Abstract: An apparatus includes a hardware sensor array including a plurality of pixels arranged along at least a first dimension and a second dimension of the array, each of the pixels capable of generating a sensor reading. A hardware scanning window array includes a plurality of storage elements arranged along at least a first dimension and a second dimension of the hardware scanning window array, each of the storage elements capable of storing a pixel value based on one or more sensor readings. Peripheral circuitry for systematically transfers pixel values, based on sensor readings, into the hardware scanning window array, to cause different windows of pixel values to be stored in the hardware scanning window array at different times. Control logic coupled to the hardware sensor array, the hardware scanning window array, and the peripheral circuitry, provides control signals to the peripheral circuitry to control the transfer of pixel values.

Abstract: A method of identifying, with a camera, an object in an image of a scene, by determining the distinctiveness of each of a number of attributes of an object of interest, independent of the camera viewpoint, determining the detectability of each of the attributes based on the relative orientation of a candidate object in the image of the scene, determining a camera setting for viewing the candidate object based on the distinctiveness of an attribute, so as to increase the detectability of the attribute, and capturing an image of the candidate object with the camera setting to determine the confidence that the candidate object is the object of interest.

Abstract: An electronic device with a display, processor(s), and memory displays a video monitoring user interface on the display, the video monitoring user interface including video information in a first region and an event timeline in a second region. The electronic device obtains identification of a new event category and, in accordance with a determination that the new event category is associated with one or more past motion events, updating display of the event timeline to include a respective event indicator for each of the one or more past motion events.

Abstract: A computer system processes a video stream to detect a start of a first motion event candidate in the video stream, and in response to detecting the start of the first motion event candidate in the video stream, initiates event recognition processing on a first video segment associated with the start of the first motion event candidate. Initiating the event recognition processing further includes: determining a motion track of a first object identified in the first video segment; generating a representative motion vector for the first motion event candidate based on the motion track of the first object; and sending the representative motion vector for the first motion event candidate to an event categorizer, where the event categorizer assigns a respective motion event category to the first motion event candidate based on the representative motion vector of the first motion event candidate.

Abstract: An object tracking apparatus, method and computer-readable medium for detecting an object from output information of sensors, tracking the object on a basis of a plurality of detection results, generating tracking information of the object represented in a common coordinate system, outputting the tracking information, and detecting the object on a basis of the tracking information.

Abstract: An image auditing method and system may be provided. Video surveillance equipment may be operated in coordination with at least one digital computer across network architecture. The video surveillance equipment may provide a computer with footage of a transactions occurring in a target area. The footage may be filtered into at least one image of a transaction. The image may be categorized based on at least one transaction characteristic. The transaction data may be compared to transaction records from a point of sale and analyzed for any discrepancies.

Abstract: A method, system, and computer program product, for detecting objects of interest in a digital image. At least positional data associated with a vehicle is received. Geographical information associated with the positional data is received. A probability of detecting an object of interest within a corresponding geographic area associated with the vehicle is determined based on the geographical data. The probability is compared to a given threshold. An object detection process is at least one of activated and maintained in an activated state in response to the probability being one of above and equal to the given threshold. The object detection process detects objects of interest within at least one image representing at least one frame of a video sequence of an external environment.

Abstract: A method for instant recognition of traffic lights countdown image that can quickly scan and confirm the circular feature image of a traffic light, and retrieve the countdown image thereof by calculating the displacement ratio from the circular image, then enhance, cut and converse the countdown image to display a feature image thereof, and proceed similarity comparison with collected data to calculate the percentage of similarity. The method eventually brings out a result from the image comparisons, so as to fulfill the effectiveness of searching and instantly recognizing the countdown image of a traffic light.

Abstract: Method and apparatus implemented for measuring a gaze comprising recognizing the face of a user by using a camera provided in a vehicle; setting an initial k value by comparing the face of the user and face information of a database; and calculating a gaze point by using the k value. An interesting point by using a screen device of the vehicle is detected, the k value recalculated by comparing the gaze point and the interesting point; and the gaze of the user corrected according to the recalculated k value.

