Abstract: The Embodiments provides a method for detecting leakage stage associated with a multimedia. The method includes storing histograms associated with various stages of the multimedia. Further, the method includes receiving candidate histograms associated with various stages of a candidate multimedia, matching the stored histograms with the candidate histograms, and detecting a leakage stage associated with the multimedia in response to a match.

Abstract: System, method, and computer program product to provide an augmented image, by receiving an image, analyzing the image to identify at least two augmentation triggers comprising: (i) a predefined object in the image, and (ii) a predefined landmark in the image, and generating an augmented image based on the analysis of the image, comprising affecting the predefined object with a retrieved augmentation image and adding a fictional character to the augmented image.

Abstract: Evaluating an image is disclosed. A plurality of attributes of the image is analyzed. A determination is made that a portion of the attributes of the image imperfectly matches a reference attribute signature corresponding to a device. It is distinguished whether the imperfect match likely corresponds to a modification of the image.

Abstract: This invention provides an instantaneous method for a user or traveler to obtain a meaning of a symbol that is unfamiliar to said user. The symbol is captured in a format that is easily transmitted to a remote database server. Together with the symbol, the GPS coordinates of the location of the symbol must be sent to the server. The server performs an image matching search, and then uses the location information (GPS) to resolve multiple matches and to determine the meaning of the symbol and instantaneously transmits in the language of their choice the meaning to the user requesting the search.

Abstract: A computing system for automatically identifying individual regions in a digital image that include a human face, forming combined padded regions and automatically evaluating each of the regions including calculating a fitness score for each of the combined padded regions and ignoring at least one of the combined padded regions whose fitness score is below a known threshold.

Abstract: Systems and methods for improving visual object recognition by analyzing query images are disclosed. In one example, a visual object recognition module may determine query images matching objects of a training corpus utilized by the module. Matched query images may be added to the training corpus as training images of a matched object to expand the recognition of the object by the module. In another example, relevant candidate image corpora from a pool of image data may be automatically selected by matching the candidate image corpora against user query images. Selected image corpora may be added to a training corpus to improve recognition coverage. In yet another example, objects unknown to a visual object recognition module may be discovered by clustering query images. Clusters of similar query images may be annotated and added into a training corpus to improve recognition coverage.

Abstract: Provided are image processing method and apparatus. The method includes selecting one of a plurality of images matched in structure as reference image, and select another of the images as subject image; for a subject pixel in the subject image, determining a pixel corresponding to the subject pixel in the reference image; calculating similarity values of at least part of pixels in the reference image with respect to the pixel corresponding to the subject pixel; establishing weight coefficients based on the similarity values, and weighted averaging the subject pixel in the subject image to obtain a processed pixel value. With the above solutions, it is possible to use structure information of a higher-quality image in processing another image, and thus improve quality of the other image.

Abstract: A data processing apparatus which sequentially executes a verification process so as to recognize a target object, comprising: an obtaining unit configured to obtain dictionary data to be referred to in the verification process; a holding unit configured to hold a plurality of dictionary data; a verification unit configured to execute the verification process for the input data by referring to one dictionary data; a history holding unit configured to hold a verification result; and a prefetch determination unit configured to determine based on the verification result whether to execute prefetch processing in which the obtaining unit obtains in advance dictionary data to be referred to by the verification unit in a succeeding verification process, and holds the dictionary data in the holding unit before the succeeding verification process.

Abstract: An image reporting method is provided. The image reporting method comprises the steps of retrieving an image representation of a sample structure from an image source; mapping a generic structure to the sample structure, the generic structure being related to the sample structure and having at least coordinate data defined therein; determining one or more regions of interest within the sample structure based on content of the image representation of the sample structure; associating an annotation to at least one of the regions of interest; and generating a report based at least partially on one of the regions of interest and the annotation.

Abstract: An appliance control apparatus recognizes image features of an target appliance from an obtained image, calculates a degree of similarity between the image features of the target appliance and image features of a registered appliance, specifies the registered appliance corresponding to the image features in the case where the degree of similarity indicates a high similarity as the target appliance; calls up control information of the specified target appliance, and controls the target appliance.

