Abstract: Methods for detecting digital or physical tampering of an imaged physical credential include the actions of: receiving a digital image representing a physical credential having one or more high value regions, the digital image including an array of pixels; processing the digital image with a tamper detector to generate an output corresponding to an intrinsic characteristic of the digital image, the tamper detector configured to perform a pixel-level analysis of the high value regions of the digital image with respect to a predetermined tampering signature; and determining, based on the output from the tamper detector, whether the digital image has been digitally tampered with.

Abstract: Techniques are provided for increasing the accuracy of automated classifications produced by a machine learning engine. Specifically, the classification produced by a machine learning engine for one photo-realistic image is adjusted based on the classifications produced by the machine learning engine for other photo-realistic images that correspond to the same portion of a 3D model that has been generated based on the photo-realistic images. Techniques are also provided for using the classifications of the photo-realistic images that were used to create a 3D model to automatically classify portions of the 3D model. The classifications assigned to the various portions of the 3D model in this manner may also be used as a factor for automatically segmenting the 3D model.

Abstract: A method for evaluating a facial performance using facial capture of two users includes obtaining a reference set of facial performance data representing a first user's facial capture; obtaining a facial capture of a second user; extracting a second set of facial performance data based on the second user's facial capture; calculating at least one matching metric based on a comparison of the reference set of facial performance data to the second set of facial performance data; and displaying an indication of the at least one matching metric on a display.

Abstract: The present embodiments relate to detecting fraudulent insurance claims. According to certain aspects, a central monitoring server may receive and examine data detected by at least one unmanned vehicle and generate an estimated insurance claim for a loss event. The central monitoring server may then receive an actual insurance claim relating to the loss event, and may compare the estimated insurance claim to the actual insurance claim to identify potential buildup included in the actual insurance claim. If buildup is detected, the central monitoring server may then process the actual insurance claim accordingly based upon the potential buildup. As a result, claim monies may be paid to insureds that more accurately reflect actual losses resulting from the loss event, and insurance cost savings may be ultimately passed onto typical insurance customers.

Abstract: A body information analysis apparatus (1) with augmented reality and an eyebrow shape preview method thereof are provided. The method includes following steps of: capturing a face image (51); recognizing an eye image from the face image (51); calculating a projection position (73) according to a position of the eye image and an eyebrow offset; displaying the face image (51) and a sample eyebrow image (81,82) at the projection position (73) in a preview mode; and, displaying the face image (51) and an outline eyebrow shape pattern (71,72) at the projection position (73) in an auxiliary mode. Therefore, the dissatisfaction for the shaped eyebrow shape from the user can be prevented, and the technical threshold of eyebrow-shaping can be reduced significantly, and a probability of shaping eyebrows successfully can be increased as well.

Abstract: Example methods and apparatus to detect audio engineering problems using identification of isolated watermarks are disclosed herein. Disclosed example methods include identifying, by executing an instruction with a processor, isolated watermarks in a first set of detected watermarks obtained from first media monitored at a first site. Disclosed example methods further include determining, by executing an instruction with the processor, a problem has been detected with the first media associated with the first set of detected watermarks in response to a first number of isolated watermarks identified in the first set of detected watermarks satisfying a first threshold.

Abstract: An example processor-implemented method for retrieving a video in accordance with the present disclosure is receiving an entry of a name tag identifying a first user in a video application, assigning a second user as a contact to the first user based on the received entry of the name tag in the video application, receiving, by a viewing module of the video application, an image of a still frame extracted from a portion of a video, wherein the name tag is associated with the still frame, and the video is associated with the first user, generating, by the viewing module of the video application, a trigger based on the received image, identifying the video based on the generated trigger, and providing permission for the second user to receive the video based on a verification that the second user is a contact of the first user.

