Abstract: According to an embodiment, an information presenting apparatus to be mounted in a vehicle includes hardware circuitry. The hardware circuitry is configured to acquire driving information including a speed and a steering angle of the vehicle. The hardware circuitry is configured to calculate, based on the driving information, an own vehicle region indicating a region in which the vehicle moves. The hardware circuitry is configured to acquire target object position information indicating a position of a target object present in surroundings of the vehicle. The hardware circuitry is configured to generate a pair of target object information and presentation information when the position of the target object is included in the own vehicle region. The target object information identifies the target object present at the position of the target object. The presentation information indicates information that encourages the target object to perform a certain action.

Abstract: A driver assistance system including at least a first camera. The first camera can be configured to obtain image data of a region external to the host vehicle. Lane detection analysis can be performed on the image data to identify a region of interest in the image data. The region of interest can be divided into portions. Each portion can be analyzed to determine whether it includes the characteristics of an under-vehicle region. When an under-vehicle region is detected a portion of the image adjacent an under-vehicle region can be analyzed to determine whether it includes an image of another vehicle. A distance between the another vehicle and the host vehicle can be determined using the image data. A threat analysis can be performed to provide a level of threat posed by the another vehicle to the host vehicle.

Abstract: A method for processing an image includes calculating a vanishing point located at a same position in a plurality of images that are temporally successive, receiving specification of a target object whose privacy is to be protected in at least one of the plurality of images, calculating a target location area, which includes the vanishing point and in which the target object is located in each of the plurality of images, on the basis of the specification of the target object in the at least one of the plurality of images received in the receiving and the vanishing point calculated in the calculating the vanishing point, and performing image processing for protecting privacy in an area in each of the plurality of images located at a same position as the target location area calculated in the calculating the target location area.

Abstract: Some aspects of the invention relate to a mobile apparatus including an image sensor configured to convert an optical image into an electrical signal. The optical image includes an image of a vehicle license plate. The mobile apparatus includes a license plate detector configured to process the electrical signal to recover information from the vehicle license plate image. The mobile apparatus includes an interface configured to transmit the vehicle license plate information to a remote apparatus and receive a vehicle identification number corresponding to the vehicle license plate image in response to the transmission.

Abstract: Financial transaction card data can be entered by providing a picture of the card to a server programmed with a text recognition algorithm. The server can perform text recognition on the image at the same time that a consumer enters additional required data, such as a zip code. The server can perform as much text recognition processing as possible in the time the consumer is entering the additional data. Once the additional data is received, a signal can be provided to the server indicating that the user is now waiting for results of the text recognition process, meaning the server should provide them as quickly as possible. Once text recognition results are received, a consumer can make a selection to identify a character which the text recognition algorithm did not sufficiently identify. Based on known account number constraints, the user selection can cause multiple characters to be identified.

Abstract: Embodiments of the present disclosure provide a method and a device for digit separation, and relate to the technical field of information recognition. According to embodiments of the present disclosure, a sliding template matching method is not required. Instead, in one illustrative implementation, a station logo area and position information of the station logo area are obtained; position information of a digit area is determined according to a position relation between the station logo area and the digit area, and the position information of the station logo area; and the station logo area is then segmented according to the position information of the digit area to obtain the digit area. In such a manner, digit separation can be realized simply, and the efficiency of separation is improved.

Abstract: A method and a device for feature extraction are provided in the disclosure. The method may include: partitioning an image into a plurality of blocks, each of the blocks including a plurality of cells; performing a sparse signal decomposition on the cells using a predetermined dictionary to obtain sparse vectors respectively corresponding to the cells; and extracting an image Histogram of Oriented Gradient (HOG) feature of the image according to the sparse vectors.

Abstract: An image processing apparatus with at least one circuit provided to perform a process of determining a candidate color region including at least a partial region in an image using color information of an input image signal, prompt a user to select an extraction color region in case a plurality of color regions are determined as the candidate color region, and perform image processing on at least one of the extraction color region of the input image signal and the remaining region of the input image signal excluding the extraction color region, to obtain an output image signal.

