Abstract: A method and apparatus for biometric data capture are provided. The apparatus includes in interactive head-mounted eyepiece worn by a user that includes an optical assembly through which a user views a surrounding environment and displayed content. The optical assembly comprises a corrective element that corrects the user's view of the surrounding environment and an integrated processor for handling content to the user. An integrated optical sensor captures biometric data when the eyepiece is positioned so that a nearby individual is proximate to the eyepiece. Biometric data is captured using the eyepiece and is transmitted to a remote processing facility for interpretation. The remote processing facility interprets the captured biometric data and generates display content based on the interpretation. This display content is delivered to the eyepiece and displayed to the user.

Abstract: A system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for capturing an optimal quality image are presented. Consistent with some embodiments, the method may include receiving a video stream from a camera, and calculating a plurality of image attribute scores for the video stream. The method may further include causing a client device to automatically store a video frame from the video stream in response to determining that at least a portion of the plurality of image attribute scores are above a predefined threshold. The method may further include receiving a video stream from a camera associated with a client device and providing to the user of the client device video templates containing video-recording directions which are adapted to predetermined criteria that correspond to the purpose of video-recording, the type of activity to be presented in said video stream and the medium where the video content will be published.

Abstract: An apparatus and method for providing primitive visual knowledge are disclosed. The method of providing primitive visual knowledge includes receiving an image in a form of a digital image sequence, dividing the received image into scenes, extracting a representative shot from each of the scenes, extracting objects from frames which compose the representative shot, extracting action verbs based on a mutual relationship between the extracted objects, selecting a frame best expressing the mutual relationship with the objects, which are the basis for the extracting of the action verbs, as a key frame, generating the primitive visual knowledge based on the selected key frame, storing the generated primitive visual knowledge in a database, and visualizing the primitive visual knowledge stored in the database to provide the primitive visual knowledge to a manager.

Abstract: To provide an image processing system, an image processing method, and a program, capable of detecting a group with high irregularity. An image processing system is provided with: a group detector that detects a group based on an input image captured with an image capturing at a first time; a repeating group analyzer that determines that a detected group has been previously detected; and an alert module that reports when the detected group has been determined by the repeating group analyzer to have been previously detected.

Abstract: In an industrial machine, the work safety is further improved by eliminating blind spots from an image displayed on a monitor. A hydraulic excavator 1 which is the industrial machine is equipped with monitoring cameras 15F, 15B, 15L, 15R mounted in the respective places of a revolving upperstructure 3 in order to capture images for monitoring. A monitor 20 displays camera images 21F, 21B, 21L, 21R obtained by the cameras as well as an icon image 21C of an image illustration of the hydraulic excavator 1. The cameras 15F, 15L, 15R are mounted at the distal ends of support arms 40F, 40L, 40R to be located in positions jutting from a revolving upperstructure main unit 3a of the revolving upperstructure 3, so that a hidden area under the underside of a catwalk 14 provided on the revolving upperstructure 3 falls within the field of view.

Abstract: A vehicle includes an image capturer configured to acquire a driving image of surrounding environment of the vehicle, and a processor configured to acquire additional information related to the driving image and to store the driving image and the additional information.

Abstract: An information processing apparatus provides information to a user of a vehicle. The information processing apparatus includes a detector configured to detect a first obstacle around the vehicle, by using a monitoring unit configured to monitor an area around the vehicle; an acquirer configured to acquire information relating to a position of the detected first obstacle; an information transmitter configured to transmit first obstacle information including the acquired information relating to the position of the first obstacle, to a first external apparatus; an information receiver configured to receive second obstacle information including information relating to a position of a second obstacle, from a second external apparatus; and a display controller configured to display, on a displayer, information relating to the second obstacle, based on the received second obstacle information.

Abstract: The present invention relates to a system and method for detecting a vehicle.