Abstract: An illustrative method of estimating a temperature for at least one of a plurality of sites based on temperature information from at least one of a plurality of temperature measurement stations includes several steps. The sites are clustered into a plurality of clusters. Respective centroids for the clusters are determined. The centroids are associated with respective measurement stations. One of a preselected plurality of estimating techniques is respectively assigned to the measurement stations. The assigned estimating technique provides a temperature estimate at the measurement station that is more accurate than others of the preselected plurality of estimating techniques. A temperature at the at least one of the plurality of sites is estimated using the estimating technique assigned to the measurement station associated with the centroid of the cluster that includes the site of interest.

Abstract: A computing system compares various reference fingerprints each representing a reference media stream broadcast on a different respective known channel, and the computing system determines that a plurality of the reference fingerprints match each other, thus defining a multi-match group of the matching reference fingerprints. In response, the computing system identifies a fingerprint feature that could define a distinction between the reference fingerprints, and the computing system resolves the multi-match based on the identified feature, thereby determining the channel carrying the media stream being rendered by the media presentation device. And the server then takes channel-specific action based on the determined channel.

Abstract: A watermark adjustment method and a watermark adjustment device are provided. The method includes determining whether a user clicks on a watermark preview interface in a predetermined manner; when it is determined that the user clicks on the watermark preview interface in the predetermined manner, generating a text box control according to a watermark pattern that is currently displayed to activate a watermark preview editing status; displaying the watermark pattern on the text box control; determining a text box display parameter according to a user setting for the text box control; and when the watermark preview editing status is ended, adjusting the watermark pattern according to the text box display parameter and displaying the adjusted watermark pattern in the watermark preview interface.

Abstract: Examples disclosed herein relate to determining image capture position information based on a quasi-periodic pattern. For example, a processor may determine whether a target area is within a captured image based on the detection of a quasi-periodic pattern in a first detection area and in a second detection area of the captured image.

Abstract: A system generates an estimated floor area measurement of a building based on the calculated estimated total roof area of the roof of the building. This is based on a correlation between the size of the building roof and the size of the building. Typically, the floor area of a single full floor of the building is roughly the size of the roof of the building if the roof were flat with no slope. This in effect is turning the roof into a floor to generate estimated floor area. With additional adjustments to area measurements to account for multiple floors, roof overhang, wall width, internal building features such as walls and staircases, and/or obstructed views of the building in the aerial image(s), etc., an even more accurate floor area estimation may be generated.

Abstract: A steganographic digital watermark signal is decoded from host imagery without requiring a domain transformation for signal synchronization, thereby speeding and simplifying the decoding operation. In time-limited applications, such as in supermarket point-of-sale scanners that attempt watermark decode operations on dozens of video frames every second, the speed improvement allows a greater percentage of each image frame to be analyzed for watermark data. In battery-powered mobile devices, avoidance of repeated domain transformations extends battery life. A great variety of other features and arrangements, including machine learning aspects, are also detailed.

Abstract: Systems, devices, media, and methods are presented for segmenting an image of a video stream with a client device, identifying an area of interest, generating a modified area of interest within one or more image, identifying a first set of pixels and a second set of pixels, and modifying a color value for the first set of pixels.

Abstract: A method includes receiving an image of a product, obtaining content relevant to using the product, and displaying the content in an augmented reality view of the product by overlaying the content on the image of the product on a display device.

Abstract: A device for determining authenticity including processing circuitry which generates a reference image data of a counterfeit prevention medium at an observation angle for comparison with captured image data obtained based on a pattern of light observed from the counterfeit prevention medium at the observation angle between an imaging direction of the captured image data and a reference line of a surface of the counterfeit prevention medium, calculates similarity between the captured image data and the reference image data, and determines authenticity of the counterfeit prevention medium based on whether the similarity exceeds a threshold.

Abstract: A computer device and method for processing maintenance related data for performing maintenance analytics on insured property. Informatic data is received from one or more sensor devices relating to a property covered by an insurance policy. Analysis is performed on the received informatic data to determine one or more conditions associated with the property. Predefined business rules are applied using the determined one or more conditions associated with the property to determine a maintenance profile for the property indicating one or more of maintenance history and repair or maintenance requirements for the property.