Abstract: A method and a system for analyzing distinct light or radiation sources affecting a scene are provided. The method may include: sensing at least one image of a scene containing surfaces and objects, wherein the scene is illuminated by at least one distinct radiation or source; maintaining a database of the scene which stores approximate positions of at least some of the objects in the scene; identifying at least one candidate silhouette suspected to be cast by the at least one distinct light or radiation source, deriving properties of the at least one distinct light or radiation source, based on the at least one identified silhouette, based on data derived from the database.

Abstract: A method for characteristic extraction includes dividing an image into a plurality of blocks, each block including a plurality of cells. The method also includes performing sparse signal decomposition for each cell to obtain a sparse vector corresponding to each cell. The method further includes extracting characteristics of Histogram of Oriented Gradient (HOG) of the image according to the sparse vectors.

Abstract: Systems and methods identify consumer products in images. Known consumer products are captured as grayscale or color images. They are converted to binary at varying thresholds. Connected components in the binary images identify image features according to pixels of a predetermined size, shape, solidity, aspect ratio, and the like. The image features are stored and searched for amongst image features similarly extracted from unknown images of consumer products. Identifying correspondence between the features of the images lends itself to identifying or not known consumer products.

Abstract: A method includes receiving first and second images, each having a resolution that is less than or equal to a predetermined amount. The second image is captured at a different time than the first image, by a different sensor than the first image, or both. A common area is identified in both the first and second images. A probability of change in the common area between the first image and the second image is greater than a predetermined threshold. Third and fourth images are received, each having a resolution that is greater than or equal to the predetermined amount. The third and fourth images include the common area. The fourth image is captured at a different time than the third image, by a different sensor than the third image, or both. The fourth image has a total area that is less than a total area of the third image.

Abstract: A system for evaluating a user-marked document having a response area and at least one image marker, the system including an image capturing device to obtain a digital image of the user-marked document, and a computer to identify positional information of the at least one image marker from the obtained digital image of the user-marked document, wherein the image marker provides context to marks on the user-marked document based on the position of the mark relative to the image marker.

Abstract: Systems and methods identify consumer products in images. Known consumer products are captured as grayscale or color images. They are converted to binary at varying thresholds. Connected components in the binary images identify image features according to pixels of a predetermined size, shape, solidity, aspect ratio, and the like. The image features are stored and searched for amongst image features similarly extracted from unknown images of consumer products. Identifying correspondence between the features of the images lends itself to identifying or not known consumer products.

Abstract: The present disclosure provides a picture processing method and apparatus and belongs to the field of information technologies. The method includes: scanning pictures under a picture directory; generating at least one similar picture group according to attribute information of each scanned picture; acquiring one representative picture from each similar picture group according to attribute information of each picture included in each similar picture group; and displaying a representative picture in each similar picture group and other pictures in the each similar picture group with different markings when the at least one similar picture group is displayed. In the present disclosure, a similar picture group is acquired according to attribute information of each picture, and a representative picture in each similar picture group and other pictures are displayed with different markings.

Abstract: Presented are systems and methods that provide a unified end-to-end detection pipeline for object detection that achieves impressive performance in detecting very small and highly overlapped objects in face and car images. Various embodiments of the present disclosure provide for an accurate and efficient one-stage FCN-based object detector that may be optimized end-to-end during training. Certain embodiments train the object detector on a single scale using jitter-augmentation integrated landmark localization information through joint multi-task learning to improve the performance and accuracy of end-to-end object detection. Various embodiments apply hard negative mining techniques during training to bootstrap detection performance.

Abstract: Techniques are described for analyzing a video for memorability, identifying content features of the video that are likely to be memorable, and scoring specific content features within the video for memorability. The techniques can be optionally applied to selected features in the video, thus improving the memorability of the selected features. The features may be organic features of the originally captured video or add-in features provided using an editing tool. The memorability of video features, text features, or both can be improved by analyzing the effects of applying different styles or edits (e.g., sepia tone, image sharpen, image blur, annotation, addition of object) to the content features or to the video in general. Recommendations can then be provided regarding memorability score caused by application of the image styles to the video features.

Abstract: A device for detecting and addressing offending objects that are found in a fluid. The device has an image capturing device that receives images of a substrate such as a fluid. The captured images are analyzed by an image recognition system. If the image recognition system detects the presence of an offending object—the device performs further steps to remove or neutralize the offending object.