Abstract: Methods and systems are provided for detecting an object in an image. In one embodiment, a method includes: receiving, by a processor, data from a single sensor, the data representing an image; dividing, by the processor, the image into vertical sub-images; processing, by the processor, the vertical sub-images based on deep learning models; and detecting, by the processor, an object based on the processing.

Abstract: A traffic sign identification method using a traffic sign identification system includes: operating a traffic sign image capture unit to capture a road condition image, operating a traffic sign image recognition unit to pick up a traffic sign image from the road condition image, and operating an arithmetic processing unit to convert the original RGB color space of the traffic sign image into a HIS color space, and then to extract one or multiple graphical features from the HIS color space subject to a predetermined graphic pattern, and then to execute a positioning procedure to allocate one traffic sign in the traffic sign image so as to further obtain a digital speed limit image using a matching arithmetic, and then to convert digital speed limit image into a digital speed limit skeleton diagram for identification of the speed limit value of the traffic sign image.

Abstract: Systems, methods, and apparatuses are disclosed for predicting the value of a variable speed sign (VSS) and determining the predicted value's associated confidence level. Highly assisted driving (HAD) vehicles may read or capture images of the VSS. The speed limit values, images, or videos of the VSS are reported and received by a network and database for analysis. A predicted speed limit value is determined for the variable speed sign from at least a portion of the received traffic data. A confidence level is also calculated for the predicted speed limit value for the variable speed sign.

Abstract: A face detection method includes acquiring a video image sequence, performing a video shot boundary detection process on the video image sequence to determine whether a shot change exists in the video image sequence to obtain a first judgment result, and determining, when the first judgment result indicates that a shot change exists in the video image sequence, that face detection has failed. The present disclosure also provides a face detection device, which includes an acquisition unit configured to acquire a video image sequence, a first detection unit configured to perform a video shot boundary detection process on the video image sequence to determine whether a shot change exists in the video image sequence to obtain a first judgment result, and a determination unit configured to determine, when the first judgment result indicates that a shot change exists in the video image sequence, that face detection has failed.

Abstract: A server receives a request from a client device initiated from a user operating the client device. The server determines a user action identifier (ID) based on the request, the user action ID identifying a user physical action that was captured by one or more sensors. One or more image processing commands are determined based on the user action ID in view of a first medical image currently displayed at the client device. An image processing operation is performed based on the first medical image by executing the one or more image processing commands, generating a second medical image. The second medical image is transmitted to the client device to be presented to the user at the client device.

Abstract: A detected quadrilateral area is displayed and no group of candidate lines is displayed in a normal state. While a user is selecting a side that the user desires to change, a group of candidate lines corresponding to the selected side is displayed. Then, whether to replace a position of the selected side with a position of a candidate line is determined based on a movement destination position of the selected side.

Abstract: In an embodiment, an encoding method includes generating a histogram corresponding to all pixels in a coding unit. The encoding method further includes seeking a first color value according to the histogram, wherein a first number of pixels of the first color value in the histogram is greater than or equals to a first threshold. The encoding method further includes seeking a second color value in a first range of the first color value according to the histogram. The encoding method further includes removing one or more pixels of the first color value from the histogram when a second number of pixels of the second color value is greater than or equals to a second threshold. The encoding method further includes adding the first color value into an initial color table when the second number of pixels is less than the second threshold. An encoder is also provided in the disclosure.

Abstract: A display apparatus includes a request information acquiring section, an information analyzing section, and a distinction tip deciding section. The request information acquiring section acquires request information including information to distinguish a target. The information analyzing section analyzes the request information acquired by the request information acquiring section, and extracts information required to distinguish the target. The distinction tip deciding section decides a distinction tip when a user distinguishes the target based on the information extracted by the information analyzing section.

Abstract: Systems and methods for identifying semantically and/or visually related information among a set of content items, such content items that include similar concepts or that have similar visual aspects, are disclosed. The disclosed techniques provide tools for identifying related information among various content items, such as text pages and documents, presentation slides and slide decks, etc. The disclosed techniques provide improved methods for searching among content items, organizing content items into categories, and pruning redundant content. Furthermore, the disclosed techniques provide improvements to computation of various metrics, including usage, performance, and impact metrics.