Abstract: Multi-dimensional data can be mapped to a projection shape and converted for image analysis. In some examples, the multi-dimensional data may include data captured by a LIDAR system for use in conjunction with a perception system for an autonomous vehicle. Converting operations can include converting three-dimensional LIDAR data to multi-channel two-dimensional data. Data points of the multi-dimensional data can be mapped to a projection shape, such as a sphere. Characteristics of the projection shape may include a shape, a field of view, a resolution, and a projection type. After data is mapped to the projection shape, the projection shape can be converted to a multi-channel, two-dimensional image. Image segmentation and classification may be performed on the two-dimensional data. Further, segmentation information may be used to segment the three-dimensional LIDAR data, while a rendering plane may be positioned relative to the segmented data to perform classification on a per-object basis.

Abstract: In one embodiment, a device identifies, from image data captured by one or more cameras of a physical location, a focal point of interest and people located within the physical location. The device forms a set of nodes whereby a given node represents one or more of the identified people located within the physical location. The device represents a person queue as an ordered list of nodes from the set of nodes and adds a particular one of the set of nodes to the list based on the particular node being within a predefined distance to the focal point of interest. The device adds one or more nodes to the list based on the added node being within an angle and distance range trailing a forward direction associated with at least one node in the list. The device provides an indication of the person queue to an interface.

Abstract: Described is a system and method for routing output information to one or more of a plurality of output devices. In one implementation, output information that includes information to be presented and a location information identifying where the output information is to be presented may be generated by an output host. The output information is received by an output router that determines, based on the location information, an output device and routes the output information to the output device for presentation.

Abstract: Embodiments of the application provide a method and a device for gesture recognition. The method includes: acquiring an image of a user; detecting whether the image includes a human face (2); and performing gesture recognition based on information of the detected human face (2), which comprises: dividing a first region (3) including the human face (2) in the image; dividing a plurality of detection regions (A1-A4) outside the first region (3); determining respective priority levels of the plurality of detection regions (A1-A4); and in an order from a high priority level to a low priority level, performing the gesture recognition in the plurality of detection regions (A1-A4) in sequence.

Abstract: A server includes a hardware platform, a hypervisor platform, and a virtual machine operating as an independent guest computing device. The virtual machine executes a remote graphics generation protocol to generate a bitmap to be transmitted for display on a client machine associated with the virtual machine, determine a protection label to be inserted within the bitmap, and determine an optimization technique to be performed on the bitmap. The remote graphics generation protocol also determines if the optimization technique, if performed, alters the protection label. If yes, then the protection label is inserted within the bitmap without performing the optimization technique. If no, then the optimization technique is performed and the protection label is inserted within the bitmap.

Abstract: A payment interchange for use in a global shopping cart and a method for its use are provided. Also, provide is management of data relationships between a global online shopping cart and various manager components that encompass data management access. The global shopping cart includes a storage medium having thereon computer instructions for implementing one or more functions of the global shopping cart, and a processor for executing the computer instructions to provide functions including a payment function for paying for an item to be purchased. The global shopping cart has a flexible application programming interface (API) framework sufficient to support the payment interchange including the payment function for paying for an item to be purchased by one or more users of the global shopping cart and by one or more payment modes or sources.

Abstract: Methods, devices and computer program products are described that improve acquisition of metadata that is associates with a multimedia content, such an audio or video content. In one exemplary method, the multimedia content is received at a first device that is equipped with a watermark detector and watermark extraction operations are conducted to detect a plurality of watermark messages. Each watermark message includes a server code and an interval code. In this method, a server Internet Protocol (IP) address is obtained that corresponds to a server that stores at least a portion of the metadata associated with the multimedia content. The IP address corresponds to at least one of the server codes detected from the plurality of watermark messages. According to the above method, the metadata is requested from the server having the server IP address, and a response including the metadata associated with the multimedia content is received.