Abstract: Techniques, systems, and devices are described for implementing automatic segmentation and quantitative parameterization of MRI images. For example, the disclosed method includes processing the MRI image to correct any distortions; performing a preliminary segmentation of the MRI image to assign a tissue label of a set of tissue labels to one or more preliminary volumes of voxels of the MRI image; comparing each voxel of the MRI image with the one or more preliminary volumes of voxels with an assigned tissue label and assigning each voxel of the MRI image a probability of being associated with each tissue label of the set of tissue labels; and assigning each voxel of the MRI image a tissue label according to its greatest probability among probabilities for each voxel being associated with the set of tissue labels.

Abstract: An information processing apparatus includes an acceptance unit configured to accept a plurality of training data given as data belonging to a specific category, the training data being used to determine a parameter of a classifier for determination for determining whether target data belongs to the specific category, a first data evaluation unit configured to obtain a first likelihood that the training data belongs to the specific category, and a parameter determination unit configured to determine the parameter of the classifier for determination based on the first likelihood of each of the plurality of training data.

Abstract: Described herein are systems and methods that address the task of learning novel visual concepts, and their interactions with other concepts, from a few images with sentence descriptions. Using linguistic context and visual features, embodiments are able to efficiently hypothesize the semantic meaning of new words and add them to model word dictionaries so that they can be used to describe images which contain these novel concepts. In the experiments, it was shown that the tested embodiments effectively learned novel visual concepts from a few examples without disturbing the previously learned concepts.

Abstract: The present invention enables successful printing whether printing data contains a character code of either code page or Unicode without an addition of an apparatus for code conversion and without expansion of printer memory for storing Unicode font set. Upon receipt of the input of printing data containing the character code of the code page, a first print control unit is selected to control printing of a string represented by the code page with a font available for the code page. Upon receipt of the input of printing data containing the character code of Unicode, a second print control unit is selected to convert the character code of Unicode to the character code of the code page and to control printing of a string represented by the Unicode with a font available for the code page on the basis of the code page after conversion.

Abstract: A non-transitory recording medium storing a computer readable program causes a computer to execute: a) analyzing unconverted first page description language data to determine whether a repetitive pattern image portion is included in the first page description language data; b) separating the repetitive pattern image portion from the first page description language data when it is determined that the repetitive pattern image portion is included in the first page description language data; c) generating first partial data in a second page description language; d) generating second partial data in the second page description language based on a portion other than the repetitive pattern image portion of the first page description language data; and e) generating converted data that relates to the first page description language data and is second page description language data based on the first partial data and the second partial data.

Abstract: An apparatus that performs image processing on input image data in parallel in units of block according to an aspect of the invention includes a derivation unit configured to derive a memory size used in conversion processing of converting data alignment sequence in the image data from a line sequence into a block sequence which is executed before rendering of the image data and a memory size used in the conversion processing which is executed after the rendering of the image data, a determination unit configured to determine a timing for executing the conversion processing based on the derivation results, and a conversion unit configured to execute the conversion processing at the determined timing.

Abstract: Disclosed are encoding and decoding methods for 2D barcodes, and an electronic device. During the encoding, the electronic device obtains a 1D barcode, captures a horizontal image of the 1D barcode, and encodes the horizontal image, with/without a literal data, a numerical data or a combination thereof into a 2D barcode. During the decoding, the electronic device obtains the 2D barcode, and decodes the 2D barcode into a 1D barcode with/without a literal data, a numerical data or a combination thereof. Thus, more data can be written in the 2D barcode but an image data of the 2D barcode will not be too large. The electronic device can quickly transmit the 2D barcode to another electronic device without any optical device to capture the 2D barcode for decoding it into a 1D barcode with/without a literal data, a numerical data or a combination thereof.

Abstract: In embodiments of the present invention improved capabilities are described for a system for collecting aviation flight cycle data comprising a radio frequency (RF) tag configured to read sensor information from a sensor, the RF tag comprising (i) an RF and analog block for receiving and transmitting an RF signal, (ii) a data processing and controller block for digital information processing, and (iii) a memory store, wherein the RF tag is at least in part powered by an external RF signal received by the RF and analog block; and a sensor for generating sensor information indicative of an airborne flight cycle parameter, wherein the RF tag periodically collects the sensor information generated by the sensor and stores the sensor information in the memory store.