Abstract: An apparatus includes a first acquisition unit configured to acquire main object information specifying a main object in generation of a layout image, a second acquisition unit configured to acquire object correlation information specifying an object having a correlation with the main object, an extraction unit configured to extract at least one image including the main object and at least one image including the object having the correlation with the main object from a plurality of images based on the acquired main object information and the acquired object correlation information acquired, and a generation unit configured to generate, using a layout template, a layout image in which the at least one image extracted by the extraction unit and including the main object and the at least one image extracted by the extraction unit and including the object having the correlation with the main object are laid out therein.

Abstract: Embodiments enable searching of portions of objects in images, including programmatically analyzing each image in a collection in order to determine image data that, for individual images in the collection, represents one or more visual characteristics of a portion of an object shown in that image. A user is enabled to specify one or more search criteria that includes image data, and a search result may be determined based on one or more images in the collection that show a corresponding object that has a portion that satisfies a threshold. The threshold is defined at least in part by the one or more search criteria.

Abstract: A method and system for character recognition are described. In one embodiment, it may use matched sequences rather than character shape to determine a computer legible result.

Abstract: A system including an image capturing unit configured to capture an image of at least one medical device monitoring a patient, a database including images of a plurality of medical devices, where each image corresponds to a particular medical device, and a data collection server configured to receive the at least one image, receive patient identification data corresponding to the patient, and identify the medical device in the image by comparing the received image with the images stored in the database and matching the received image with the images stored in the database.

Abstract: A method for processing data includes receiving a depth map of a scene containing a human hand, the depth map consisting of a matrix of pixels having respective pixel depth values. The method continues by extracting from the depth map respective descriptors based on the depth values in a plurality of patches distributed in respective positions over the human hand, and matching the extracted descriptors to previously-stored descriptors in a database. A pose of the human hand is estimated based on stored information associated with the matched descriptors.

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: Techniques for improved image disparity estimation are described. In one embodiment, for example, an apparatus may comprise a processor circuit and an imaging management module, and the imaging management module may be operable by the processor circuit to determine a measured horizontal disparity factor and a measured vertical disparity factor for a rectified image array, determine a composite horizontal disparity factor for the rectified image array based on the measured horizontal disparity factor and an implied horizontal disparity factor, and determine a composite vertical disparity factor for the rectified image array based on the measured vertical disparity factor and an implied vertical disparity factor. Other embodiments are described and claimed.

Abstract: Disclosed herein are methods, systems, and computer readable media for locking a computing device. Periodic images are received from a camera on a computing device. Each of the images is compared to a stored image of a user. A determination is made that one of the images does not match the stored image, and the computing device is locked upon determining that one of the images does not match the stored image.

Abstract: Performing word recognition operations to determine what an image of a word represents. The method includes accessing a first image. The first image represents an image version of a word. The method further includes accessing a second image. The second image also represents an image version of a word. Using a warp mesh, the method includes warping the second image to cause the second image to approximately match the first image by applying a mesh to the second image and moving vertices of the mesh to warp the second image. The difference between the warped second image and the unwarped first image are determined.

Abstract: An image pickup device includes an image acquiring unit, calculating unit, memory controlling unit, first judging unit and notification unit. The calculating unit calculates a degree of similarity between information of a specific subject contained in the image acquired by the acquiring unit and identification information of the specific subject registered in a registering unit. The memory controlling unit controls a memory unit to store the calculated degree of similarity such that the degree of similarity is associated with date/time information. The first judging unit judges whether the calculated degree of similarity is relatively low compared with predetermined number of other degrees of similarity based on a chronological change of the degrees of similarity. The notification unit notifies that the identification information registered in the registering unit is to be renewed when judged, by the first judging unit, that the calculated degree of similarity is relatively low.

Abstract: A method is provided that includes identifying a plurality of data sets, each data set is associated with a distribution model and each data set is associated with an image having a first noise level. The method includes partitioning the data sets into a plurality of groups and generating a best representative estimate for each group, the estimate is associated with a second noise level that is less than the first noise level. The method further includes annotating each group and receiving an input data set. The method includes assigning the input data set to a group and annotating the input data set according to that group's annotation.

Abstract: A system that incorporates teachings of the present disclosure may include, for example, sampling a variable effect distribution of viewing preference data to determine a first set of effects comprising a plurality of first distortion type effects associated with a first distortion type of a first image and to determine a second set of effects comprising a plurality of second distortion type effects associated with the second distortion type of a second image, calculating a preference estimate from a logistic regression model of the viewing preference data according to the first set of effects and the second set of effects, wherein the preference estimate comprises a probability that the first image is preferred over the second image, and selecting one of the first distortion type or the second distortion type according to the preference estimate. Other embodiments are disclosed.