Abstract: A geo-aware transportation verification system and is disclosed. A processor receives a billing request for payment, including an actual geolocation and an actual time and date. The processor compares a service request to a billing request to determine whether a driver is within a field of acceptability. There are at least three types of fields of acceptability for assisting billing verification, where one may be active at a time. The processor automatically adjusts the billing request to match the service request if the driver is within a field of acceptability for geolocation and time. The processor conditionally rejects a billing request if the driver is not within the field of acceptability and provides a user engagement panel on which the user is allowed to submit billing relevant data for further verification. The field of acceptability is updated dynamically based on collected data.

Abstract: An endoscope system includes a borescope configured to pick up images of a rotatable inspection target with a linear sensor at predetermined time intervals to acquire a plurality of first inspection target images, a borescope configured to pick up images of the inspection target with a linear sensor at the predetermined time intervals in synchronization with the acquisition timing of the first inspection target images to acquire a plurality of second inspection target images, and a PC. The PC reconstructs image data on each of the plurality of first inspection target images based on time-series image information formed of the second inspection target images arranged over time and a correction table containing a position of a pixel including a predetermined feature quantity in each of the second inspection target images and an amount of an angle of rotation of the inspection target.

Abstract: This disclosure relates to advanced signal processing technology including signal encoding and image processing. One implementation describes an encoding system including a masking module. The masking module scales or eliminates signal encoding adjustments based on an image's luminance or chrominance values. Of course, other implementations, combinations and claims are also provided.

Abstract: A method for calculating solar irradiance over a predetermined time period for a geographical area including a plurality of geographical points is described. The method is implemented by a computing device coupled to a weather database. The method includes receiving a first identifier corresponding to a beginning of the predetermined time period and a second identifier corresponding to an ending of the predetermined time period, receiving weather data from the weather database, generating a model of diffuse light and atmosphere attenuation, based at least on the first identifier, the second identifier, and the weather data, determining solar parameters, and determining an amount of solar irradiance for each geographical point for each of a plurality of time intervals within the predetermined time period, based at least on the model and the solar parameters.

Abstract: A method for identifying whether a standard picture contains a watermark is provided. After obtaining a set of sample standard pictures, one or more sample pictures in the set of sample standard pictures are adjusted to a preset size. The sample pictures in the set of sample standard pictures do not contain watermark information. Next, an average of pixel attribute values of the sample pictures at pixel positions of the preset size is calculated. The average of the pixel attribute values at the pixel positions of the preset size is normalized to obtain the watermark-presence probabilities of the pixel positions of the preset size. Then, a target picture is adjusted to the preset size and a sum of products of pixel attribute values of the target picture at the pixel positions of the preset size and the corresponding watermark-presence probability are calculated. Finally, it is determined whether the target picture contains a watermark according to the sum of products.

Abstract: A user had to manually select a cross-sectional image indicating features of a finding and a cross-sectional image displayed in a report, from a three-dimensional medical image. Provided is an image processing apparatus that includes: a unit configured to acquire a target finding of a medical image; a unit configured to calculate an image feature quantity of a type associated in advance with the target finding, for each of a plurality of cross-sectional images of the medical image; and a unit configured to identify a cross-sectional image from the plurality of cross-sectional images based on the calculated image feature quantity. Operation of selecting a cross-sectional image by a doctor can be omitted, and the burden can be reduced.

Abstract: An image display device with which it is possible to visually recognize an image while securing the see-through property regardless of eye movements and changes in interpupillary distance, with which it is possible to display a large-size image with high quality, and which is small, has excellent wearability, and has an excellent external appearance.

Abstract: Systems and methods are provided and include a web server configured to provide data to a terminal for generating a display within a web browser of the terminal. The display has a first column of selectable color chips, each representing an associated color family, and a second column of miniature selectable color chip sub-family arrays, each having selectable color chips. A user selection from the first column causes a central display area to display an initial miniature selectable color chip sub-family array. The display also has an enlarged color chip and a room display displaying a room. A user selection of a color from the central display area causes (i) the enlarged color chip to change to the selected color, (ii) an area of the room to be colored with the selected color, and (iii) an initial row of color palettes, each including the selected color, to be displayed.