Abstract: The disclosure provides a core layer for an information carrying card, resulting information carrying card, and methods of making the same. A core layer for an information carrying card comprises at least one thermoplastic layer having at least one cavity, an inlay layer, and, and a crosslinked polymer composition. At least one portion of the inlayer layer is disposed inside the at least one cavity of the at least one thermoplastic layer. The crosslinked polymer composition is disposed over the at least one thermoplastic layer and contacting the inlayer layer.

Abstract: An antenna module includes an antenna element including coil patterns and via conductors coupling together two adjacent two coil patterns. At least one of the coil patterns has a spiral shape, is wound three or more turns parallel or substantially parallel to an outer edge of a principal surface of a multilayer body, includes a first partial pattern including an outer end portion, a second partial pattern extending parallel or substantially parallel with the first partial pattern and being adjacent to the first partial pattern with a first gap provided therebetween, and a third partial pattern extending parallel or substantially parallel with the second partial pattern and being adjacent to the second partial pattern with a second gap provided therebetween, the second gap being smaller than the first gap.

Abstract: An apparatus for automatic radio-frequency identification (RFID). In an embodiment, the apparatus comprises a flexible strap comprising a plurality of holes and a buckle configured to buckle to any one of the plurality of holes, such that, when the buckle is buckled to one of the plurality of holes, the strap forms a closed loop. The apparatus further comprises one or more tag enclosures. Each tag enclosure comprises one or more buckles and a RFID tag configured to communicate identifying data to a reader device. The one or more buckles of each tag enclosure are each configured to buckle to any one of the plurality of holes on the strap such that the tag enclosure may be attached to the strap at any one of a plurality of positions on the strap.

Abstract: A method of operating an electronic device according to various example embodiments of the present disclosure may include: acquiring a plurality of text messages; acquiring a keyword corresponding to the plurality of text messages by analyzing each of the plurality of text messages; transmitting a query including the keyword; and performing an operation corresponding to an analysis result of the keyword after receiving the analysis result of the keyword.

Abstract: The use of the alternating direction method of multipliers (ADMM) algorithm to train a classifier may reduce the amount of classifier training time with little degradation in classifier accuracy. The training involves partitioning the training data for training the classifier into multiple data blocks. The partitions may preserve the joint distribution of input features and an output class of the training data. The training may further include performing an ADMM iteration on the multiple data blocks in an initial order using multiple worker nodes. Subsequently, the training of the classifier is determined to be completed if a stop criterion is satisfied following the ADMM iteration. Otherwise, if the stop criterion is determined to be unsatisfied following the ADMM iteration, one or more additional ADMM iterations may be performed on different orders of the multiple data blocks until the stop criterion is satisfied.

Abstract: A learning apparatus includes: a learning performing unit configured to learn parameters of a multilayer neural network with regularization; a determining unit configured to determine whether learning has progressed; and a changing unit configured to reduce effect of the regularization in response to the determining unit determining that the learning has progressed.

Abstract: This document presents methods by which system parameters are tracked online. For adjusting the values of the system parameters, the presented methods take advantage of the data that become available during the system's operation. The values of the parameters can be used for estimating the system state and controlling the system. This document includes methods comprising constructing a cost function based on the data collected during the system operation as a function system parameters and running a memetic algorithm that reduces the cost function value. A memetic algorithm combines an evolutionary or a population-based algorithm with a procedure for local improvement (local search, refinements) of candidate solutions. This document includes methods by which the rotor speed, the rotor flux, and the stator currents of the induction motor can be estimated from electrical measurements while covariance matrices of noise are adjusted online.

Abstract: A mechanism is provided for computing a solution to a plan recognition problem. The plan recognition problem includes the model and a partially ordered sequence of observations or traces. The plan recognition is transformed into an AI planning problem such that a planner can be used to compute a solution to it. The approach is general. It addresses unreliable observations: missing observations, noisy observations (or observations that need to be discarded), and ambiguous observations). The approach does not require plan libraries or a possible set of goals. A planner can find either one solution to the resulting planning problem or multiple ranked solutions, which maps to the most plausible solution to the original problem.

