Abstract: A file system configured to use tags to control operations on files stored in the system. Each tag is usable to tag one or more of the files stored in the system and/or one or more other tags in the system. Each tag identifies one or more privileges for a user of the tag to operate on tagged files. Tags are sharable in the system for use by various users, which may create tags, modify tags, share tags, apply tags to selected tags and/or files in the system, and follow chains of tagging to access tagged files. The chains of tagging may include loops/circles in a graph of tags in the system.

Abstract: In some embodiments, the present invention provides for a computer-implemented method, including: electronically receiving, first terminal data where the first terminal data includes at least one first alphanumerical data sequence; electronically generating at least one first computer-generated barcode; electronically storing the first terminal data and the at least one first computer-generated barcode in at least one database residing in a non-transient computer memory; automatically and electronically transmitting the at least one first computer-generated barcode to the at least one first terminal machine; electronically receiving second terminal data; automatically validating, in real-time, the user input as being representative of the user output.

Abstract: An approach is provided in which a cognitive digital security assistant intercepts a personal data request from a client that is requesting personal data from a user. The cognitive digital security assistant analyzes the personal data request against the user's security statements to determine whether to provide the user's personal data to the client. During the analysis, the cognitive digital security assistant determines whether the personal data request includes benefits that meet the user's benefit thresholds included in the user's security statements. When the benefits meet the user's benefit thresholds, the cognitive digital security assistant provides the requested personal data to the client in exchange for the benefit from the client.

Abstract: A method is provided, including establishing a plurality of context profiles for a user, at least one context profile is associated with: (i) subject areas pertinent to the at least one context profile (ii) permissions identifying respective third parties with which personal information can be shared when the at least one context profile is active; (iii) permissions identifying what personal information can be shared with respective third parties when the at least one context profile is active; (iv) permissions identifying respective third parties that are permitted to contact the user when the at least one context profile is active; and (v) permissions identifying how respective third parties may contact the user when the at least one context profile is active; when the at least one context profile is active, operating in one of two or more modes (e.g., a regular mode or a discovery mode).

Abstract: A system, method, and computer readable medium for verifying data integrity of documents involves adding a machine-readable stamp on a document generated by a device of a first user. The machine-readable stamp allows another user which receives a copy of the document to use another device to verify the integrity of data in the copy.

Abstract: Systems and methods allow a user to interact with an augmented reality device. In one implementation, a lockable, wearable device is provided. The wearable device comprises a display; at least one sensor configured to provide an output indicative of a viewing direction of a user; and at least one processing device. The at least one processing device is configured to track a pattern of the viewing direction of the user; and unlock the lockable, wearable device to provide the user with access to information on the display of the device when the tracked pattern of movement matches a predetermined pattern of movement.

Abstract: An apparatus includes a processor and a bus encryption unit. The processor is configured to communicate information over a secured data bus, and to communicate respective addresses over an address bus. The bus encryption unit is configured to generate an encryption key based on multiple addresses that appeared on the address bus, and to encrypt the information communicated between the processor and the secured data bus with the encryption key.

Abstract: The present invention relates to a method and system for tracking, issuing, and authenticating gear or articles, such as uniforms, badges, equipment, weapons, etc, for use in law enforcement or other official capacity. An authentication system retrieves encoded information read by a reader from a plurality of different markers. A database is queried to retrieve biometric data corresponding to each marker whereby the biometric data is displayed on a display. A uniform having a computer-readable marker visible under ultraviolet light and an additional marker. A system for issuing one of the articles by authenticating an officer and storing the identity and encoded information in a database. An apparatus for applying a plurality of markers by way of a conveyor belt conveying the article by an ink jet printer and a laser engraver.

Abstract: A working method of a multi-slot card reader based on the standard CCID protocol comprises: powering up to perform initialization, and establishing a connection with a host through a USB interface; when a USB configuration instruction is received, returning configuration information of the USB interface to the host; waiting to receive an instruction delivered by the host, when a flag bit of a reset is detected, determining the type of the flag bit of the reset, for example, if the flag bit is a contact card flag bit, recording, according to the type of a change of a card placement pin level of a current contact card slot, a corresponding state of the contact card slot, or for example, if the flag bit is a periodic flag bit, sending a card search instruction corresponding to a current non-contact card slot, and recording a corresponding state of the non-contact card slot; and if the flag bit is a USB flag bit, performing a corresponding operation on a current card slot according to the received instruction.

