of an image forming apparatus which includes an image scanner to scan a document and generate a scanned image, the method includes generating the scanned image by scanning a document including a bar code, determining whether to perform an optical character recognition (OCR) on the scanned image by using bar code information of the generated scanned image, extracting character information of the document by performing the OCR with respect to the scanned image according to the determination result, and setting a file name by using at least one of the bar code information and the extracted character information and storing the scanned image. The apparatus and method set a file name of a scanned document to identify the document without an additional input.

Abstract: Provided are a system and method of controlling an in-vehicle device using augmented reality. A system for controlling an in-vehicle device using augmented reality includes a mobile device configured to identify a vehicle object unit as an image and receive a vehicle control command through implementation of the augmented reality of the image, and a driving control unit configured to transmit a vehicle type information to the mobile device and, upon receiving a command signal from the mobile device, to control the in-vehicle device that corresponds to the command signal. Accordingly, by remotely controlling an in-vehicle device by using augmented reality of a mobile device, user convenience may be improved.

Abstract: The present invention provides a method of inputting characters into a handheld device, comprising steps of: reading handwriting information; recognizing said handwriting information in one active recognition mode and at least one inactive recognition mode; displaying at least one character candidate obtained in said active recognition mode and at least one character candidate obtained in said at least one inactive recognition mode; and inputting into said handheld device a desired character candidate selected by a user among said character candidates being displayed. The present invention also provides a corresponding apparatus for inputting characters into a handheld device, and a related handheld device. A user no longer needs to designate handwriting recognition modes, and recognition accuracy is greatly improved.

Abstract: Embodiments of this invention relate to detecting and blurring images. In an embodiment, a system detects objects in a photographic image. The system includes an object detector module configured to detect regions of the photographic image that include objects of a particular type at least based on the content of the photographic image. The system further includes a false positive detector module configured to determine whether each region detected by the object detector module includes an object of the particular type at least based on information about the context in which the photographic image was taken.

Abstract: According to one embodiment, a pattern inspection apparatus includes a first inspection data creation section, a first delay section, a first recognition section, a first extraction section, a first and a second level difference calculation section, a first and a second determination section, and a first logic OR calculation section. The first extraction section extracts data of a sub-resolution pattern from the first inspection data and the first delay data. The first and second level difference calculation section calculate differences between an average output level of a surrounding region for a target pixel of the extracted data from the first inspection data or the first delay data and an output level of the extracted data. The first and second determination sections determine presence or absence of a defect. The first logic OR calculation section calculates logic OR of determination results of the first and second determination sections.

Abstract: A method of detecting streaks in printed documents comprises, with an imaging device, capturing an image of a printed document, transmitting the image data representing the printed document to a computing device, with the computing device, dividing the image data into a number of rectangles horizontally across the image data so that the rectangles overlap in the horizontal direction, and with the computing device, determining if a rectangle comprises a streak. A system for detecting and evaluating streaks in printed document comprises a printing device that prints a document based on image data received from a computing device, an imaging device that captures an image of the printed document, and a streak detector that detects streaks within the captured image of the printed document.

Abstract: An information processing device includes a first calculation unit which calculates a score of each sample image including a positive image in which an object as an identification object is present and a negative image in which the object as the identification object is not present, for each weak identifier of an identifier including a plurality of weak identifiers, a second calculation unit which calculates the number of scores when the negative image is processed, which are scores less than a minimum score among scores when the positive image is processed; and an realignment unit which realigns the weak identifiers in order from a weak identifier in which the number calculated by the second calculation unit is a maximum.

Abstract: Cell phones and other portable devices are equipped with a variety of technologies by which existing functionality can be improved, and new functionality can be provided. Some aspects relate to data driven imaging architectures, in which a cell phone's image sensor is one in a chain of stages that successively act on packetized instructions/data, to capture and later process imagery. Other aspects relate to distribution of processing tasks between the device and remote resources (“the cloud”). Elemental image processing, such as filtering and edge detection—and even some simpler template matching operations—may be performed on the cell phone. Other operations are referred out to remote service providers. The remote service providers can be identified using techniques such as a reverse auction, though which they compete for processing tasks. Other aspects of the disclosed technologies relate to visual search capabilities, and determining appropriate actions responsive to different image inputs.

Abstract: A system and method may include a processor that groups the glyphs of a document into font character models. OCR processing may be performed to identify the ASCII value of the font character models, with the results mapped to the glyphs contained with those models, thereby identifying the text of the original document. This results in fewer calls to an OCR engine, thereby providing a significant speedup. Further, when a model is assigned differing text values by the OCR engine, the system and method may identify the value most likely to be correct, thereby improving the accuracy of the output text.

Abstract: The present invention discloses a structure and a method for determining a defect in integrated circuit manufacturing process. Test keys are designed for the structure to be the interlaced arrays of grounded and floating conductive cylinders, and the microscopic image can be predicted to be an interlaced pattern of bright voltage contrast (BVC) and dark voltage contrast (DVC) signals for a charged particle beam imaging system. The system can detect the defects by comparing patterns of the detected VC signals and the predicted VC signals.

Abstract: Systems and methods for character recognition by performing lateral view-based analysis on the character data and generating a feature vector based on the lateral view-based analysis.

Abstract: A metadata extraction machine accesses an image that depicts an item and identifies an attribute of the item and a descriptor that specifies a value for the identified attribute. The machine identifies the attribute and the descriptor based on an analysis of the accessed image that includes distinguishing a foreground portion of the image from a background portion of the image. Distinguishing a foreground portion from the background portion may include segmenting the image to identify the foreground and background portions. Some or all of the analysis may be performed by the machine. The machine then stores the identified descriptor of the item as metadata of the item.

Abstract: A system and method for generating an m-dimensional signature vector in a computing device is provided. The signature vector may be generated from a plurality of key-value pairs, each comprising a unique identifier and an associated non-zero value. Each element of the m-dimensional signature vector is calculated based on a summation of a plurality of terms. Each of the terms is calculated from a respective key-value pair by generating a seed based on the key of the respective key-value pair and an element identifier associated with the vector element being calculated; generating a pseudo-random number from the generated seed; and multiplying the pseudo-random number by the value of the respective key-value pair, wherein m<<n.