Abstract: A system and methods for personalized event notification using real-time video analysis are described. In an embodiment, a live video feed is automatically monitored and characteristics of the video feed are analyzed against criteria which relate to an event which has been identified by a user. The criteria relate to characteristics of the image or the audio in the video feed. If the criteria are satisfied, the user is notified that the event has occurred and this notification may be achieved through messages on the video display screen (e.g. on the television screen) or other messaging techniques (e.g. SMS or email). In an example, the criteria may define a particular logo and the user is notified if the analysis detects the logo in the video feed.

Abstract: An apparatus and method are provided for recognizing an emotion of an individual based on Action Units. The method includes receiving an input AU string including one or more AUs that represents a facial expression of an individual from an AU detector; matching the input AU string with each of a plurality of AU strings, wherein each of the plurality of AU strings includes a set of highly discriminative AUs, each representing an emotion; identifying an AU string from the plurality of AU strings that best matches the input AU string; and outputting an emotion label corresponding to the best matching AU string that indicates the emotion of the individual.

Abstract: Technology is described for determining and using invariant features for computer vision. A local orientation may be determined for each depth pixel in a subset of the depth pixels in a depth map. The local orientation may an in-plane orientation, an out-out-plane orientation or both. A local coordinate system is determined for each of the depth pixels in the subset based on the local orientation of the corresponding depth pixel. A feature region is defined relative to the local coordinate system for each of the depth pixels in the subset. The feature region for each of the depth pixels in the subset is transformed from the local coordinate system to an image coordinate system of the depth map. The transformed feature regions are used to process the depth map.

Abstract: Various embodiments of a method and system for capturing and utilizing item attributes are described. Various embodiments may include a mobile image capture apparatus, which may include a computer system configured to execute an image capture application. The image capture application may instruct an agent to capture an image of an item label. A data extraction component may be configured to process the images captured by the mobile image capture apparatus. For a given captured image, the data extraction component may in various embodiments be configured to perform OCR to determine one or more strings of characters from the image. The data extraction component may be further configured to determine whether one or more patterns match a determined string of characters. In response to the detection of a particular pattern matching a particular string of characters, the data extraction component may extract and store an attribute of the corresponding item.

Abstract: In one embodiment, a method is disclosed for performing a video processing. The method can extract one or more common video segments. The method can select a common summarization segment based on a first summarization score. The method can extract one or more individual video segments in which the number of segments included therein is not more than a third threshold value that is less than a second threshold value. The method can select an individual summarization segment based on a second summarization score. In addition, the method can integrate the common summarization segment and the individual summarization segment to create the summary video.

Abstract: A system comprising an image display; a digital camera positioned to capture images of persons viewing the image display; and a memory system storing instructions configured to cause a data processing system to implement a method for presenting digital images having a high interest level to a particular person selected from a set of candidate digital images. The method includes using the digital camera to capture an image including a particular person positioned to view the image display. The candidate digital images are analyzed to designate one or more image elements, and familiarity levels of the designated image elements to the particular person are determined. For each candidate digital image, an associated interest level to the particular person is determined responsive to the determined familiarity levels. One or more of the candidate digital images are selected based on the determined interest levels and are presented to the particular person.

Abstract: An image processing apparatus includes an image input unit configured to input an image, a scanning unit configured to scan a detection window on the input image, a first discrimination unit configured to determine whether a pattern within the detection window is a subject based on a plurality of characteristic amounts obtained from within a first region among a plurality of regions within the detection window, and a second discrimination unit configured to determine, if it is determined that the pattern is not the subject by the first discrimination unit, whether the pattern is the subject based on a plurality of characteristic amounts obtained from a second region in which a probability that occlusion of the subject occurs is higher than that in the first region among the plurality of regions. Accordingly, a subject can be detected efficiently, and omissions of detection can be reduced.

Abstract: A system for generating a processed image dataset is disclosed. The system comprises a plurality of parameter datasets (15), wherein a parameter dataset (1) corresponds to a clinically categorized population and represents a transfer function. The system further comprises a selector (2) for selecting a parameter dataset (1) from the plurality of parameter datasets (15). The system further comprises an image processing subsystem (3) for applying the transfer function represented by the selected parameter dataset (1) to at least part of an image dataset (4) specific for a patient, to obtain a processed image dataset (5). The selector (2) comprises a user interface element (6) for enabling a user to select the parameter dataset (1) from the plurality of parameter datasets (15). A parameter dataset (1) is based on a statistical distribution of a population characteristic.