Abstract: Provided is a system for identifying a drug container that includes an image capture device configured to capture an optical image of a portion of a label provided to the drug container, and a non-transitory computer storage medium storing a plurality of features for each of a plurality of different drugs included in a database. The features associated with each of the plurality of different drugs are suggestive of an identity of a drug identity but do not, alone, positively identify the drug identity. A processing component is configured to receive data representing the optical image transmitted by the image capture device and to identify a candidate for the drug identity based on the plurality of features associated with the candidate.

Abstract: When there is a possibility that a third character region is redundantly selected in both a case where the line extraction process is performed starting from a first character region and a case where the line extraction process is performed starting from a second character region located in a line different from a line containing the first character region, the line recognition unit determines which line to incorporate the third character region in, by comparing a case of incorporating the third character region into the line starting with the first character region, with a case of incorporating the third character region into the line starting with the second character region.

Abstract: Certain embodiments of these teachings take inputs of a) an image to be segmented and b) a set of user input markers that identify at least a foreground of said image. From these inputs are determined strong foreground regions Sf, strong background regions Sb and ambiguous regions G. Each ambiguous region Gi is classified as either a weak foreground region Wf or a weak background region Wb by comparing color of each ambiguous region Gi against color of regions adjacent thereto and merging the respective ambiguous region Gi with its adjacent region having a most similar color. The strong foreground regions Sf are also merged with the weak foreground regions Wf. What is output therefrom is a foreground image of the image to be segmented, separate and distinct from any region that is classified as one of the strong background regions or weak background regions.

Abstract: Methods and electronic devices are adapted to facilitate the detection of text and computer generated graphics in digital imagery for encoding such content in a manner to preserve details. According to one example, an electronic device can mathematically combine pixel values associated with respective pixels from a subgroup of pixels of a digital image according to a plurality of predefined patterns, where each predefined pattern is different from the other predefined patterns. If the result from the mathematical combination is greater than or equal to a predefined threshold, the subgroup of pixels may be determined to include text content and/or computer generated graphic content. On the other hand, if the result from the mathematical combination is less than the predefined threshold, the subgroup of pixels may be determined to not include text content or computer generated graphic content. Other aspects, embodiments, and features are also included.

Abstract: A medical image processing apparatus comprises a structure identification unit configured to automatically identify at least one anatomical structure of a medical image data set, and a metadata unit configured to validate or populate metadata associated with the medical image data set based on the identified at least one anatomical structure.

Abstract: An imaging apparatus and method is disclosed for diagnosis, which includes a closing processing performed on a cross-sectional image, which is obtained based on light interference data and is orthogonal to a blood vessel axis, based on a morphological operation in order to detect low concentration site having a size less than or equal to the a predetermined size which is smaller than that of the vascular lumen. Moreover, a cross-sectional image before the processing is subtracted from the obtained cross-sectional image and the cross-sectional image after the subtraction is displayed.

Abstract: A method for displaying one or more images in an electronic device is provided, which includes displaying a first image; retrieving at least one second image on the basis of additional information of the first image; comparing at least one first feature point of the first image with at least one second feature point of the at least one second image; displaying information on whether at least one recommended image with respect to the first image exists, based on a result of the comparison; and if the at least one recommended image exists, displaying the at least one recommended image according to a user input.

Abstract: A method includes receiving image data corresponding to an image and detecting an object represented within the image. The method further includes selecting a portion of the image data that corresponds to the object and determining object quality values based on the portion of the image data. The method also includes determining an object category corresponding to the object and accessing object category metrics associated with the object category. The method includes performing a comparison of the object quality values to the object category metrics associated with the object category and initiating an action based on the comparison.

