Abstract: Disclosed herein are methods and systems for generating a fingerprint for verification of a reference object, such as a layer or ply during a composite laminate layup procedure. An exemplary method includes generating a plurality of images of the reference object from a plurality of angles, removing at least one lighting effect from at least one reference image to generate at least one processed image, generating a reference fingerprint for the reference object based on the at least one processed image, generating at least one candidate image of a candidate object, generating a candidate fingerprint for the candidate object based on the at least one candidate image, comparing the candidate fingerprint and the reference fingerprint to determine whether a correlation exists between the candidate fingerprint and the reference fingerprint, and generating an alert based on the comparison of the candidate fingerprint and the reference fingerprint.

Abstract: An image processing apparatus for processing an image acquired by imaging a living body includes: a blood vessel candidate region extraction unit configured to extract a plurality of blood vessel candidate regions from the image; an identical blood vessel candidate region extraction unit configured to extract, from among the plurality of blood vessel candidate regions, a blood vessel candidate region group estimated to form a line shape when integrated, as an identical blood vessel candidate region; an evaluation value calculation unit configured to calculate one or more kinds of evaluation values for evaluating a likelihood that the identical blood vessel candidate region corresponds to an identical blood vessel; and a blood vessel region discrimination unit configured to discriminate whether or not the identical blood vessel candidate region forms an identical blood vessel region, based on the evaluation values.

Abstract: The present application provides a user configurable test system for set-top boxes (STB) and other consumer devices providing video output. In particular, it provides for a method of improving an Optical Character Recognition (OCR) process in such test systems.

Abstract: In various embodiments, a system and method for recognizing and integrating datasets disclosed. The system comprises a processor and a memory unit. A training dataset is developed that forms the basis to measure similarities between and among the datasets. Incoming datasets are examined for features and a measurement is made to determine similarity with datasets in the training dataset. An estimate can be made of the probability that an incoming dataset contains specified attributes. The incoming dataset can be assigned an attribute based on the probability estimate.

Abstract: Techniques for leveraging a combination of audio-based and vision-based cues for voice command-and-control are provided. In one embodiment, an electronic device can identify one or more audio-based cues in a received audio signal that pertain to a possible utterance of a predefined trigger phrase, and identify one or more vision-based cues in a received video signal that pertain to a possible utterance of the predefined trigger phrase. The electronic device can further determine a degree of synchronization or correspondence between the one or more audio-based cues and the one or more vision-based cues. The electronic device can then conclude, based on the one or more audio-based cues, the one or more vision-based cues, and the degree of synchronization or correspondence, whether the predefined trigger phrase was actually spoken.

Abstract: A system for creating an application for a portable electronic device includes: a template selector to select an application template from a repository of application templates; a step-by-step creator module to receive user input, and to insert the user input at one or more placeholders in said application; a button inserter to insert into said application code that causes said portable electronic device to contact a third party, via a pre-defined communication method, upon user selection of a displayed button.

Abstract: The current document is directed to methods and systems for identifying symbols corresponding to symbol images in a scanned-document image or other text-containing image, with the symbols corresponding to Chinese or Japanese characters, to Korean morpho-syllabic blocks, or to symbols of other languages that use a large number of symbols for writing and printing. In one implementation, the methods and systems to which the current document is directed carry out an initial processing step on one or more scanned images to identify a subset of the total number of symbols frequently used in the scanned document image or images. One or more lists of graphemes for the language of the text are then ordered in most-likely-occurring to least-likely-occurring order to facilitate a second optical-character-recognition step in which symbol images extracted from the one or more scanned-document images are associated with one or more graphemes most likely to correspond to the scanned symbol image.

Abstract: An image processing apparatus includes: a text area extractor that extracts multiple text areas from image data including texts; a font size calculator that calculates the font sizes of characters in each text area; a complexity calculator that calculates the complexities of characters in each text; a necessary resolution calculator that calculates a necessary resolution for the each text area with reference to the font sizes and the complexities; a resolution determination portion that merges text areas into a layer if a difference in the necessary resolution between the text areas is equal to or less than a specified value and that determines a necessary resolution for the layer with reference to the necessary resolutions for the text areas constituting the layer; and a resolution adjustment portion that adjusts the necessary resolutions for the text areas constituting the layer to a value identical to the necessary resolution for the layer.