Abstract: A card reader includes a body, the body being configured for coupling with a device, the device including a device light sensor and a device light source; a reader light sensor that is configured to capture light being emitted from the device light source, wherein, when the body is coupled to the user device, the reader light sensor is positioned adjacent to the device light source; a reader light source that is configured to emit light to the device light sensor, wherein, when the body is coupled to the user device, the reader light source is positioned adjacent to the device light sensor; a reader interface positioned in the body and configured to read the card; and circuitry configured to communicate data between the card reader and the user device using the reader light sensor and the reader light source.

Abstract: A coded light device comprising a light source configured to emit coded light, an identifier detection unit configured to detect a product identifier, and a processing unit having a code generator configured to generate a product-related code on basis of the product identifier, and a light source controller configured to control the light source to emit the product-related code by coding its light output.

Abstract: A method for identifying a one- or two-dimensional barcode in input image data, the method comprising the steps of: obtaining first image data of a first image of the object, said first image being acquired using a first illumination wavelength; obtaining second image data of a second image of the object, said second image being acquired using a second illumination wavelength being different from said first illumination wavelength; calculating a weighting factor based on a statistical processing of pixel values of the first image data and pixel values of the second image data; and generating third image data by calculating a weighted combination using the pixel values of said first image data, the pixel values of said second image data, and said weighting factor.

Abstract: A semantic note taking system and method for collecting information, enriching the information, and/or binding the information to services is provided. User-created notes are enriched with labels, context traits, and relevant data to minimize friction in the note-taking process. In other words, the present invention is directed to collecting unscripted data, adding more meaning and use out of the data, and binding the data to services. Mutable and late-binding to services is also provided to allow private thoughts to be published to a myriad of different applications and services in a manner compatible with how thoughts are processed in the brain. User interfaces and semantic skins are also provided to derive meaning out of notes without requiring a great deal of user input. Linking physical objects to notes are also provided, such as through QR codes.

Abstract: A data determination device includes a plurality of determination units that determine, based on respective different criteria, whether each of plural pieces of data included in a sequence of read data of a barcode represents either a first value or a second value, the plural pieces of data being output from a read unit in response to an instruction for reading the barcode, and a selection unit that selects, from a plurality of determination results obtained by each determination unit for the plural pieces of data, a plurality of determination results obtained by one determination unit based on a selection condition preset in accordance with a standard of the barcode, and outputs the selected plurality of determination results to a source of the instruction for reading.

Abstract: Systems and methods for reducing the likelihood of false positive decodes within a set of barcodes are disclosed. The method can be implemented in a computing device, which includes: providing a list of barcode configurations that meet damage tolerance criteria; reducing, if possible, each configuration list to barcode configurations that have a compatible configuration pair between sets; and comparing all possible combinations of barcode type configurations to find at least one set of configurations that are resistant to false positives decodes between barcode types during decoding processes.

Abstract: Both pixel-oriented analysis and the more accurate yet slower object-oriented analysis are used to recognize patterns in images of stained cancer tissue. Images of tissue from other patients that are similar to tissue of a target patient are identified using the standard deviation of color in the images. Object-oriented segmentation is then used to segment small portions of the images of the other patients into object exhibiting object characteristics. Pixelwise descriptors associate each pixel in the remainder of the images with object characteristics based on the color of pixels at predetermined offsets from the characterized pixel. Pixels in the image of the target patient are assigned object characteristics without performing the slow segmentation of the image into objects. A pixel heat map is generated from the target image by assigning pixels the color corresponding to the object characteristic that the pixelwise descriptors indicate is most likely associated with each pixel.