Abstract: A computer-implemented method for knowledge based ontology editing, is provided. The method receives a language instance to update a knowledge base, using a computer. The method semantically parses the language instance to detect an ontology for editing. The method maps one or more nodes for the ontology for editing based on an ontology database and the knowledge base. The method determines whether the mapped nodes are defined or undefined within the knowledge base. The method calculates a first confidence score based on a number of the defined and undefined mapped nodes. Furthermore, the method updates the knowledge base when the first confidence score meets a pre-defined threshold.

Abstract: A method for predicting the timing of and attendance at a predefined event milestone, the method including the steps of: receiving, by a prediction engine, a first input variable; generating, by the prediction engine, a first time prediction of the predefined event milestone in response to the received first input variable; receiving, by the prediction engine, a second input variable; generating, by the prediction engine, a first attendance prediction at the predefined event milestone in response to the second input variable; and assigning a first confidence level to one of the first time prediction and the first attendance prediction.

Abstract: A cognitive publication subscriber method, system, and non-transitory compute readable medium receiving a signal from a signal generating device and a subscriber cognitive state including filtering the signal being received by a plurality of subscribers based on the subscriber cognitive state and routing the signal to a subscriber of the plurality of subscribers, the subscriber cognitive state of the subscriber receiving the signal being based on a threshold.

Abstract: Methods, systems, and computer program products for detection of an arbitrarily-shaped source of an abnormal event via use of a hierarchical reconstruction method are provided herein. A computer-implemented method includes detecting an abnormal event based on analysis of sensor data, wherein said analysis of the sensor data comprises comparing the sensor data to a user-defined threshold; generating a query based on the detected abnormal event; processing the query against one or more given data repositories; executing an inverse model using an output generated in relation to said processing to identify a source of the detected abnormal event, wherein the source to comprises an arbitrary shape; and outputting the identified source of the detected abnormal event.

Abstract: Various embodiments of systems and methods for generating predictive models are described herein. A computer system deployed in a distributed may receive configuration data from multiple electronic devices. The system may select a set of configuration data with respect to a device category and a subcategory to generate a prediction model. The predictive model includes hypothesis, an average deviation and information pertaining to optimal configuration data for the given subcategory and the device category. The computer system may also receive monitoring requests from electronic devices and retrieve appropriate predictive model with respect to the device category and subcategory. The system may reconfigure the electronic device based on the retrieve predictive model.

Abstract: [Object] To provide an information processing apparatus, an information presentation method, and a program capable of providing an item on the basis of a prediction of a user's action. [Solution] Provided is an information processing apparatus including an acquisition unit configured to acquire sensing data obtained by detecting an action of a user, a recognition unit configured to recognize a situation of the user on the basis of the acquired sensing data, an action prediction unit configured to predict an action of the user on the basis of the recognized situation of the user, and a presentation unit configured to present information for providing an item to the user on the basis of the predicted action of the user.

Abstract: Performance testing based on variable length segmentation and clustering of time series data is disclosed. One example is a system including a training module, a performance testing module, and an interface module. The training module generates a trained model to learn characteristics of a system of interest from training time series data by segmenting the training time series data into homogeneous windows of variable length, clustering the segments to identify patterns, and associating each cluster with a cluster score. The performance testing module analyzes system characteristics from testing time series data by receiving the testing time series data, and determining a performance metric for the testing time series data by analyzing the testing time series data based on the trained model. The interface module is communicatively linked to the performance testing module, and provides the performance metric via an interactive graphical user interface.

Abstract: The present disclosure relates to a method and a system for verifying one or more rules of a root cause analysis system in a cloud environment. In one embodiment, the method receives an input comprising predefined set of the one or more rules from a cloud database. The method further receives dynamically, information associated with one or more topologies of the cloud environment from the cloud database and one or more user inputs on the input. The method further verifies the input with the information associated with the one or more topologies of the cloud environment and the one or more user inputs, for determining compliance of one of the input and the information associated with the one or more topologies of the cloud environment with one or more property parameters. Upon verifying, the method generates a verification report.