Abstract: Optimizing multi-class image classification by leveraging patch-based features extracted from weakly supervised images to train classifiers is described. A corpus of images associated with a set of labels may be received. One or more patches may be extracted from individual images in the corpus. Patch-based features may be extracted from the one or more patches and patch representations may be extracted from individual patches of the one or more patches. The patches may be arranged into clusters based at least in part on the patch-based features. At least some of the individual patches may be removed from individual clusters based at least in part on determined similarity values that are representative of similarity between the individual patches. The system may train classifiers based in part on patch-based features extracted from patches in the refined clusters. The classifiers may be used to accurately and efficiently classify new images.

Abstract: A method for surveilling a monitored environment includes classifying an individual detected in the monitored environment according to a role fulfilled by the individual within the monitored environment, generating a trajectory that illustrates movements and locations of the individual within the monitored environment, and detecting when the trajectory indicates an event that is inconsistent with an expected pattern for the role.

Abstract: A method for determining a level of haze within a field of view of an image sensor adapted for detecting a plurality of color components includes collecting a first image of the field of view at a first point in time, defining regions of the first image as a reference and determining reference intensities for each color component. At least one second image is collected at different points in time and intensities for each color component are determined and compared against the reference intensities. If the intensities of second image differ from the reference intensities by more than a predetermined threshold, all or a portion of the second image is designated as being obscured by haze and requiring correction.

Abstract: A medical image classification system includes an acceptance apparatus, a medical image acquisition apparatus, and a medical image classification apparatus. The acceptance apparatus includes an acceptor that accepts the input of patient identification information and medium identification information, and a first storage that stores first association information. The medical image acquisition apparatus includes an identification information acquirer, an image acquirer that acquires a medical image for diagnosing a patient, and a second storage that stores second association information.

Abstract: An image processing method and an electronic device supporting the same are disclosed. An electronic device is provided to collect a plurality of images. The electronic device may collect the images by taking pictures/videos with a camera or by receiving the images from an external device. The electronic device also includes a processor able to determine an activity type during at least a portion of time when the images were taken by the camera or an activity type of the device that originally generated the images received from the external device. The processor may be able to select at least some of the collected images based on the activity type to generate a highlight content.

Abstract: Techniques for optimizing multi-class image classification by leveraging negative multimedia data items to train and update classifiers are described. The techniques describe accessing positive multimedia data items of a plurality of multimedia data items, extracting features from the positive multimedia data items, and training classifiers based at least in part on the features. The classifiers may include a plurality of model vectors each corresponding to one of the individual labels. The system may iteratively test the classifiers using positive multimedia data and negative multimedia data and may update one or more model vectors associated with the classifiers differently, depending on whether multimedia data items are positive or negative. Techniques for applying the classifiers to determine whether a new multimedia data item is associated with a topic based at least in part on comparing similarity values with corresponding statistics derived from classifier training are also described.

Abstract: To provide a technology capable of having another object related to one object easily recognized after detection of the one object, there is provided an information processing apparatus including a detection unit configured to detect a predetermined detection object, a data obtaining unit configured to obtain instruction information ordering that a predetermined imaging object according to the detection object fall within an imaging range of an imaging unit, and a display control unit configured to cause a display unit to display the instruction information.

Abstract: The present disclosure includes a method and system for applying ink markings on a food product in such a manner to form a permanent marking thereon. The markings include text and graphics, and can include an advertisement, freshness information, traceability data, or other types of relevant information, or any combination thereof. The method preferably forms the markings on the food product while the product moves through a predetermined region of a food processing system. Preferably, the ink marking assembly is located above the food products to be marked and the products are marked while passing thereunder. The performance or characteristics of the marking device may be adjusted in response to selected characteristics of the food product, environmental conditions, processing conditions, compliance requirements, and the like, in order to optimize the marking process.