Abstract: The subject disclosure presents systems and methods for separating colors in an image by automatically and adaptively adjusting reference vectors based on information specific to the assay being imaged, resulting in an optimized unmixing process that provides stain information that is physically and physiologically plausible. The reference vectors are optimized iteratively, based on minimizing non-negative color contributions, background contributions, high-frequencies in color channels specific to background or unwanted fluorescence, signals from known immunohistochemical markers, and pairs of stains known to carry physiologically independent information. Adjustments to the reference vectors may be allowed within a range that is predetermined based on measuring colors from multiple input images.

Abstract: A method for matching signatures based on motion signature information including acquiring a first signature and at least one second signature that are to be matched, wherein the first signature and the second signature are generated based on a motion object's motion signature information; and matching the first signature and the second signature based on the motion signature information to obtain a corresponding match result.

Abstract: A system and method for emotion detection and more specifically to an image-capture based system and method for detecting invisible and genuine emotions felt by an individual. The system provides a remote and non-invasive approach by which to detect invisible emotion with a high confidence. The system enables monitoring of hemoglobin concentration changes by optical imaging and related detection systems.

Abstract: Shape recognition is performed based on determining whether one or more ink strokes is not part of a shape or a partial shape. Ink strokes are divided into segments and the segments analyzed employing a relative angular distance histogram. The histogram analysis yields stable, incremental, and discriminating featurization results. Neural networks may also be employed along with the histogram analysis to determine complete shapes from partial shape entries and autocomplete suggestions provided to users for conversion of the shape into a known object.

Abstract: According to one embodiment, an electronic apparatus includes a receiver and circuitry. The receiver is configured to receive a first image including a handwritten character. The circuitry is configured to generate first stroke data corresponding to the handwritten character from the first image, acquire a first character code of a character including a stroke indicated by the first stroke data, acquire second stroke data corresponding to the first character code through a search using the first character code, and associate the first image and the second stroke data with each other.

Abstract: An optimal recognition for handwritten input based on receiving a touch input from a user may be selected by applying both a delayed stroke recognizer as well as an overlapping recognizer to the handwritten input. A score may be generated for both the delayed stroke recognition as well as the overlapping recognition and the recognition corresponding to the highest score may be presented as the overall recognition.

Abstract: Methods and systems for classifying a region of interest in an electronic document. A first region from the electronic document is extracted. The first region includes at least the region of interest. A first projection profile of pixels is determined in the region of interest. The first projection profile of pixels is indicative of a presence of a content in the region of interest. The region of interest is classified in at least one category based on a comparison of the first projection profile with a predetermined projection profile associated with the region of interest.

Abstract: The current application is directed to methods and systems that convert document images, which contain Arabic text and text in other languages in which symbols are joined together to produce continuous words and portions of words, into corresponding electronic documents. In one implementation, a document-image-processing method and system to which the current application is directed employs numerous techniques and features that render efficiently computable an otherwise intractable or impractical document-image-to-electronic-document conversion. These techniques and features include transformation of text-image morphemes and words into feature symbols with associated parameters, efficiently identifying similar morphemes and words in an electronic store of standard-feature-symbol-encoded morphemes and words, and identifying candidate inter-character division points and corresponding traversal paths using the similar morphemes and words identified in the word store.

Abstract: The present disclosure relates to systems and processes for providing vector map data for generating a view of a map in a mapping application. In one example process, a request for a vector map sub-tile can be received by a map server. The map server can identify a pre-generated vector map tile corresponding to the requested vector map sub-tile and can generate the requested vector map sub-tile from the identified vector map tile by dividing the vector map tile into two or more vector map sub-tiles. In some examples, dividing the vector map tile into multiple vector map sub-tiles can include identifying features and attributes of the vector map tile that should be included in the requested vector map sub-tile and generating the requested vector map sub-tile to include these features and attributes. The map server can then transmit the requested vector map sub-tile to the requesting electronic device.

Abstract: A digital imaging system for real-time searching for expressions that appear on a microform medium, the system comprising a computer including a processor, a display, a temporary memory, and a non-volatile memory, and a digital microform imaging apparatus including a controller and an area sensor generating a real-time digital microform image of the microform medium. The controller is in communication with the area sensor and receives the image. The controller is in communication with the processor and outputs the image to the processor that temporarily stores the image in the temporary memory. The processor uses the image output by the controller to drive the display with the image being generated by the area sensor in real-time. The processor searches the image used to drive the display for instances of a search expression, the processor visually distinguishing identified instances of the search expression on the display.