Abstract: Disclosed are a method for predicting collapse of a structure using throw-type sensors and a system for the same. The system includes at least one throw-type sensor for measuring a collapse characteristic of a structure on fire after having been thrown into the structure in a fireplace and wirelessly transmitting measured data, and a computer for receiving the measured data transmitted from the at least one throw-type sensor and predicting whether or not the structure on fire will collapse by analyzing the measured data.

Abstract: A computer implemented method, computer program product and system for generating a Bayesian network. A dataset comprising multiple instances of multiple variables is received. A target variable from the received dataset is selected. Multiple parent sets of variables for the target variable are determined, such that, for each parent set of variables, the target variable is functionally dependent on the respective parent set of variables. For multiple variables of the received dataset, the selecting of a new target variable from the received dataset and determining multiple parent sets of variables for the new target variable is repeated. A Bayesian network (includes a directed acyclic graph of nodes and edges) is then generated for the variables such that one or more of the determined parent sets of variables for the target variables are inserted into the graph and edges from the graph are removed to ensure that the graph is acyclic.

Abstract: A computer-implemented method of evaluating information confidence based on a cognitive trait of a user, is provided, the method including receiving information from a user as an answer to a question in an active learning question and answer system; monitoring a user for a cognitive behavior indicator when the user is providing the information; determining a cognitive trait based on the cognitive behavior indicator; determining a quantified level of information confidence for the information based on the cognitive trait; and annotating the information with the cognitive trait and the quantified level of information confidence. A system and a computer program product for evaluating information confidence based on a cognitive behavior of a user are also provided.

Abstract: A system and method for identifying a vehicle driver based on driver behaviors. The system and method include analyzing a sequence of vehicle start-up behaviors for rapid identification of the driver. The start-up analysis includes detecting and evaluating the sequence and timing of events including door opening, door closing, seat belt fastening, ignition switch usage and shift/drive, among others. The technique further includes analyzing a set of longitudinal (or long-term) behaviors for more robust verification of driver identification. The longitudinal behaviors include acceleration and braking patterns, speed pattern (compared to road type and speed limit), stop sign behavior, cruise control usage and many others. Statistical clustering techniques are employed for both the start-up and longitudinal behavior analyses to identify the driver.

Abstract: An online system extracts features from an application linked to the online system. The application is used by users of the online system and posts content to the online system. A trained model is applied to the extracted features to generate a quality score for the application. The trained model is trained using features extracted from a set of training applications and quality scores manually assigned to the training applications, wherein the manually assigned quality scores indicate whether each training application satisfies a set of criteria and the generated quality score represents a probability of the application satisfying the set of criteria. Based on the quality score, content provided by the application is ranked for presentation to a user of the online system in relation to other content of the online system. The online system presents the content provided by the application to the user according to the ranking.

Abstract: The present disclosure is directed to associating computing devices with each other based on computer network activity for selection of content items as part of an online content item placement campaign. A first linking factor is identified based on a connection between a first device and the computer network via a first IP address during a first time period, and based on a connection between a second device and the computer network via the first IP address during the first time period. A number of devices that connect with the computer network via the first IP address is determined. A positive match probability is generated. A second and third linking factors are monitored. A negative match probability is determined based on the second and third linking factors. The first device is linked with the second device based on the positive and negative match probabilities.

Abstract: The present disclosure is directed to associating computing devices with each other based on computer network activity for selection of content items as part of an online content item placement campaign. A first linking factor is identified based on a connection between a first device and the computer network via a first IP address during a first time period, and based on a connection between a second device and the computer network via the first IP address during the first time period. A number of devices that connect with the computer network via the first IP address is determined. A positive match probability is generated. A second and third linking factors are monitored. A negative match probability is determined based on the second and third linking factors. The first device is linked with the second device based on the positive and negative match probabilities.

Abstract: A processing element for an advanced processing apparatus. The processing element comprises a silicon-insulator interface and a confining arrangement for confining one or more quantum dots in the semiconductor. The processing element has also a control arrangement for controlling a quantum property of the one or more quantum dots and operate the one or more quantum dots as a qubit to perform quantum processing.