Abstract: An image recognition apparatus includes a storage unit which stores a plurality of pieces of identical recognition reference data which are used as references for recognizing a specific object from an image, an image recognition unit which recognizes the specific object by alternately making a switch between the plurality of pieces of recognition reference data, on a frame basis, stored in the storage unit, for consecutive frames of the image acquired by an image acquisition unit, and a recognition determining unit which, on condition that recognition results obtained by the image recognition unit by using the plurality of pieces of recognition reference data meet a predetermined matching condition, outputs the recognition results as effective recognition results.

Abstract: A method and system for analyzing video data in a security system. An analysis compares a current frame to a background model. The analysis system compares the background model to the current frame to identify changed pixel patches. The analysis system uses morphological image processing to generate masks based on the changed pixel patches. Next, the analysis system applies the masks to the background model and the current frames to determine whether the changed pixel patches are characteristic of abandoned or removed objects within the video data.

Abstract: Systems and methods for identifying transformations to be applied to at least part of a document image for improving the OCR quality. An example method comprises: constructing, by a computer system, an ordered list of transformations to be applied to an image comprising a character string, each transformation corresponding to a hypothesis asserted with respect to one or more characteristics of the image; applying, to the image, a leading transformation on the list to produce a transformed image; evaluating a quality of the transformed image to produce a quality estimate; and updating the list in view of the quality estimate.

Abstract: Methods and systems for detection of a construction zone sign are described. A computing device, configured to control the vehicle, may be configured to receive, from an image-capture device coupled to the computing device, images of a vicinity of the road on which the vehicle is travelling. Also, the computing device may be configured to determine image portions in the images that may depict sides of the road at a predetermined height range. Further, the computing device may be configured to detect a construction zone sign in the image portions, and determine a type of the construction zone sign. Accordingly, the computing device may be configured to modify a control strategy associated with a driving behavior of the vehicle; and control the vehicle based on the modified control strategy.

Abstract: A gravity-adaptive card separation mechanism, which keeps the friction forces of stacked hard cards basically consistent. The mechanism is arranged on a storage box for storing stacked hard cards, and is used for separating the hard cards individually.

Abstract: A printer is described having a control unit and/or image processor to determine a number of pixels by which to scale an image along an axis of the image, wherein, the scaling of the image is less than 10% of the image along the axis. The control unit and/or image processor is also to identify locations along the axis equal to the number. The control unit and/or image processor is also to remove a region of more than one pixel along the axis at each of the locations. The control unit and/or image processor is also to insert a region of more than one pixel along the axis at each of the locations, where, a difference between pixels removed and pixels inserted accounts for the number.

Abstract: A printer is described having a control unit and/or image processor to determine a number of pixels by which to scale the image along an axis of the image, wherein, the scaling of the image is less than 10% of the image along the axis. The control unit and/or image processor is to identify locations along the axis equal to the number. The identifying includes determining regions of lesser activity. The control unit and/or image processor is to remove a region of more than one pixel along the axis at each of the locations. The control unit and/or image processor is to insert a region of more than one pixel along the axis at each of the locations, wherein, a difference between pixels removed and pixels inserted accounts for the number.

Abstract: The invention relates to a method for printing a digital image on a piece of media by means of a printer system comprising a printer and a computer for storing digital objects, the method comprising the steps of printing at least one digital image on a piece of media, cutting the printed at least one digital image out of the piece of media, attaching an identifying object to the leftover of the piece of media, storing the leftover of the piece of media in a depository, and storing a digital object representing the leftover of the piece of media in a database on the computer, wherein the digital object comprises a reference to the attached identifying object.

Abstract: A two-dimensional information code is provided. Inside the information code, specification Patten regions, a recording region, and an information addition region are arranged. In the specification pattern region, predetermined-shape specification patterns are arranged. Data expressed by a plurality of types of cells are recorded in the data recording region. Additional information, which is different from the data recorded in the data recording region, can be recorded in the information addition region.

Abstract: A protective stripe for a bank card includes several layers interconnected with one another, as the first of the layers is an adhesive layer, a protective stripe is fixed to the bank card, a second layer is protective and bearing layer made of at least one of paper, plastic and foil, and a third layer is the carrier of ex officio information necessary for the operation of ATMs.