Abstract: A mobile platform visually detects and/or tracks a target that includes a dynamically changing portion, or otherwise undesirable portion, using a feature dataset for the target that excludes the undesirable portion. The feature dataset is created by providing an image of the target and identifying the undesirable portion of the target. The identification of the undesirable portion may be automatic or by user selection. An image mask is generated for the undesirable portion. The image mask is used to exclude the undesirable portion in the creation of the feature dataset for the target. For example, the image mask may be overlaid on the image and features are extracted only from unmasked areas of the image of the target. Alternatively, features may be extracted from all areas of the image and the image mask used to remove features extracted from the undesirable portion.

Abstract: A method and a system for a mobile terminal to achieve use interaction by simulating a real scene are disclosed. The method comprises: formulating a scene task for a 3D virtual scene; uploading the information of the 3D virtual scene and the scene task to a server to obtain a shared link; searching for and transmitting the shared link to nearby mobile terminals, sending an invitation and waiting for participation of the nearby mobile terminals; if the invitation is received by the nearby mobile terminals, then reading the information of the 3D virtual scene and the scene task and uploading corresponding personal information by the nearby mobile terminals; and changing locations of user roles in the 3D virtual scene according to positioning information of the mobile terminal, receiving a user operation instruction to make interactions via the user roles, and recording the user behaviors corresponding to the personal information.

Abstract: The digital comments of the viewers who posted comments on videos are used to determine a similarity measure between two video segments. The results include the two similar video segments and a video similarity score between the two video segments based on the social network of the viewers who commented on the video. One advantage is to be able to provide recommendations to viewers of videos, video creators, etc. The social network of the user asking to find the similarity of pairs of videos is not considered because only the social network of the viewers and commenters of a video segment is used as a source of digital comments.

Abstract: Depth camera-based human subject detecting includes receiving an image captured by a depth camera, converting the image, in a depth camera coordinate system, to an image in a real space coordinate system based on an angle and a position of the depth camera relative to at least one subject of the image, detecting at least one subject from the image in the real space coordinate system, calculating a distance from the depth camera to the at least one subject based on the image in the real space coordinate system and determining whether the at least one subject is a person using criteria that varies depending on the respective distance from the depth camera to the at least one subject.

Abstract: The present invention provides a trailer track estimation system by image recognition including: an image photographing unit which photographs a trailer which is connected to a rear side of a vehicle; a control unit which estimates a connection angle of the trailer using an image photographed by the image photographing unit; and a display unit which displays a value estimated by the control unit on a screen.

Abstract: In a lane boundary line information acquiring device, a detection unit detects lane boundary lines. A driving environment acquiring unit acquires a driving environment. A probability information acquiring unit acquires probability information containing a probability of presence of a lane boundary line, etc. based on the detected lane boundary lines and the acquired driving environment. A position information acquiring unit acquires position information of the own vehicle. A memory unit associates the probability information with the position information of the own vehicle. Where the position information is acquired by the position information acquiring unit at a time when the probability information acquiring unit acquires the probability information, and stores the probability information associated with the position information into the memory unit. A readout unit reads out the probability information associated with the position information at a location in front of the own vehicle.

Abstract: An approaching-object detection system detects an approaching object based on images captured by an imaging device. The approaching-object detection system comprises an extraction unit, a distortion correction unit, an object detection unit, and an approaching-object classification unit. The extraction unit extracts a partial image of one far side and a partial image of the other far side from each of the images. The distortion correction unit corrects distortion of the partial images. The object detection unit detects an object from the corrected partial images through pattern matching with reference to preinstalled image information on the object. The approaching-object classification unit classifies the detection result of the object detection unit as an approaching object or not.