Abstract: A process for selectively activating a guardian camera in response to detecting a distracted user includes first identifying an available camera external to a mobile computing device (MCD) having a field of view that incorporates a current location of a user of the MCD. The MCD then detects that a user's attention is substantially focused on a user interface of the MCD, and responsively transmits an instruction to the available camera to transition to a recording state and/or to begin monitoring an area surrounding the user for unexpected movements or objects. In response to the MCD detecting an indication that the available camera has recorded an unexpected movement or object in the area surrounding the user, the MCD takes a responsive action.

Abstract: A computer implemented method includes receiving one or more user set preferences for detecting a hub alarm condition and one or more actions to perform in response to detecting a hub alarm condition, receiving, from the output of the security panel, data indicating that a traditional alarm condition occurred, based on receiving data indicating a traditional alarm condition occurred at the monitored property, receiving sensor data from at least one wireless sensor in a vicinity of a hardwired sensor associated with the traditional alarm condition, determining, based on the sensor data received from at least one wireless sensor in a vicinity of the hardwired sensor associated the traditional alarm condition, that the sensor data satisfies a condition, and in response to determining that the sensor data satisfies a condition, performing an action.

Abstract: In acquiring and publishing supplemental information for a network site, information published by a user on a network site including an image of a product and corresponding metadata is analyzed. A provider of the product is identified based on the analysis of the published information and a survey is presented to the user based on the identified provider. Responses to the survey are received from the user and the responses from the user are published on the network site in association with the published information.

Abstract: A system includes a biometric sensor that detects biometric data of a person in a first region and a presuming unit calculating, from the biometric data, a stress index and presuming that the person is a person to be tracked based on the calculated stress index. The system also includes a first camera acquiring first image data of the person in the first region and a second camera acquiring second image data of the person in a second region. The system further includes a monitoring unit that tracks the target person in the second region by checking the second image data with the first image data corresponding to the target person.

Abstract: A first image is received. An initial label is assigned to at least some pixels in the first image, including by assigning a first label to a first pixel. A determination is made that the first pixel's label should be replaced with a different label. The first pixel's label is updated with the different label.

Abstract: Because human eyes may become less sensitive to dark areas around very bright areas in a video (known as glare masking), we may use coarser quantization in such dark areas. Considering the extra distortion that human eyes can tolerate in a block with glare masking, a quantization ratio for the block can be calculated. The quantization parameter for the block can then be scaled up using the quantization ratio to form an adjusted quantization parameter. In one embodiment, the adjusted quantization parameter can be derived at the decoder side, and thus, transmission of quantization ratio information is not needed. In particular, we can estimate the luminance of a current block based on a predicted block and de-quantized DC coefficient, and use the luminance of causal neighboring blocks and the estimated luminance of the current block to estimate the adjusted quantization parameter.

Abstract: Systems and methods are disclosed for predicting one or more characteristics of a animal by applying computational methods to image(s) of the animal to generate one or more metrics indicative of the characteristics. Embodiments determine predictors of characteristics by creating a sample library of animals of a particular type, determining facial descriptor measurements for each animal, determining relationships between facial descriptor measurements and additional library data, and selecting predictors from these relationships. Other embodiments predict characteristics of animals not in the library and, optionally, categorize animals for particular discipline, training, management, care, etc. based on the characteristics. Other embodiments predict characteristics and determine strategies for group(s) of animals using predicted characteristics of individual animals.

Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for watermarking an identification mark on an image. A system may provide an image to a trained convolutional neural network to generate a saliency map. The saliency map includes saliency information which identifies a salient region of the image and a non-salient region of the image. The system may be configured to determine a level of aggressiveness based on a weight model. The weight model includes information regarding a popularity of the image, a value of the image, a geographic location of the image, and a user account associated with the image. The system is configured to overlap the watermark with one of the identified salient region and the non-salient region based on the level of aggressiveness to generate a watermarked image.