Abstract: A method for managing the operation of an object capable of contactless communication with a reader magnetically coupled to the object includes a phase for transmission of information from the object to the reader and includes a modulation of the impedance of a load connected across the terminals of the antenna of the object. Prior to the transmission phase, a monitoring phase includes a monitoring of the level of amplitude modulation of a modulated test signal present at the antenna of the object and resulting from a test modulation of the impedance of the load and a capacitive modification of the impedance of the load if this level is lower than a threshold.

Abstract: An RFID tag reading system affixed to a machine bearing housing is provided. The reading system includes a mobile data collector having an RFID reader for reading a unique identity of the RFID tag, an magnet electro-mechanically connected to the mobile data collector and a magnet mounting pad fixed to the machine housing. The magnet mounting pad having a ferromagnetic contact body for housing the magnet mounting pad and an RFID antenna disposed within the RFID tag for transmitting a unique identity of the RFID tag. The RFID tag is disposed within the ferromagnetic contact body. The magnet is magnetically connected to the magnet mounting pad. The mobile data collector automatically reads the unique RFID tag identity transmitted from the antenna of the RFID tag when the combination mobile data collector and magnet are placed onto the RFID mounting pad.

Abstract: Aspects herein describe new methods of determining optimal actions to achieve high-level goals with minimum total future cost. At least one high-level goal is inputted into a user device along with various observational data about the world, and a computational unit determines, though a method comprising backward and forward sweeps, an optimal course of action as well as emotions. In one embodiment a user inputs a high-level goal into a cell phone which senses observational data. The cell phone communicates with a server that provides instructions. The server determines an optimal course of action via the method of backward and forward sweeps, and the cell phone then displays the instructions and emotions to the user.

Abstract: A performance investigation tool (PIT) is described herein for investigating the performance of a distributed processing system (DPS). The PIT operates by first receiving input information that describes a graph processing task to be executed using a plurality of computing units. The PIT then determines, based on the input information, at least one time-based performance measure that describes the performance of a DPS that is capable of performing the graphical task. More specifically, the PIT can operate in a manual mode to explore the behavior of a specified DPS, or in an automatic mode to find an optimal DPS from within a search space of candidate DPSs. A configuration system may then be used to construct a selected DPS, using the plurality of computing units. In one case, the graph processing task involves training a deep neural network model having a plurality of layers.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a deep neural network. One of the methods for training a deep neural network that includes a low rank hidden input layer and an adjoining hidden layer, the low rank hidden input layer including a first matrix A and a second matrix B with dimensions i×m and m×o, respectively, to identify a keyword includes receiving a feature vector including i values that represent features of an audio signal encoding an utterance, determining, using the low rank hidden input layer, an output vector including o values using the feature vector, determining, using the adjoining hidden layer, another vector using the output vector, determining a confidence score that indicates whether the utterance includes the keyword using the other vector, and adjusting weights for the low rank hidden input layer using the confidence score.

Abstract: A dynamic time-evolution Boltzmann machine capable of learning is provided. Aspects include acquiring a time-series input data and supplying a plurality of input values of input data of the time-series input data at one time point to a plurality of nodes of the mode. Aspects also include computing, based on an input data sequence before the one time point in the time-series input data and a weight parameter between each of a plurality of input values of input data of the input data sequence and a corresponding one of the plurality of nodes of the model, a conditional probability of the input value at the one time point given that the input data sequence has occurred. Aspects further include adjusting the weight parameter so as to increase a conditional probability of occurrence of the input data at the one time point given that the input data sequence has occurred.

Abstract: An example system includes a similarity module, a selection module, and a messaging module. The similarity module may receive a first set of application identifiers identifying applications downloaded or installed on at least one digital device, compare the first set of application identifiers to a second set of application identifiers identifying applications of at least one other user, generate a similarity value based on the comparison, and when the similarity value exceeds a similarity threshold, determine that the first and second sets are sufficiently similar. If the first and second sets are sufficiently similar, the selection module may determine at least one application identifier in the second set that is not in the first set. The messaging module may provide a recommendation to the first user, the recommendation including the at least one application identifier in the second set that is not in the first set.