Abstract: The present disclosure relates to a system and a method for finger printing for comics. A system for searching comics according to the present disclosure includes: a fingerprint database storing fingerprints extracted from comics, a comics fingerprint extraction unit extracting fingerprints configured of at least one of box frames, cuts, and speech bubbles included in input comic images, a fingerprint based candidate group search unit searching candidate groups among comics stored in the fingerprint database using the extracted fingerprints, and a similarity measuring unit measuring similarity between the searched candidate groups and the comic images corresponding to the extracted fingerprints.

Abstract: Here, we introduce Z-webs, including Z-factors and Z-nodes, for the understanding of relationships between objects, subjects, abstract ideas, concepts, or the like, including face, car, images, people, emotions, mood, text, natural language, voice, music, video, locations, formulas, facts, historical data, landmarks, personalities, ownership, family, friends, love, happiness, social behavior, voting behavior, and the like, to be used for many applications in our life, including on the search engine, analytics, Big Data processing, natural language processing, economy forecasting, face recognition, dealing with reliability and certainty, medical diagnosis, pattern recognition, object recognition, biometrics, security analysis, risk analysis, fraud detection, satellite image analysis, machine generated data analysis, machine learning, training samples, extracting data or patterns (from the video, images, and the like), editing video or images, and the like.

Abstract: Methods and apparatuses are provided for facilitating gesture recognition. A method may include constructing a matrix based at least in part on an input gesture and a template gesture. The method may further include determining whether a relationship determined based at least in part on the constructed matrix satisfies a predefined threshold. In an instance in which the relationship does not satisfy the predefined threshold, the method may also include eliminating the template gesture from further consideration for recognition of the input gesture. In an instance in which the relationship satisfies the predefined threshold, the method may further include determining a rotation matrix based at least in part on the constructed matrix.

Abstract: A contactless gesture-based control method and apparatus are provided. The method includes: obtaining gestures/movements of a user; obtaining control instructions corresponding to the gestures/movements according to pre-stored mapping relationships; and executing the control instructions, where the gestures/movements include: an index finger draws a circle, and remaining four fingers clench into a fist; or, five fingers clench together and a palm moves in a direction where a device is; or, a thumb, the index finger, and a middle finger extend naturally, the remaining two fingers clench together, and the index finger moves freely; or, the thumb, the index finger, and the middle finger extend naturally, the remaining two fingers clench together, and the thumb moves up and down; or the thumb, the index finger, and the middle finger extend naturally, the remaining two fingers clench together, and the middle finger moves up and down.

Abstract: A method, system and computer program product for matching images is provided. The images to be matched are represented by feature points and feature vectors and orientations associated with the feature points. First, putative correspondences are determined by using feature vectors. A subset of putative correspondences is selected and the topological equivalence of the subset is determined. The topologically equivalent subset of putative correspondences is used to establish a motion estimation model. An orientation consistency test is performed on the putative correspondences and the corresponding motion estimation transformation that is determined, to avoid an infeasible transformation. A coverage test is performed on the matches that satisfy orientation consistency test. The candidate matches that do not cover a significant portion of one of the images are rejected. The final match images are provided in the order of decreasing matching, in case of multiple images satisfying all the test requirements.

Abstract: A digital image of the object is captured and the object is recognized from plurality of objects in a database. An information address corresponding to the object is then used to access information and initiate communication pertinent to the object.

Abstract: In order to prevent an image print and/or an image view from being visually monotonous, if it is determined that there is a similarity between similarity determination target images arranged in a specific area in an album, image processing is performed upon both or either of these similarity determination target images so as to eliminate the similarity between these similarity determination target images.

Abstract: Systems and methods for modeling functional magnetic resonance image datasets using a multivariate auto-regressive model which captures temporal dynamics in the data, and creates a reduced representation of the dataset representative of functional connectivity of voxels with respect to brain activity. Raw spatio-temporal data is processed using a multivariate auto-regressive model, wherein coefficients in the model with high weights are retained as indices that best describe the full spatio-temporal data. When there are a relatively small number of temporal samples of the data, sparse regression techniques are used to build the model. The model coefficients are used to perform data processing functions such as indexing, prediction, and classification.

Abstract: Methods, machine-readable media, and devices for face image prioritization based on face quality analysis are described herein. For example, one or more embodiments include detecting a facial image in an image that has been acquired by a camera that monitors a scene, passing the facial image through a number of quality analysis filters that include a number of quality analysis factors, wherein processing complexity associated with the number of quality analysis factors increases consecutively, and submitting the facial image to a facial recognition program upon a determination that the facial image has passed the number of quality analysis filters.