Abstract: An array of printed information sheets to be placed in a business establishment includes at least two stacks of printed information sheets being detachably connected to each other. Each stack of printed information sheets includes at least a first multiple product information sheet and a second information sheet that are removably attached to each other or to the stack. The first multiple product information sheet has printed thereon first product information about a first product to be displayed in the business establishment and a first location indicator indicating a first predetermined location in the business establishment where the first multiple product information sheet is to be displayed.

Abstract: A printing apparatus comprising: a conveying unit; a printing unit; a cutting unit; a control unit configured to, in a case in which a marginless image is to be printed, execute a first control of providing a margin portion on a front side of the image and printing the image; and a determination unit, wherein in the case in which a marginless image is to be printed, the control unit suspends execution of the first control until the determination unit determines the image.

Abstract: An image processing apparatus includes a receiving unit that receives medical image data, a converter that converts the medical image data into a predetermined format, and an output unit having an association table storing an input source and an output destination in association with each other. The output unit outputs the medical image data received by the receiving unit to the output destination based on the association table.

Abstract: A method for controlling a printing apparatus includes detecting generation of an event by a printing apparatus that is capable of executing a plurality of operations including a printing operation, and selectively displaying an image indicating a candidate of a respondence operation to the event in a terminal apparatus, from a plurality of images indicating the operations which are capable of being displayed in the terminal apparatus, and are different from each other.

Abstract: A system and method for encoding and controlled authentication of security documents, ID cards, tickets and products and the like is described which can provide a secure means to determine them to be authentic. The method involves encoding the surface of the said security documents or ID cards or tickets and the like with of a pair of identity components comprising a pair of unique numbers, or a combination of a uniquely encoded image and a unique number, or a combination of a unique barcode and a unique number, or a combination of encoded images. The pair of identity components together comprise a challenge response pair and are related such that one component of the pair, the response, is a mathematical derivative of the other component, the challenge. A processing module determines the response by processing the challenge using complex mathematical functions such as one-way mathematical functions.

Abstract: An example method for forming a data-bearing medium in accordance with aspects of the present disclosure includes setting variables associated with the data-bearing medium, the variables comprising a bit length of a payload, a row-to-row offset and an interleave period, identifying a standard form of the payload, the standard form being a circularly shifted version of the payload, generating a phase code based on the variables, and arranging rows of the data-bearing medium with the standard form of the payload and the phase code based on the interleave period.

Abstract: An example method for forming a data-bearing medium in accordance with aspects of the present disclosure includes setting variables associated with the data-bearing medium, the variables comprising a bit length of a codeword, identifying a phase-invariant codeword based on the variables, and arranging rows of the data-bearing medium with the phase-invariant codewords.

Abstract: An improved system and method for data card emulation involves a portable electronic device that can emulate any one of multiple data cards corresponding to multiple entities. The portable electronic device includes a memory for storing bar code information corresponding to data cards of the multiple entities. It provides an interface for identifying an entity and a display for displaying a bar code corresponding to a data card of the entity.

Abstract: Methods and systems for processing information cards. The implementations include receiving from a first application an instruction by a second application to process the information card. The first application is different from an application corresponding to the information card, and the second application is capable of processing the information card. The second application may process the information card based on the instruction. Alternatively, the second application may return service data to the first application based on the instruction such that the first application processes the information card based on the service data. This improves flexibility and efficiency of information card processing.

Abstract: Systems (100) and methods (400) for an object (1121) within an area (102). The methods involve: receiving, by a Radio Frequency Identification (“RFID”) tag (1141) coupled to the object, a Radio Frequency (“RF”) interrogator signal transmitted from an RFID reader (108); processing, by the RFID tag, the RF interrogator signal to determine if the RF interrogator signal applies thereto; and performing operations by the RFID tag to direct a person's attention directly to the object by activating at least one alerting mechanism (220) electrically and mechanically coupled to the RFID tag when the RF interrogator signal is determined to apply to the RFID tag. In some scenarios, the alerting is additionally or alternatively performed by a beacon (110).