Abstract: Disclosed are various embodiments for digitally restoring content from a torn document. A computing device obtains an image of a document that has a tear. The computing device identifies portions of the image separated by a gap region representing the tear in the document. Content in the portions of the image adjacent to the gap region is then identified. The position of a portion of the image is incrementally adjusted to reduce the gap region without overlapping the portions. The position of the portion is adjusted to align the content along a boundary between the portions of the image.

Abstract: A video camera is provided for video-based anomaly detection that includes at least one imaging sensor configured to capture video sequences in a workplace environment having a plurality of machines therein. The video camera further includes a processor. The processor is configured to generate one or more predictions of an impending anomaly affecting at least one item selected from the group consisting of (i) at least one of the plurality of machines and (ii) at least one operator of the at least one of the plurality of machines, using a Deep High-Order Convolutional Neural Network (DHOCNN)-based model applied to the video sequences. The DHOCNN-based model has a one-class SVM as a loss layer of the model. The processor is further configured to generate a signal for initiating an action to the at least one of the plurality of machines to mitigate expected harm to the at least one item.

Abstract: Representative implementations of devices and techniques provide a system for categorizing electronically stored information without the need for user input, direction, or guidance. In an implementation, the system determines meanings of input textual data items and groups of textual data items, identifies equivalent meanings between textual data items and between groups of textual data items, and outputs user-selected information that is categorized, indexed, and searchable.

Abstract: A learning support device includes a storage portion which stores the images of model characters, an image reading portion which reads a practice sheet to generate image data, a determination portion which extracts, as an image of a determination target character, an image of a handwritten character present within the image data on the practice sheet, which acquires, from the storage portion, the image of the model character and which compares the image of the model character with the image of the determination target character so as to perform a pass/fail determination, a generation portion which generates image data on a report that includes result information indicating the result of the pass/fail determination and an output portion which outputs the report including the result information.

Abstract: A method of generating a region-based representation of a document is disclosed. A global compositing sequence is generated based on a predetermined rule, using fill data and at least one compositing operation associated with a plurality of objects of the document, to form an object-based representation of the document. The region-based representation of the document is generated based on a further compositing sequence determined for regions formed using the object-based representation. The method also determines whether at least one of the regions satisfies the predetermined rule using a relative arrangement of the objects in the object-based representation. Where the region satisfies the predetermined rule, a reference to the global compositing sequence is created. Where the region does not satisfy the predetermined rule, a local compositing sequence is generated using fill data and compositing operations associated with the objects contributing to the region.

Abstract: An image processing device includes a processor including hardware, the processor being configured to calculate comparison result information through a comparison process performed on the results of a census transform process performed on a first image and the results of the census transform process performed on a second image, set weight information, calculate a cost using the comparison result information and the weight information, calculate the amount of disparity using the cost, set a first weight having as low degree of contribution to the cost on a neighboring pixel which is determined to be affected by noise to a large extent among a plurality of neighboring pixels, and set a second weight having a high degree of contribution to the cost on a neighboring pixel which is determined to be affected by noise to a small extent among the plurality of neighboring pixels.

Abstract: A method of augmenting training data includes converting a feature sequence of a source speaker determined from a plurality of utterances within a transcript to a feature sequence of a target speaker under the same transcript, training a speaker-dependent acoustic model for the target speaker for corresponding speaker-specific acoustic characteristics, estimating a mapping function between the feature sequence of the source speaker and the speaker-dependent acoustic model of the target speaker, and mapping each utterance from each speaker in a training set using the mapping function to multiple selected target speakers in the training set.

Abstract: A computer implemented method for hashing an image is provided that includes: receiving a reference image frame; deriving an array of reference hash values to represent the reference image frame, wherein the array of reference hash values includes a first reference hash value, a second reference hash value, and a third reference hash value; receiving an test image frame; deriving an array of hash values to represent the test image frame, wherein the array of hash values includes a first test hash value, a second test hash value, and a third test hash value; subtracting the array of test hash values representing the test image frame from the array of reference hash values representing the reference image frame to produce a delta array, wherein the delta array is indicative of an area where the test image frame differs from the reference image frame.