Abstract: A technique for authenticating a user is described. During this authentication technique, an electronic device (such as a cellular telephone) captures multiple images of the user while the user moves the electronic device in a pre-defined manner (for example, along a path in 3-dimensional space), and determines positions of the electronic device when the multiple images were captured. Then, the electronic device compares the images at the positions with corresponding pre-existing images of the user captured at different points of view. If the comparisons achieve a match condition, the electronic device authenticates the user. In this way, the authentication technique may be used to prevent successful replay attacks.

Abstract: A visual quality assessment method and system are based on deriving a quality metric by comparing sub-band approximations of a distorted image and an undistorted version of the same image, providing a good compromise between computational complexity and accuracy. The sub-band approximations are derived from Discrete Wavelet (Haar) transforms of small image blocks of each image. Due to inherent symmetries, the wavelet transform is “blind” to certain types of distortions. But the accuracy of the method is enhanced, and the blindness of the transform is overcome, by computing quality metrics for the distorted image as well as computing quality metrics for a shifted version of the distorted image and combining the results.

Abstract: A video telephony system and a control method thereof are provided. The video telephony system includes a first mobile communication terminal and a second mobile communication terminal, wherein, during a video telephone call connection, the first mobile communication terminal receives a command from a user and sends the received command to the second mobile communication terminal and wherein the second mobile communication terminal executes the command received from the first mobile communication terminal and reconfigures multi-media data transmitted to the first mobile communication terminal.

Abstract: Functionality is described herein by which plural environment-sensing applications capture information from an environment in a fine-grained and least-privileged manner. By doing so, the functionality reduces the risk that private information that appears within the environment will be released to unauthorized parties. Among other aspects, the functionality provides an error correction mechanism for reducing the incidence of false positives in the detection of objects, an offloading technique for delegating computationally intensive recognition tasks to a remote computing framework, and a visualization module by which a user may inspect the access rights to be granted (or already granted) to each application.

Abstract: An image matching system is described for finding reference images that match a query image. The image matching system performs this operation in expeditious fashion by restricting the matching to a bounding region; the bounding region, in turn, may be associated with a location at which the query image may have been captured. In addition, the image matching system provides various mechanisms that expedite adding new reference images to an image index, to thereby provide a re-enforced learning mechanism of the image matching system.

Abstract: Methods and systems for analysis of image data generated from various reference points. Particularly, the methods and systems provided are useful for real time analysis of image and sequence data generated during DNA sequencing methodologies.

Abstract: A method for registering a first imaging detector to a surface projects a sequence of k images toward the surface, wherein k?4, wherein each of the k images has a pattern of lines that extend in a direction that is orthogonal to a movement direction. The pattern encodes an ordered sequence of labels, each label having k binary elements, such that, in the movement direction, any portion of the pattern that is k equal increments long encodes one label of the ordered sequence. The method obtains, for at least a first pixel in the first imaging detector, along at least one line that is parallel to the movement direction, a first sequence of k signal values indicative of the k binary elements of a first label from the ordered sequence of labels and correlates the at least the first pixel in the first imaging detector to the surface.

Abstract: Methods and systems for securing biometric templates and generating secret keys are provided. One or more images are received. Interest points are identified based on the received images, and a plurality of obfuscating data points are generated based on the interest points. An obfuscated template based on the interest points and the obfuscating data points is created and stored. A secret key can be encoded using a subset of at least one of the obfuscating data points and the interest points in the template.

Abstract: An embodiment discloses a method utilizing a device for handling multiple documents during scanning. The method includes receiving multiple documents on or within a sleeve to enable scanning of at least one of a first side and a second side of each of the documents in a single scanning operation. The method includes identifying one or more dimensional characteristics of the sleeve and each document arranged on or within the sleeve. The method further includes scanning at least one of the first side and the second side of each document. Moreover, the method includes tagging the scanned documents based on at least one of content characteristics and the dimensional characteristics of the documents.