Abstract: A machine may be configured as a vehicle identification machine to identify a model of a vehicle based on an image that depicts a dashboard of the vehicle. As configured, the machine may receive an image of the dashboard, where the image depicts a layout of instrumentation within the dashboard. The machine may identify the layout of instrumentation by processing the image. For example, the machine may process the image by determining a position of an instrument within the layout of instrumentation, determining an outline of instrument, or both. The machine may access a data record that correlates a model of the vehicle with the identified layout of instrumentation and, based on the data record, identify the model of the vehicle. The machine may then provide a notification that references the vehicle, references the identified model of the vehicle, or references both.

Abstract: Apparatus and method for performing accurate text recognition of non-simplistic images (e.g., images with clutter backgrounds, lighting variations, font variations, non-standard perspectives, and the like) may employ a machine-learning approach to identify a discriminative feature set selected from among features computed for a plurality of irregularly positioned, sized, and/or shaped (e.g., randomly selected) image sub-regions.

Abstract: A video analysis device (3), configured to receive video sequences of an environment within a field of view (8) of a camera (7), and to analyze the video sequences as regards behavior of persons present in the video sequences. The video analysis device is configured to determine a footprint (15) of at least one light source (9) illuminating an area within the field of view with coded light. The coded light carries a unique light source identification for each light source. Furthermore, the video analysis device is configured to receive association information associating at least one object (13) with the light source identification of each light source illuminating each object, and to determine an analysis area (17) within the field of view where said analysis of the video sequences is to be done. The determination is done for each object, and by means of the association information.

Abstract: A method, system, and device for analyzing images captured by a vehicle-based camera includes establishing a communication connection between a mobile communication device and an in-vehicle computing system. Scanning data may be retrieved from a scanning data server by the mobile communication device and, in some embodiments, forwarded to the in-vehicle computing system. A vehicle-base camera may be used to capture one or more images. An image analysis module of the in-vehicle computing system or mobile communication device may be used to analyze the captured image(s) for a match between the image(s) and the scanning data. In response to identifying a match, the mobile communication device may notify the scanning data server of the identified match.

Abstract: Various embodiments enable the identification of semi-structured text entities in an imager. The identification of the text entities is a relatively simple problem when the text is stored in a computer and free of errors, but much more challenging if the source is the output of an optical character recognition (OCR) engine from a natural scene image. Accordingly, output from an OCR engine is analyzed to isolate a character string indicative of a text entity. Each character of the string is then assigned to a character class to produce a character class string and the text entity of the string is identified based in part on a pattern of the character class string.

Abstract: A facility implementing systems and/or methods for creating statistically significant signatures for targets of interest and using those signatures to identify and locate targets of interest within image data, such as an array of pixels, captured still images, video data, etc., is described. Embodiments of the facility generate statistically significant signatures based at least in part on series approximations (e.g., Fourier Series, Gram-Charlier Series) of image data. The disclosed techniques allow for a high degree of confidence in identifying and tracking targets of interest within visual data and are highly tolerant of translation and rotation in identifying objects using the statistically significant signatures.

Abstract: One or more representative images extracted from an image group comprising a plurality of images is/are displayed. A part or all of the representative image or images, such as a main subject region or a background region including a search target, is/are selected from the representative image or images, and used for setting search conditions. The image group is searched for an image or images agreeing with the search conditions having been set.

Abstract: A gloss determination device includes: an image acquiring unit that acquires a parallelly polarized image obtained by photographing an object illuminated by first polarized light through a polarizing filter which passes a polarized component polarized in a same direction as a polarization direction of the first polarized light, and a perpendicularly polarized image obtained by photographing the object illuminated by second polarized light through a polarizing filter which passes a polarized component polarized in a perpendicular direction to the polarization direction of the second polarized light; a differential image producing unit that produces a differential image indicating differences in brightness between the parallelly polarized image and the perpendicularly polarized image; and a gloss determining unit that determines a gloss condition of the object based on the differential image.

Abstract: In order to produce an image processing filter by utilizing genetic programming, a taught parameter acquiring unit acquires a taught parameter indicating a feature shape in an input image before processing. A data processing unit creates an output image by processing the input image with an image processing filter, and subsequently a feature extracting unit extracts a detected parameter indicating a feature shape in the output image. An automatic configuring unit evaluates the image processing filter by calculating cosine similarity between the taught parameter and the detected parameter.