Abstract: The location of a user's head, for purposes such as head tracking or motion input, can be determined using a two-step process. In a first step, at least one image is captured including a representation of at least a portion of the user, with distance information also being obtained. The distance information can be used to segment the at least one image into a foreground portion, which then can be analyzed to recognize a head and shoulder signature of a user. In a second step, a contour of the foreground portion can be determined, and a center point of that contour determined. The distances from the center point to locations along the contour can be used to locate transition points associated with the head and shoulders. A center point of the portion of the contour between the transition points gives an approximation of the relative head position.

Abstract: Systems and methods are disclosed for computer vision and object detection by extracting tracks of moving objects on a set of video sequences; selecting a subset of tracks for training; rendering a composite of each selected track into a single image; labeling tracks using the rendered images; training a track classifier by supervised machine learning using the labeled tracks; applying the trained track classifier to the remainder of the tracks; and selecting tracks classified with a low confidence by the classifier.

Abstract: A method and system for performing video content analysis based on two-dimensional image data and depth data are disclosed. Video content analysis may be performed on the two-dimensional image data, and then the depth data may be used along with the results of the video content analysis of the two-dimensional data for tracking and event detection.

Abstract: A query parser that converts query definition into a query graph and decides the execution order of operators is installed, a set of consecutive operators in the execution order is called a stage, the total of calculation costs of operators configuring each stage is called a calculation cost of the stage, the query graph is divided into multiple stages such that the calculation cost of each stage becomes a value less than a value dividing the total cost of all operators by the number of calculation cores, and each calculation core extracts tuples one by one from an input stream, and, when taking charge of and executing processing of the tuples from the entrance to exit of the query graph, before the execution of each stage, confirms whether processing of the stage is completed for a tuple previous to a charge tuple.

Abstract: Embodiments of the present application relate to a method, apparatus, and system for detecting a specified image identifier. The method includes retrieving a target image to be detected from a predetermined area, binarizing the target image to be detected to obtain a target binary image to be detected, calibrating connected domains of the target binary image to be detected, successively retrieving image features of candidate connected domains, and comparing the image features corresponding to the candidate connected domains to image features of a standard specified identifier image, wherein the candidate connected domains are determined based at least in part on the calibration of the connected domains, and determining a candidate connected domain as the location of the specified identifier image based at least in part on the comparison of the image features corresponding to the candidate connected domains to image features of the standard specified identifier image.

Abstract: An image correction method includes: obtaining information regarding at least one of brightness and colors of pixels constituting an input image, the input image comprising a plurality of regions classified according to whether the at least one of the brightness and the colors of the pixels are substantially uniformly distributed in a corresponding region; determining a weight with respect to at least one pixel based on the obtained information; and correcting the input image with respect to the at least one pixel based on the determined weight.

Abstract: A barcode reader may perform image processing functions to generate distinct image data records from the frame of image data of a barcode, select an image data record from the distinct image data records and decode the selected image data record. Each image data record may be generated by applying a distinct image processing function to the frame of image data. The barcode reader may capture multiple frames of image data in sequence based on image capture parameters. At least one of the multiple frames of image data may be captured with a distinct parameter value. The image capture parameters may include an exposure setting, a gain setting, a resolution setting, and/or an illumination setting.

Abstract: Means which enables image conversion in which a plurality of conversion results can be output without once saving all of video-image data, which has been input from image-pickup means, in a storage medium is provided. A single line memory having a plurality of lines is used while switching the role thereof for a reading use by a video-image converting means and a use for inputting image data from the image-pickup means. The image converting means obtains an input image, which is in the line memory, and carries out conversion of the input image based on a conversion specifying means interpreted by an instruction decoder.

Abstract: A method for determining an encoding used for a sequence of bytes may be provided. The method comprises providing a set of candidate code pages and transforming them into different groups of sequences of bytes, wherein each group of sequences of bytes corresponds to one of the candidate code pages. Thereby each code point is transformed by applying a transformation from one of the candidate code pages to a reference code point value relating to a reference encoding for each code point. The method comprises further separating each of the transformed sequences of bytes into groups of tokens, wherein each group of tokens relates to one candidate code page, and providing an index relating to a text corpus. Furthermore, the method comprises selecting a code page from the set of candidate code pages at least partially based on how many tokens are found in the index.