Abstract: A two-dimensional code display system has a display unit which can display a two-dimensional code representing predetermined information by plural cells arrange in a matrix, and a control unit which changes the display form of the two-dimensional code. For example, after 0.5 second has elapsed since the display unit starts displaying the image of a logo mark, the control unit controls the display unit to change the display from the image of the logo mark to a two-dimensional code. After 2.0 seconds has elapsed since the display unit starts displaying the two-dimensional code, the control unit controls the display unit to change the display from the two-dimensional code to the image of the logo mark. By repeating such control, the control unit can control the display unit to display alternately the image of the logo mark and the two-dimensional code.

Abstract: There are provided an image processing apparatus, a character recognition method and a computer-readable, non-transitory medium that can perform character recognition at high speed while retaining character recognition accuracy. The image processing apparatus includes a histogram generator for generating a histogram based on a pixel value of each pixel in an input image, a component judging unit for judging whether the input image contains a character component and whether the input image contains the character component and a non-character component, a binarization unit for producing a binary image based on edge strength of each pixel, when the input image contains both the character component and the non-character component, and for producing a binary image based on a luminance value of each pixel, when the input image contains the character component but does not contain the non-character component, and a character recognition unit for performing character recognition on the binary image.

Abstract: Methods and devices for providing companion services to video are described. In one example embodiment, the method includes: identifying text contained within a video; determining, by performing pattern matching, if the identified text in the video contains actionable text; and if the identified text in the video contains actionable text, providing access to one or more features based on the actionable text.

Abstract: A digital image of the object is captured and the object is recognized from plurality of objects in a database. An information address corresponding to the object is then used to access information and initiate communication pertinent to the object.

Abstract: A digital image of the object is captured and the object is recognized from plurality of objects in a database. An information address corresponding to the object is then used to access information and initiate communication pertinent to the object.

Abstract: A system and method of creating a smooth analytical representation of a geometry using a discrete set of points. A meshfree representation of the geometry is generated. The representation includes a set of points. A starting point and an edge length range are then used to generate a set of vertices from the set of points. The vertices are used to generate a coarse mesh, which, in turn, is used to generate a Reproducing Kernel Element Method (RKEM) representation of the geometry. The points of the meshfree representation that were not included in the set of vertices are then applied to the RKEM representation. The quality of the RKEM representation is assessed and compared to a predetermined standard. Additional sets of vertices from the meshfree representation are generated repeatedly and all remaining operations are repeated until the quality of the RKEM at least meets the predetermined standard. This provides a smooth, analytical RKEM representation of the geometry.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a location relative to an object and a type of a light source that illuminated the object when the image was captured, are described. A method performed by a process executing on a computer system includes identifying an object of interest in a digital image. The method further includes projecting at least a portion of the digital image corresponding to the object of interest onto a three dimensional (3D) model that includes a polygon-mesh corresponding to the object's shape. The method further includes determining one or more properties of a light source that illuminated the object in the digital image at an instant that the image was captured based at least in part on a characteristic of one or more polygons in the 3D model onto which the digital image portion was projected.

Abstract: Methods and apparatuses for identifying an image based on Embedded Media Marker (EMM) identification. A hierarchal comparison including a first coarse comparison and a second refining comparison is used. The first coarse comparison compares an image with an EMM to images in a database at a low resolution. The results are fed to the second refining comparison, which conducts a comparison at a higher resolution than the first coarse comparison. By utilizing this hierarchical comparison approach, it is possible to identify the image with fewer false positives.

Abstract: A method of processing data associated with fluorescent emissions from a microfluidic device. The method includes performing an auto-focus process associated with a first image of the microfluidic device and performing an auto-exposure process associated with the first image of the microfluidic device. The method also includes capturing a plurality of images of the microfluidic device. The plurality of images are associated with a plurality of thermal cycles. The method further includes performing image analysis of the plurality of captured images to determine a series of optical intensities and performing data analysis of the series of optical intensities to provide a series of change in threshold values.

Abstract: Cell phones and other portable devices are equipped with a variety of technologies by which existing functionality is improved, and new functionality is provided. Some aspects relate to imaging architectures, in which a cell phone's image sensor is one in a chain of stages that successively act on instructions/data, to capture and later process imagery. Other aspects relate to distribution of processing tasks between the device and remote resources (“the cloud”). Elemental image processing, such as filtering and edge detection—and even some simpler template matching operations—may be performed on the cell phone. Other operations are referred out to remote service providers. The remote service providers can be identified using techniques such as a reverse auction, though which they compete for processing tasks. Other aspects of the disclosed technologies relate to visual search capabilities, and determining appropriate actions responsive to different image inputs.