Abstract: An RF tag includes a resonant circuit structure and an RF device. The resonant circuit structure includes: a first conducting layer; a second conducting layer spaced apart from the first conducting layer; at least one conducting base portion connecting one end of the first conducting layer and one end of the second conducting layer; and a layer of dielectric material inserted between the first conducting layer and the second conducting layer. Impedance of the resonant circuit structure is in match with impedance of the RF device. A slit is formed on the first conducting layer. The RF device is electrically coupled to the first conducting layer and disposed over the slit.

Abstract: The invention concerns an electronic module (2) for a contactless smart card or dual contact and contactless smart card comprising at least a first antenna (3a), a second antenna (3b), a third antenna (3c) and a microelectronic chip (1), characterized in that: said microelectronic chip comprises a microprocessor, at least a first contact (P1), a second contact (P2), a third contact (P3), a fourth contact (P4), a first tuning capacitor (C1) connected between the first contact (P1) and the third contact (P3), a second capacitor (C2) connected between the second contact (P2) and the fourth contact (P4), said first and third contacts (P1, P3) being connected to the inputs/outputs of the microprocessor and being configured to transmit to said microprocessor a radio-frequency communication signal exchanged through the antennas, said first antenna (3a) is connected between the first contact (P1) and the third contact (P3) and is configured to be brought into resonance by said first capacitor (C1), said second ant

Abstract: A machine tool comprises a first component, for example a dressing spindle (3), and at least one second component, for example a dressing wheel (1), which is removably and/or movably arranged on the first component. The first component has a first antenna coil for a wireless signal transmission, and the second component has a second antenna coil. The two components together delimit a cavity which is completely surrounded by metal. The first antenna coil and the second antenna coil are arranged together in the cavity. This forms a metal-protected radio link (26.1) between the first antenna coil and the second antenna coil, which radio link is protected from harmful external influences.

Abstract: A state machine engine having a program buffer. The program buffer is configured to receive configuration data via a bus interface for configuring a state machine lattice. The state machine engine also includes a repair map buffer configured to provide repair map data to an external device via the bus interface. The state machine lattice includes multiple programmable elements. Each programmable element includes multiple memory cells configured to analyze data and to output a result of the analysis.

Abstract: A new method for stock selection, portfolio optimization and asset allocation using specially constructed neural networks and ranking algorithms. Each stock in a portfolio is modeled by a neural network designed to learn from the statistical differences between the stock and the target benchmark. The neural network outputs, representing each model's forward looking rate of return (FLRoR) relative to the benchmark, are then ranked in descending order. Portfolio optimization is performed by rebalancing the positions based on their FLRoR rankings subject to the portfolio constraints including regulatory requirements and risk level. The method has been implemented in computer programs.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network. One of the methods includes generating, by a speech recognition system, a matrix from a predetermined quantity of vectors that each represent input for a layer of a neural network, generating a plurality of sub-matrices from the matrix, using, for each of the sub-matrices, the respective sub-matrix as input to a node in the layer of the neural network to determine whether an utterance encoded in an audio signal comprises a keyword for which the neural network is trained.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing inputs using a neural network system that includes a batch normalization layer. One of the methods includes receiving a respective first layer output for each training example in the batch; computing a plurality of normalization statistics for the batch from the first layer outputs; normalizing each component of each first layer output using the normalization statistics to generate a respective normalized layer output for each training example in the batch; generating a respective batch normalization layer output for each of the training examples from the normalized layer outputs; and providing the batch normalization layer output as an input to the second neural network layer.

Abstract: Compressing a machine learning network, such as a neural network, includes replacing one layer in the neural network with compressed layers to produce the compressed network. The compressed network may be fine-tuned by updating weight values in the compressed layer(s).