Abstract: Techniques for managing discussion sharing on a mobile platform, comprising a mobile discussions application. The mobile discussions application may include, among other components, a discussions imaging component for recognizing a ticket associated with a resource in a social networking system and a discussions management component for enabling a user having an associated user profile information to access the resource based at least partially on the ticket associated with the resource.

Abstract: Provided is an image evaluation device including an acquisition unit that acquires an image including plural patterns having different spatial frequencies and contrasts, and an output unit that compares each of plural patterns included in the image acquired by the acquisition unit with each of plural ideal patterns corresponding to the plural patterns, calculates similarities therebetween, and outputs an evaluation value for evaluating performance regarding a resolution of the image based on a sum of the calculated similarities of the plural patterns.

Abstract: A system, method, and computer program product for assigning an aesthetic score to an image. A method of the present invention includes receiving an image comprising a set of global features. The method includes extracting a set of global features for the image. The method further includes encoding the extracted set of global features into a high-dimensional feature vector. The method further includes reducing the dimension of the high-dimensional feature vector. The method further includes applying a machine-learned model to assign an aesthetic score to the image, wherein a more aesthetically-pleasing image is given a higher aesthetic score and a less aesthetically-pleasing image is given a lower aesthetic score.

Abstract: An object detection method includes for each of a set of patches of an image, encoding features of the patch with a non-linear mapping function, and computing per-patch statistics based on the encoded features for approximating a window-level non-linear operation by a patch-level operation. Then, windows are extracted from the image, each window comprising a sub-set of the set of patches. Each of the windows is scored based on the computed patch statistics of the respective sub-set of patches. Objects, if any, can then be detected in the image, based on the window scores. The method and system allow the non-linear operations to be performed only at the patch level, reducing the computation time of the method, since there are generally many more windows than patches, while not impacting performance unduly, as compared to a system which performs non-linear operations at the window level.

Abstract: A system and method for object classification is provided. The system includes a computing device that typically comprises a processor configured to receive data and detect an object within the data. Once an object is detected, it can be decomposed into sub-objects and connectivities. Based on the sub-objects and connectivities parameters can be generated. Moreover, based on at least one of sub-objects, connectivities and parameters objective measures can be generated. The object can then be classified based on the objective measures. The parameters can be linked into into linked parameters. Linked classification measures can be generated based on linked parameters. The system can also detect environment objects that form the environment of the detected object. Similar to an object, an environment object can be decomposed into environment sub-objects, and subsequently to environment parameters.

Abstract: A method for multi-modal tissue classification of an anatomical tissue involves a generation of a tissue classification volume (40) of the anatomical tissue derived from a spatial registration and an image extraction of one or more MRI features of the anatomical tissue and one or more ultrasound image features of the anatomical tissue. The method further involves a classification of each voxel of the tissue classification volume (40) as one of a plurality of tissue types including a healthy tissue voxel and an unhealthy tissue voxel.

Abstract: Provided is a method of authenticating a user by correlating speech and corresponding lip shape. An audiovisual of a user requesting authentication is captured. The audiovisual is processed to generate a speech vector quantization sequence and a corresponding lip vector quantization sequence of the user. A likelihood of the speech vector quantization sequence and the corresponding lip vector quantization sequence with probability distributions of speech vector quantization code words corresponding to different lip shape vector quantization code words of the user requesting authentication weighed by probabilities of speech and lip vector quantization indices of the user requesting authentication is evaluated. If upon evaluation, a likelihood of the user requesting authentication being an authentic user is more than a predefined threshold, the user is authenticated.

Abstract: A method and an apparatus for recognizing characters using an image are provided. A camera is activated according to a character recognition request and a preview mode is set for displaying an image photographed through the camera in real time. An auto focus of the camera is controlled and an image having a predetermined level of clarity is obtained for character recognition from the images obtained in the preview mode. The image for character recognition is character-recognition-processed so as to extract recognition result data. A final recognition character row is drawn that excludes non-character data from the recognition result data. A first word is combined including at least one character of the final recognition character row and a predetermined maximum number of characters. A dictionary database that stores dictionary information on various languages using the first word is searched, so as to provide the user with the corresponding word.