Abstract: A method and apparatus for obtaining an image and providing one or more document files to a user is disclosed. The method may include receiving an image of a target object using an imaging device, analyzing the image to identify one or more features, and accessing a model database to identify an object model having features that match the identified features from the image. When the system determines that more than one model may be a match, the method looks for distinguishing features of the target object and selects a model that includes the distinguishing features. The method then includes, retrieving a document file that corresponds to the identified model from a file database, and providing the document file to a user.

Abstract: An image-reading device includes a reading unit, a displaying unit, a recognition target region setting unit, a recognition target region adding unit, and a character recognizing unit. The recognition target region setting unit sets a recognition target region within the displayed image data to recognize characters. The recognition target region adding unit adds a new recognition target region based on the recognition target region set by the recognition target region setting unit. The character recognizing unit performs character recognition in the recognition target regions.

Abstract: A technique for determining a set of calibration parameters for use in a model of a photo-lithographic process is described. In this calibration technique, images of a test pattern that was produced using the photo-lithographic process are used to determine corresponding sets of calibration parameters. These images are associated with at least three different focal planes in an optical system, such as a photo-lithographic system that implements the photo-lithographic process. Moreover, an interpolation function is determined using the sets of calibration parameters. This interpolation function can be used to determine calibration parameters at an arbitrary focal plane in the photo-lithographic system for use in simulations of the photolithographic process, where the set of calibration parameters are used in a set of transmission cross coefficients in the model of the photo-lithographic process.

Abstract: A method for detecting a front vehicle comprises: a moving light detecting step of detecting a front moving light area of an own vehicle in at least one image of a front scene of the own vehicle obtained at a time; a vehicle candidate generating step of extracting a light area pair from the detected front moving light area so that a front vehicle candidate is generated; and a vehicle candidate verifying step of verifying that the front vehicle candidate is the front vehicle in cases where the front vehicle candidate meets predetermined characteristics of a vehicle light.

Abstract: Methods, systems, and articles of manufacture for the automatic determining of calls to action in a webpage are disclosed. These include, rendering a web page in a browser, capturing the rendered web page as an image, filtering the image using one or more image filters, and identifying the calls to action in the filtered image using at least one call to action selection criteria.

Abstract: An image detecting method and a system thereof are provided. The image detecting method includes the following steps. An original image is captured. A moving-object image of the original image is created. An edge-straight-line image of the original image is created, wherein the edge-straight-line image comprises a plurality of edge-straight-lines. Whether the original image has a mechanical moving-object image is detected according to the length, the parallelism and the gap of the part of the edge-straight-lines corresponding to the moving-object image.

Abstract: Methods and systems for managing digital photos are disclosed. In one implementation, a method for organizing digital photos includes receiving a set of digital photos, analyzing the set of digital photos to create tags that identify content information in the set of digital photos, tagging the set of digital photos in accordance with their corresponding content information, categorizing the set of digital photos in accordance with their corresponding tags, and displaying the digital photos and their corresponding tags with a display device.

Abstract: An image processing method for boundary resolution enhancement is disclosed. Firstly, an image is transferred into an image layer. Noise of the image layer is removed by a bilateral filter and crisp edges are retained at the same time. Moreover, the image layer is interpolated by an interpolation filter for resolution enhancement. The image processing method of the present invention can lower the image blur degree substantially, enhance the image resolution and be widely implemented in all sorts of image/video processing hardware devices.

Abstract: A method may include receiving a plurality of images of a face of a user, wherein each image of the face of the user is associated with one of a plurality of different expressions. The method may also include receiving a first video, wherein the first video comprises images of an actor including images of a face of the actor, wherein each image of the face of the actor is associated with one of the plurality of different expressions. Further, the method may include replacing the images of the face of the actor with corresponding images of the face of the user in a same expression to create a second video and transmitting the second video to the user.

Abstract: An image processing apparatus which converts input image data into a designated color, the apparatus comprises a designation unit which accepts a designated color from a user; a holding unit which holds a representation color of a block, a color layout of pixels included in the block, and an other color contained in the block except for the representation color, the block being generated by compression and including a predetermined number of pixels that form the image data; and a color conversion unit which mono-colorizes the block into the designated color by converting at least one of the representation color and the other color into the designated color designated with the designation unit in accordance with the color layout.