Abstract: Approaches are described for discovering a formation associated with an agent group engaging in an activity over a window of time. A formation analysis system computes first and second results for an objective function based on first and second sets of role assignments for each agent in the agent group at first and second moments in time, respectively. The formation analysis system iterates by: replacing the first set of role assignments with the second set of role assignments, and determining whether completion criteria have been met based at least in part on comparing the first result with the second result. If the completion criteria have not been met, then the formation analysis system replaces the second set of role assignments with a third set of role assignments that associate each agent in the first agent group with a different role assignment in the third set of role assignments at a third moment in time.

Abstract: A method and system to identify a time lagged indicator of an event to be predicted are described. The method includes receiving information including an indication of a factor, the factor being a different event than the event to be predicted, and identifying a window period within which the event is statistically correlated with the factor. The method also includes collecting data for a duration of the window period, the data indicating occurrences of the factor and the event, and identifying a time lagged dependency of the event on the factor based on analyzing the data.

Abstract: In a method for analyzing social media messages, the method includes one or more processors analyzing social media messages utilizing a set of topics and keywords associated with a brand. The method further includes one or more processors identifying social media messages that include information relating to the brand utilizing the analysis of social media messages utilizing the set of topics and keywords. The method further includes one or more processors determining relevancy scores for the identified social media messages that provide an indication of the percentage likelihood that a social media message is related to the brand. The method further includes one or more processors determining one or more recommendations of social media users associated with social media messages based on the determined relevancy scores.

Abstract: A system and method for predicting search term popularity is disclosed herein. A database system may comprise a first database cluster H and a second database cluster L. A machine learning algorithm is trained to create a predictive model. Thereafter, for each record in a database system, the predictive model is used to calculate a probability of the record being accessed. If the calculated probability of the record being accessed is greater than a threshold value, then the record in the first database cluster H; otherwise, the record is placed in the second database cluster L. Training the machine learning algorithm comprises inputting a training feature vector associated with the record into the machine learning algorithm, inputting a cost vector into the machine learning algorithm, and iteratively operating the machine learning algorithm on each record in the set of records to create a predictive model. Other embodiments are also disclosed herein.

Abstract: In many computing scenarios, individual profiles are generated from facts specified by, observed about, and/or inferred about individuals, and may be used to personalize services to such individual. Such facts may include details provoking a sensitivity of an individual, and it may be undesirable to reveal the collection and use of such facts to the individual; however, such facts may also enable accurately personalized service. These considerations may be balanced by partitioning the individual profile into a foreground profile, comprising facts that are revealed to the individual, and a background profile, comprising facts that are collected about but not revealed to the individual. Services may be covertly personalized for the individual based on the sensitive information stored in the background profile (e.g., restaurant recommendations that are overtly recommended based on the current location of the individual, and also covertly selected based on an inferred income level of the individual).

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting and localizing anomalies in large data sets. One of the methods includes identifying a user whose behavior is classified as anomalous during a particular time interval and determining observed community feature values for a community of users of which the user is a member. If observed user feature values are consistent with the observed community feature values, the behavior of the user is classified as not anomalous. If the observed user feature values are not consistent with the observed community feature values, the behavior of the user is classified as anomalous.

Abstract: A method of inferring intent in a hybrid network includes monitoring communications in the hybrid network between a plurality of members, triggering an estimation of an intent of one or more members of the hybrid network, estimating the intent, determining a confidence level of the intent, and triggering an action based on the confidence level.

Abstract: Systems and methods for optimal sizing of one or more grid-scale batteries for frequency regulation service, including determining a desired battery output power for the one or more batteries for a particular period of time. A battery size is optimized for the one or more batteries for the particular period of time, and the optimizing is repeated using different time periods to generate a set of optimal battery sizes based on at least one of generated operational constraints or quality criteria constraints for the one or more batteries. A most optimal battery is selected from the set of optimal battery sizes.