Abstract: A method of augmenting training data includes converting a feature sequence of a source speaker determined from a plurality of utterances within a transcript to a feature sequence of a target speaker under the same transcript, training a speaker-dependent acoustic model for the target speaker for corresponding speaker-specific acoustic characteristics, estimating a mapping function between the feature sequence of the source speaker and the speaker-dependent acoustic model of the target speaker, and mapping each utterance from each speaker in a training set using the mapping function to multiple selected target speakers in the training set.

Abstract: Disclosed is a computer implemented method for identifying a component tile within a target image. The method receives a plurality of distinct component tiles and overlays the plurality of component tiles to form an overlaid image. The overlaying is based on an embedded parameter value for each component tile. The method compares the target image with the overlayed image to determine a matching parameter value, and identifies a component tile within the target image by determining that the embedded parameter value of the component tile is the closest of the embedded parameter values to the matching parameter value.

Abstract: Disclosed are image recognition apparatuses and methods which detect subject objects by configuring effective candidate regions for the subject objects in a target image. The apparatus includes an image inputting part receiving at least one image; an effective candidate region configuring part configured to receive a user input including information on reference positions of effective candidate regions and an upper limit and a lower limit of the effective candidate regions, and to configure the effective candidate regions based on the user input; and an effective region determining part configured to select an effective region meeting a preconfigured threshold among the effective candidate regions configured based on the user input. Therefore, since a complex conventional camera calibration procedure is not necessary, time and cost can be saved.

Abstract: A vehicle remote control system is capable of controlling an operation device that corresponds to an operation command when the operation command for an image transmitted from a user terminal is input in a remote terminal. The vehicle remote control system includes a user terminal for transmitting an image of an operation object of a vehicle to a remote terminal, the remote terminal displays an image transmitted from the user terminal and when an operation command for an operation device displayed on the image is input, the remote terminal transmits a control signal, which is to control an operation of the operation device corresponding to the input operation command, to the vehicle, and the vehicle controls a function of the operation device according to the control signal.

Abstract: Methods and systems herein provide for color conversion of image data to another color space. Such color conversion includes converting image data to a color space by identifying color regions in the image data. One color conversion system herein includes a color region identifier operable to select color values in the image data, determine numerical centers of the selected color values, and generate color regions, or color value “clusters”, based on the selected color values and the numerical centers. The color conversion system also includes an optimization module operable to refine the numerical center of each color region, determine a boundary for each color region based on the refined center, and remove a portion of the color cluster centers to optimize a number of the color regions for color conversion processing.

Abstract: The present disclosure involves the receipt of inventory items in a materials handling facility. In one embodiment, a listing of inventory items associated with an inventory is maintained in a memory accessible to a computing device. An attempt is made to identify a match between a first image of a receivable item and a second image of one of the inventory items. If a match is successfully identified, an identifier associated with the one of the inventory items is rendered, where the identifier is to be associated with the receivable item.

Abstract: Disclosed herein are methods and systems for generating a fingerprint for verification of a reference object, such as a layer or ply during a composite laminate layup procedure. An exemplary method includes the steps of generating at least one reference image of a reference object; removing lighting effects from the at least one reference image to create at least one processed image; generating a reference fingerprint for the reference object based on the at least one processed image; generating at least one candidate image of a candidate object; generating a candidate fingerprint for the candidate object based on the at least one candidate image; and comparing the candidate fingerprint and the reference fingerprint to determine a correlation. An alert is generated based on the comparison. The alert is indicative that the correlation between the candidate fingerprint and the reference fingerprint exists.

Abstract: A mobile device with camera automatically captures an image of a check from a video sequence. A computing application assesses quality metrics of a frame of the video and, if acceptable, initiates capture of the check in that frame without user selection. Metrics include an aspect ratio of the check, image quality of the routing transit symbols that delineate a routing transit number on a MICR line of the check, distances between the routing transit symbols and to an edge of the check, recognition of digits of the routing transit number, checksum of the routing transit numbers, and image sharpness. Other embodiments note cropping of the check from the background of the image, properly orienting the check for viewing, and providing color coded visual feedback to users about the quality of the image frame about the check, to name a few.