Abstract: Apparatus and methods for developing parallel networks. Parallel network design may comprise a general purpose language (GPC) code portion and a network description (ND) portion. GPL tools may be utilized in designing the network. The GPL tools may be configured to produce network specification language (NSL) engine adapted to generate hardware optimized machine executable code corresponding to the network description. The developer may be enabled to describe a parameter of the network. The GPC portion may be automatically updated consistent with the network parameter value. The GPC byte code may be introspected by the NSL engine to provide the underlying source code that may be automatically reinterpreted to produce the hardware optimized machine code. The optimized machine code may be executed in parallel.

Abstract: A universal problem resolution method and system implementing continuous improvement for problem solving that utilizes simulative processing of relational data sets associated with initial states, allowed transition states, and goal states for a problem. The framework autonomously generates and solves higher order problems to find sequences of operations necessary to transform state sequences derived from the lower-order transformation simulations recursively. The solutions yield increasingly higher-order abstractions that converge to generalization such that the unwinding of the higher order sequences back down to the original problem yields the exact sequence of steps for unsolved instances of the problem in linear time without the need for re-simulation. Cooperating agents analyze solution path determinations for problems including those concerning their own optimization. This spawns state transition rules generalizable to higher layers of abstraction resulting in new knowledge enabling self-optimization.

Abstract: A system and method for rendering adaptable electronic streams for modifying and controlling people's future through networked servers and communication devices wherein adaptable streams of continua of diverse data are rendered, shared and updated and individual continua are associated and adapted to render, update and adapt streams which are further disseminated, shared and updated in and among networked servers and communication devices.

Abstract: The present invention provides a method and system of measuring knowledge point relationship strength, the method comprising calculating explicit relationship strength for all knowledge points and generating a knowledge point relationship strength matrix M; constructing a weighted and directed graph G according to the knowledge point relationship strength matrix of all knowledge points; calculating knowledge point implicit relationship strength values according to the weighted and directed graph and generating a knowledge point implicit relationship strength matrix I; traversing the knowledge point implicit relationship strength matrix I and updating the knowledge point relationship strength matrix M. The above technical solution may effectively avoid the problem of lack of an absolute measurable value for the determination of relationship strength, incorrect measurement of relationship strength, or unable to discover some stronger relationship strength in the prior art.

Abstract: One embodiment is a method executed by a computer system that applies collaborative filtering to provide a recommendation to a user. The method includes retrieving a binary matrix that includes rows and columns of binary data for preferences of users on items; applying a neighborhood-based approach to convert the binary matrix into a neighbor-score matrix; applying a factorization to approximate the neighbor-score matrix with a product of lower rank matrices; calculating a user factor and an item factor based on the factorization; calculating scores for user-item pairs by computing a dot product between the user factor and the item factor; sorting the scores of the user-item pairs to generate the recommendation to the user; and providing the recommendation to a general-purpose computer of the user.

Abstract: A system and method for stent recommendation are disclosed herein. The stent recommendation system includes a processor and a database. The processor acquires an image of the body part of a subject where a stent is to be implanted, simulates a stent implantation target location for each of a plurality of types of stents based on the image, and computes a fitness score for each of the plurality of types of stents based on preset evaluation criteria. The processor displays at least one of the plurality of types of stents on a display screen as recommended stents based on the fitness score computed for each of the plurality of types of stents. The database stores the result data of the simulation performed for each of the plurality of types of stents.

Abstract: In the method and system for knowledge extraction of this invention, knowledge extraction is realized through acquiring an initial sentence group including one or more sentences, and then comparing the length of the initial sentence group with an expected length to determine the initial sentence group to be expanded according to the comparison result. Since the sentence groups are formed by consecutive sentences, it may be guaranteed that the sentence groups themselves have good coherence in logic, so that the final sentence groups obtained through expanding the initial sentence groups have good coherence in logic correspondingly. Thus, this invention may override the drawback of lacking logical coherence in extracted knowledge information in the prior art.