Abstract: A system for identifying a corrosion risk during the design of a mechanical assembly, the system comprising: a design data unit for storing design data representing the mechanical assembly; a corrosion data unit for storing corrosion data; and a processor configured to: obtain design data from the design data unit; obtain, from the corrosion data unit, corrosion data relevant to the obtained design data; make a comparison of the obtained design data with the obtained corrosion data to identify a corrosion risk associated with the design; and provide, based on said comparison, an indication of the corrosion risk.

Abstract: A method, apparatus, and system for a visual information builder for business rules are provided. By providing an additional interface layer over a general purpose business rule creation interface, role-based and context-sensitive interaction and presentation can be provided to abstract the complexity of the underlying service platform that supports the business rules. Templates are used to provide custom context-sensitive user interfaces and to hide complexity from the user by limiting the scope of the rule dictionary exposed to the user. The general rule building process is uniformly consistent across different contexts and operates similarly at the block and rule scale. Moreover, logical combinations are built using a consistent logical layout specifying logical operators and order of operations based on direction of expansion and relative positions.

Abstract: Computer-readable storage memory may include a) input memory having addressable blocks of random access memory storing an input data pattern, b) pattern input address memory having addressable blocks of random access memory, each of the addressable blocks storing a predetermined address of the input memory, c) current state address memory comprising a block of random access memory storing a current state address, and d) at least one next state memory having addressable blocks of random access memory, each of the addressable blocks storing predetermined data determining a next state address. The pattern input address memory and the at least one next state memory may each be sized with at least a number of addressable blocks as a maximum state address storable in the current state address memory. The current state address may index an addressable block of the pattern input address memory and the at least one next state memory.

Abstract: A content server provides for presentation to a user media items to a client device. Feedback is collected from the client device indicating user preference information for the media items and collects environmental information from the client device describing environmental configurations present during the presentation of the media items. Media features are identified that characterize the media items, and correlates the collected feedback, including sequences of feedback, with the identified media features to identify preferences of the user for the identified media features given particular configurations of the environmental information. The content server determines a current configuration of environmental information for the client device, and selects a selected media item responsive to the current configuration of environmental information and the preferences of the user for the identified media features or media items given particular configurations of the environmental information.

Abstract: Mathematical technologies for recommending content to a user based on a user's preferences are disclosed. Embodiments of these technologies can generate a probabilistic representation of a data set, and then adjust the probabilistic representation to reflect a user-specific weighting scheme. The user preference-adjusted representation of the data set can be used to recommend content to the user.

Abstract: To identify a scenario that will bear a good simulation result from among a plurality of scenarios used in an agent-based simulation with a reduced amount of computation, there is provided an information processing apparatus comprising a counting part configured to count the number of agents in each of a plurality of states at a middle of a simulation that involves a plurality of agents, and a generation part configured to generate characteristic data used for prediction of a result of the simulation based on the number of agents in each of the plurality of states.

Abstract: A method and system is provided for detecting at risk structures due to mask overlay that occur during lithography processes. The method can be implemented in a computer infrastructure having computer executable code tangibly embodied on a computer readable storage medium having programming instructions. The programming instructions are operable to obtain a simulation of a metal layer and a via, and determine a probability that an arbitrary point (x, y) on the metal layer is covered by the via by calculating a statistical coverage area metric followed by mathematical approximations of a summing function.

Abstract: Methods of characterizing or classifying graphical representation of numerical simulation results are disclosed. A training database is created in a computer system by including a plurality of graphical representations of respective results obtained from a plurality of numerical simulations. Each graphical representation is associated with a textual description of a pertinent feature related to the numerical simulations by user. A quality index with respect to the associated textual description is calculated for each graphical representation by application module using an autocorrelation technique of correlating all graphical representations with one another in the training database. A new graphical representation obtained from another numerical simulation can then be characterized with one of the textual descriptions and a corresponding confidence score by comparing the new graphical representation with all graphical representations in the training database.