Abstract: An estimation method executed by a computer includes: extracting, from an image, a plurality of characteristic points satisfying a certain requirement regarding changes in gray levels between the plurality of characteristic points and surrounding points; identifying, as map points from the plurality of characteristic points, characteristic points existing on planes, by excluding corners of an object depicted on the image; extracting, from another image, another plurality of characteristic points satisfying the certain requirement; executing matching of the another plurality of characteristic points with the map points based on a region including the map points; and estimating, based on results of the matching, a position and an orientation of an imaging device while the another image is captured.

Abstract: Various approaches enable a user to capture image information (e.g., still images or video) about an object of interest such as the sole of a shoe or other piece of footwear (e.g., a sandal) and receive information about items that are determined to match footwear based at least in part on the image information. For example, an image analyze service or other similar service can analyze the images to determine a type of shoe included within the images based at least in part on patterns of other distinguishing features of the sole of the shoe. The image analysis service can aggregate the results and can provide information about the results as a set of matches or results to be displayed to a user in response to a visual search query. The information can include, for example, descriptions, contact information, availability, location data, pricing information, and other such information.

Abstract: Applications usually require users to present passwords as a form of identification in order to access user accounts. To improve the security and convenience for accessing such accounts, tokenized passwords may be used in place of or in addition to traditional passwords. Client devices retrieve password rules from an application associated with the user account, and retrieve token tables based on the password rules. The client device receives information from the user for use as a password seed. Using the password seed as an input to the token tables, the client device generates a tokenized password. The tokenized password is transmitted to the application for association with the user account. The tokenized password is not saved at the client device but is re-generated each time the user accesses the account, improving the security of the token-driven password generation system.

Abstract: This posture state estimation device is capable of estimating with high accuracy the posture state of an object. The posture state estimation device (100) is a device for estimating the posture state of an object having a plurality of sections connected by joints on the basis of image data that images the object, and has a section candidate extraction unit (140) for extracting a section candidate for a section from the image data, a complementary section candidate extraction unit (160) which estimates that a portion of an unextracted section for which a section candidate has not been extracted is being shadowed by an already extracted section for which a section candidate has been extracted in order to extract a section candidate of the unextracted section, and a posture state estimation unit (170) for estimating the posture state of the object on the basis of the extracted section candidate.

Abstract: One or more previous actual results are retrieved from a software test. The longest common subsequence of data of the one or more previous actual results is determined. The longest common subsequence of data is removed to create remaining common data. The remaining common data is classified resulting in a matched portion of data and an unmatched portion of data. Classification is done by dynamic programming. Matched portions of data are identical. Unmatched portions of data are different. If an existing class exists, unmatched portions of the remaining common data are applied to the existing class. A new class of data is created. The unmatched portions of the remaining common data not applied to an existing class is applied to the new class. An expected test result is created using the longest common subsequence of data, the matched portions of the common data, and the classified common data.

Abstract: Image cropping suggestion using multiple saliency maps is described. In one or more implementations, component scores, indicative of visual characteristics established for visually-pleasing croppings, are computed for candidate image croppings using multiple different saliency maps. The visual characteristics on which a candidate image cropping is scored may be indicative of its composition quality, an extent to which it preserves content appearing in the scene, and a simplicity of its boundary. Based on the component scores, the croppings may be ranked with regard to each of the visual characteristics. The rankings may be used to cluster the candidate croppings into groups of similar croppings, such that croppings in a group are different by less than a threshold amount and croppings in different groups are different by at least the threshold amount. Based on the clustering, croppings may then be chosen, e.g., to present them to a user for selection.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for classifying one or more document images based on its content by determining blocks layout of the document image; recognizing the document image to obtain digital content data representing text content or the potential graphical content of the image; calculating feature values of the document image for features based on the digital content data and the blocks layout; and classifying the document image as belonging to one of document classes based on the calculated feature values.

Abstract: An image processing device that performs image processing on a composite image obtained by merging a first image and a second image having different exposure conditions. A data acquiring unit acquires the composite image and region data indicating a target region of the composite image. A image processing unit performs different image processes between the target region and a region other than the target region based on the region data. The images include a region on which a moving subject is rendered. In the region on which the moving subject is rendered, the composite image is generated by using a pixel value of one of the first image and the second image. The region data represents one or a plurality of regions generated based on the region of the composite image, on which the moving subject is rendered, as the target region.