Abstract: Embodiments that provide cartoon personalization are disclosed. In accordance with one embodiment, cartoon personalization includes selecting a face image having a pose orientation that substantially matches an original pose orientation of a character in a cartoon image. The method also includes replacing a face of the character in the cartoon image with the face image. The method further includes blending the face image with a remainder of the character in the cartoon image.

Abstract: The invention relates to localizing the position of a person speaking by using pictures of a pattern (21) on an object (20) worn by the person. The object (20) carries a complex pattern (21) that is optimized for determining the orientation of the object (20), the distance from the object to a microphone device (14) and/or to a camera (11). Moreover, the pattern (21) may be arranged for identifying the person carrying the object (20). The determination of the position of the person carrying the object (20) may be used to enhance speech recognition (SR) and/or to provide hands-free voice control of devices (DC), e.g. in hospitals or in industrial settings.

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: A method of identifying a traced media playback decoder embedded in a device, wherein data representative of a trace message is included in the content field of a media content file and a trigger string (16) is included in the user data field of the file. The file is input to the decoder, and a traced decoder is arranged and configured to render the trace message in a desired format in response to detection of the trigger string. If the decoder is not the traced decoder, the trigger string will be disregarded and the component will try and process the media content file like a normal media content file, which results in an error.

Abstract: An information processing device includes: a document receiving unit that receives a document containing at least one page, wherein positions of document components of a page of the at least one page are fixed within the page; a page dividing unit that divides the document received by the document receiving unit into at least one page; a page heading determining unit that determines a heading of a page of the at least one page divided by the page dividing unit based on components included in the page; and a processing unit that assigns the heading determined by the page heading determining unit to the page divided by the page dividing unit as first level outline information of the page.

Abstract: Systems and methods for generating a derived biometric template are provided. A biometric sample of a user is determined. A base biometric template includes a plurality of features extracted from the biometric sample. A degree of rotation is determined, and a derived biometric template is generated using the degree of rotation.

Abstract: A system and method for mail processing. A method includes receiving an image of a mail piece, and identifying multiple regions of interest of the image. The method includes determining a classification key for the image based on a plurality of relationships between the multiple regions of interest and identifying a most-changing region of interest of the multiple regions of interest. The method includes processing the mail piece using the identified most-changing region of interest as the recipient address block.

Abstract: Provided are an age estimation apparatus, an age estimation method, and an age estimation program capable of reducing the labor of labeling the image data used for age estimation. An age estimation apparatus for estimating an age of a person on image data includes a dimension compression unit for applying dimension compression to the image data to output low dimensional data; a clustering unit for performing clustering of the low dimensional data outputted; a labeling unit for labeling representative data of each cluster among the low dimensional data clustered; and an identification unit for estimating an age of a person on the basis of a learning result using a feature amount contained in labeled low dimensional data and unlabeled low dimensional data.

Abstract: A computing device configured for providing an interface is described. The computing device includes a processor and instructions stored in memory. The computing device projects a projected image from a projector. The computing device also captures an image including the projected image using a camera. The camera operates in a visible spectrum. The computing device calibrates itself, detects a hand and tracks the hand based on a tracking pattern in a search space. The computing device also performs an operation.

Abstract: A method for generating individual glyphs, and a system and method for inspecting individual glyphs are disclosed. The system includes a true resolution imaging device configured to capture an image of a printed glyph. A registry service has a database for storing other glyphs and/or parameters of other glyphs. An analysis system, in selective communication with the registry service, includes computer software configured to receive the captured image; an image analysis program configured to perform forensic analysis on the received image to determine parameter(s) associated with the glyph; and an image comparison program configured to i) compare the glyph parameter(s) with parameters stored in the registry for other glyphs or with parameters determined, by image analysis program, for the other glyphs stored in the registry, and ii) generate a probability that the glyph and object are authentic based upon the comparison.

Abstract: A method is provided for recognizing characters of an image captured using a camera in a mobile terminal. The camera captures an image of a signboard. A text area is extracted from the captured image. Characters are recognized from the extracted text area. At least one text is generated by combining the recognized characters. The at least one text is compared with at least one store name within a predetermined range. A comparison result is output.

Abstract: The described implementations relate to computer vision. In one case image data is received. Resource constraints associated with processing the image data are evaluated. Further, a visual recognition and detection processing strategy is selected for the image data based at least in part on the evaluated resource constraints.

Abstract: A computerized method of creating an irregular-shaped table of cells comprises detecting one or more cells of a table to be removed, removing each detected cell from the table and creating a table object representing the resultant irregular-shaped table.