Abstract: Various embodiments are directed to generating video data using temporally offset image data samples having disparate exposure times. Synthetic samples are generated for each of the pixels at a particular time period by computing, for each synthetic sample, a combined intensity of the captured samples that fall within the time period. Synthetic samples from adjacent pixels are grouped and image data in different groups is compared to identify matching groups. Video frames are constructed by combining image data from the captured samples based upon the matched images.

Abstract: Methods and systems for retrieving and processing medical diagnostic images are provided, comprising using picture analysis prioritization visualization and reporting system (“PAPVR system”) to determine whether each of one or more images from an image database or imaging device is of medical interest to a reviewing physician, determine whether one or more of the images is representative of the images, and provide the one or more images to a display and analysis system for review by a reviewing physician. The PAPVR system can provide the one or more images with a Key Image that is representative of the images. In addition, the PAPVR system can detect whether a patient suffers from a particular ailment, and provide a reviewing physician quantitative information that is relevant to the patient's condition.

Abstract: Provided are methods for determining and analyzing photometric and morphometric features of small objects, such as cells to, for example, identify different cell states. In particularly, methods are provided for identifying apoptotic cells, and for distinguishing between cells undergoing apoptosis versus necrosis.

Abstract: Methods and systems involving image processing extract from an image and estimate unique intrinsic characteristics (scanner pattern) of a biometric scanner, such as area type fingerprint scanner. The scanner pattern is permanent over time, can identify a scanner even among scanners of the same manufacturer and model, and can be used to verify if a scanner acquired an image is the same as the scanner used for biometric enrollment, i.e., to authenticate the scanner and prevent security attacks on it. One method comprises selecting pixels from an enrolled and query image, masking useful pixels from the images, computing a similarity score between the common pixels of the enrolled and query useful pixels, and comparing this score with a threshold to determine whether the query image has been acquired by the same scanner as the enrolled image. The method can further comprise inverting the pixel values and/or filtering the selected pixels.

Abstract: A pattern matching method for a scanning electron microscope comprises a step of performing pattern matching of only an upper layer pattern between an image (101) in which a pattern consisting of plural layers is represented and a template (104) in which the upper layer pattern of the plural layer pattern is selectively represented, thereby identifying the position of the pattern consisting of the plural layers. Then, information about the upper layer pattern is subtracted from the image (101), thus extracting shape information (108) about the lower layer pattern. Consequently, stable positioning or selective information extraction on a certain layer is enabled regardless of the state of the depths of a pattern formed in three dimensions or of the charge state of a sample.

Abstract: Methods and systems for operation upon one or more data processors for detecting image spam by detecting an image and analyzing the content of the image to determine whether the incoming communication comprises an unwanted communication.

Abstract: A quality control method for a machine for processing flat objects for producing packaging: A prepress file for packaging is used to define, in an extremely simple and quick way, masked zones which define which parts of the surface of the object are the parts in which the defects are not to be considered.

Abstract: Biometric matching technology, in which a watch list is managed, multiple images of a potential suspect are accessed, and parallel pre-processing of the multiple images is controlled. Based on the pre-processing, an image of the potential suspect to use in matching against the watch list is determined and the determined image is used to search sorted biometric data included in the watch list. A subset of persons from the watch list is identified based on the search and parallel analysis of the determined image of the potential suspect against detailed biometric data associated with the subset of persons in the watch list is controlled. Based on the parallel analysis, it is determined whether the potential suspect matches a person in the watch list and a result is outputted based on the determination.

Abstract: An image processing device includes an image sequence acquisition section that acquires an image sequence that includes a plurality of images, and a processing section that performs an image summarization process that deletes some of the plurality of images included in the image sequence acquired by the image sequence acquisition section to acquire a summary image sequence, the processing section selecting a reference image and a determination target image from the plurality of images, and determining whether or not the determination target image can be deleted based on the results of a process that utilizes deformation information about the reference image and the determination target image, and a process that utilizes a structural element that corresponds to an attention area.

Abstract: In one embodiment, a method of detecting centerline of a vessel is provided. The method comprises steps of acquiring a 3D image volume, initializing a centerline, initializing a Kalman filter, predicting a next center point using the Kalman filter, checking validity of the prediction made using the Kalman filter, performing template matching, updating the Kalman filter based on the template matching and repeating the steps of predicting, checking, performing, and updating for a predetermined number of times. Methods of automatic vessel segmentation and temporal tracking of the segmented vessel is further described with reference to the method of detecting centerline.