Abstract: An estimation method executed by a computer includes: extracting, from an image, a plurality of characteristic points satisfying a certain requirement regarding changes in gray levels between the plurality of characteristic points and surrounding points; identifying, as map points from the plurality of characteristic points, characteristic points existing on planes, by excluding corners of an object depicted on the image; extracting, from another image, another plurality of characteristic points satisfying the certain requirement; executing matching of the another plurality of characteristic points with the map points based on a region including the map points; and estimating, based on results of the matching, a position and an orientation of an imaging device while the another image is captured.

Abstract: A universal serial bus device includes at least two input interfaces, an input interface control unit, and an image input interface. Each input interface of the at least two input interfaces is coupled to an image sensor for receiving images generated by the image sensor and an identification bit corresponding to the image sensor. The input interface control unit is coupled to the at least two input interfaces for controlling the at least two input interfaces to receive images generated by the at least two image sensors and identification bits corresponding to the at least two image sensors in turn when the images generated by the at least two image sensors are used for synthesizing three-dimensional images. The image input interface is used for receiving and transmitting the images generated by the at least two image sensors and the identification bits corresponding to the at least two image sensors.

Abstract: An information push method, includes acquiring a photo of an environment in which a client is located; recognizing a target object from the photo and collecting statistics on a frequency value or a frequency of appearance; and pushing related information of the target object to the client according to the frequency value or the frequency. An information push system, a digital television receiving terminal, and a computer storage medium are further provided. Statistics are collected on quantized data of how often a target object appears in an environment in which a client is located by using a scientific and technical means and the statistical data is used as a reference for push.

Abstract: An image processing system is described herein in which a multi-line processing block has multiple inputs and multiple outputs. In order to provide the multiple outputs the multi-line processing block has multiple processing units operating in parallel on the multiple inputs. The multiple outputs of the multi-line processing block are coupled to corresponding multiple inputs of a subsequent multi-line processing block in the image processing system.

Abstract: According to one embodiment of the present invention, a computerized method for effecting payment by a check includes electronically receiving payment information for a check drawing on a checking account of an account holder, retrieving from a storage location an image replacement document template associated with the checking account in response to receiving the payment information, and generating an image replacement document representative of the check by inserting the payment information into respective fields of the image replacement document template. The payment information includes a date, a payee, a dollar amount, a legal amount, and a signature.

Abstract: The inventive data processing system and method enable recognition, matching, and/or identification of images and/or of objects, utilizing at least one novel pleographic data processing technique.

Abstract: A computer-implemented method for creating an image product by accurately grouping faces includes receiving an initial set of face groups for a plurality of face images, training classifiers between pairs of face groups in the initial set of face groups using image-product statistics by a computer processor, classifying the plurality of face images by classifiers to output binary vectors for the plurality of face images by the computer processor, calculating a value for an improved similarity function using the binary vectors for each pair of the plurality of face images, grouping the plurality of face images into modified face groups based on values of the binary similarity functions by the computer processor, and creating an image product based at least in part on the modified face groups.

Abstract: Implementations relate to verifying labels for images using image recognition. In some implementations, a method includes obtaining an image associated with location information, obtaining one or more descriptor labels associated with the location information, determining one or more recognized image features depicted in the image, comparing the recognized image features with the descriptor labels, and determining one or more verified labels from the one or more descriptor labels. The verified labels are determined to describe at least one of the one or more recognized image features depicted in the image based on the comparing of the recognized image features with the descriptor labels.

Abstract: Transfer learning is the task of leveraging the information from labeled examples in some domains to predict the labels for examples in another domain. It finds abundant practical applications, such as sentiment prediction, image classification and network intrusion detection. A graph-based transfer learning framework propagates label information from a source domain to a target domain via the example-feature-example tripartite graph, and puts more emphasis on the labeled examples from the target domain via the example-example bipartite graph. An iterative algorithm renders the framework scalable to large-scale applications. The framework propagates the label information to both features irrelevant to the source domain and unlabeled examples in the target domain via common features in a principled way.