Abstract: A vector graphics classification engine and associated method for classifying vector graphics in a fixed format document is described herein and illustrated in the accompanying figures. The vector graphics classification engine defines a pipeline for categorizing vector graphics parsed from the fixed format document as font, text, paragraph, table, and page effects, such as shading, borders, underlines, and strikethroughs. Vector graphics that are not otherwise classified are designated as basic graphics. By sequencing the detection operations in a selected order, misclassification is minimized or eliminated.

Abstract: An automatic inspection system is provided for monitoring rail track for detecting and generating alerts for certain hazards to the operation of trains that may cause various safety concerns and even derailment. The monitoring is during normal railway service runs without interrupting the normal railway services. In one implementation, an imaging module is used on a passenger or freight train to capture video images of the rail track under the train in motion. In one implementation, the captured video images are automatically processed in a computer using a software module which is based on digital image processing techniques and algorithms to determine whether an irregularity is present on the rail track. In one implementation, video images containing detected irregularities on the rail track are transmitted to a control center for further analysis and possible alert.

Abstract: An image including a face is input (S201), a plurality of local features are detected from the input image, a region of a face in the image is specified using the plurality of detected local features (S202), and an expression of the face is determined on the basis of differences between the detection results of the local features in the region of the face and detection results which are calculated in advance as references for respective local features in the region of the face (S204).

Abstract: A method and apparatus for tracking an object, and a method and apparatus for calculating object pose information are provided. The method of tracking the object obtains object feature point candidates by using a difference between pixel values of neighboring frames. A template matching process is performed in a predetermined region having the object feature point candidates as the center. Accordingly, it is possible to reduce a processing time needed for the template matching process. The method of tracking the object is robust in terms of sudden changes in lighting and partial occlusion. In addition, it is possible to track the object in real time. In addition, since the pose of the object, the pattern of the object, and the occlusion of the object are determined, detailed information on action patterns of the object can be obtained in real time.

Abstract: A computing device receives a first user input at presence-sensitive display of the computing device, wherein the first user input corresponds to a portion of a desired non-textual object. The device displays a first graphical representation indicating the first user input at the touchscreen display, and determines a first non-textual object suggestion based upon at least the first user input. The device displays a second graphical representation indicating the first non-textual object suggestion, wherein the second graphical representation of the first non-textual object suggestion is displayed differently than the first graphical representation of the first user input, and detects an indication whether the first non-textual object suggestion corresponds to the desired non-textual object.

Abstract: The present invention relates to an operation method for executing games on mobile camera enabled terminal devices and to devices capable of executing the method. The method is based on hiding augmented reality messages in pictures by taking an image of an object, providing symbols; linking the symbols to the image, such that the symbols are not visible when displaying the image, and sending the image and the linked invisible symbols via a wireless connection as a first image to a mobile camera terminal device. The invention also provides a second component to re-visualize the hidden message by receiving the first image, taking a second image with a camera of the mobile camera terminal device, displaying the second image, comparing the first and second images to determine a matching measure, and visibly displaying the linked invisible symbols on the display, if the comparison fulfills at least one predetermined condition.

Abstract: A method for detecting a collector device in an indoor area associated with imaging devices covering the area includes a plurality of collector devices emitting markers to the imaging devices coupled to a server. The imaging devices capture the images of the collector devices including the markers. The images are processed in order to determine the current positions of the collector devices corresponding to the markers. The server and the collector device communicate with each other and match a current position corresponding to the collector device among the plurality of collector devices.

Abstract: A method and apparatus are provided for generating a multi-format template image by an image-processing device. At least one pre-defined region in a template image having a first format is identified. Component information of the at least one pre-defined region is extracted by decoding the template image. Pixels associated with the at least one predefined region are converted from the first format to a second format, with reference to the component information of the at least one pre-defined region, to form the multi-format template image.

Abstract: Provided is a method of manufacturing a template matching template, as well as a device for manufacturing a template, by both of which high matching accuracy can be stably ensured without being affected by factors such as process variations. As an embodiment of the above, a method of manufacturing a template matching template, as well as a relevant device, is proposed by both of which a template memorized in advance and an image acquired by a microscope are compared, thereby identifying a desired position, and by which a plurality of images at the identified location are acquired by template matching, and the aforementioned plurality of images are added and averaged, thereby manufacturing a new template.