Abstract: Disclosed is a watermark embedding method. The method includes receiving an original image, generating a watermark image based on the selected watermark pattern, generating an alpha blended stego image by alpha blending the original image and the watermark image, and providing the alpha blended stego image, in which the watermark image is generated by considering at least one of allowable pixel value range and alpha value ? range of the watermark pattern applied to a first pixel of the original image, wherein the at least one of allowable pixel value range and alpha value ? range are determined by the difference of pixel value of the first pixel between the original image and the stego image by embedding the watermark pattern to the first pixel.

Abstract: A method for manufacturing a security document including a security pattern generation method includes the steps of selecting a bounding region, an image object, and a raster image or a function; cutting the image object into image object partitions; and repeating the image object as a pattern, preferably a lattice pattern, in the bounding region wherein each of the image object partitions of an image object is transformed depending on the position area of the image object in the lattice pattern and the rank of the image object partition.

Abstract: The disclosed embodiments relate to methods, devices and computer program products that enable watermark-based metadata recovery for content with multiple alternative components. The content can, for example, be included in broadcast television services which include multiple alternative audio and video components, only a subset of which may be presented by a given receiver at a given time. The disclosed techniques, among other features, enable broadcasters to deliver different services to different customers by using different watermarks into the feeds they provide to multichannel video program distributors (MVPDs). For instance, coincident audio and video components are embedded with different watermark payloads.

Abstract: In a technology for detecting the water level of a river by image processing, after an angle of view setting process, an area setting unit sets an arbitrarily defined certain range from the center of the set angle of view as a processing area. Then, a flow processing unit calculates, from the processing area, motion information and a flow direction, computes a flow density, determines a region having a high density and similar flow directions to be a flow of water currents, and deletes flows in the other directions. Thereafter, a graph-cut processing unit creates an object seed and a background seed for graph-cutting, and detects a water surface by automatic graph-cutting. After an edge extraction processing unit has performed edge extraction, a water level calculation processing unit determines an edge that satisfies a predetermined condition to be a water level line, and outputs a water level measurement result.

Abstract: The present invention relates to an apparatus for multi material decomposition of an object. It is described to provide (310) at least one image of an object. The at least one image is derived from at least one spectral X-ray image of the object, and the at least one image comprises a Photoelectric total attenuation coefficient image and a Compton scattering total attenuation coefficient image. A plurality of Photoelectric attenuation coefficients are provided (320) for a plurality of materials, each Photoelectric attenuation coefficient being associated with a corresponding material. A plurality of Compton scattering attenuation coefficients are provided (330) for the plurality of materials, each Compton scattering attenuation coefficient being associated with a corresponding material. A total volume constraint is set (340) at an image location in the at least one image as a function of the sum of individual volumes of the plurality of materials at the image location.

Abstract: An image processing method, a terminal and a storage medium. The method includes: acquiring N target image, wherein each of the target images contains a face image, and N is an integer greater than one (101); determining a covariance matrix of the N target image (102); determining an upper information entropy limit according to the covariance matrix (103); determining whether the upper information entropy limit is greater than a first pre-set threshold value (104); when the upper information entropy limit is greater than the first pre-set threshold value, determining that the N target images contain face images of different people (105); and when the upper information entropy limit is less than or equal to the first pre-set threshold value, determining that the N target images contain face images of the same person (106).

Abstract: A computer-controlled system determines attributes of a frexel, which is an area of human skin, and applies a reflectance modifying agent (RMA) at the pixel level to automatically change the appearance of human features based on one or more digital images. The change may be based on a digital image of the same frexel, for as seen in a prior digital photograph captured previously by the computer-controlled system. The system scans the frexel and uses feature recognition software to compare the person's current features in the frexel with that person's features in the digital image. It then calculates enhancements to the make the current features appear more like the features in the digital image, and it applies the RMA to the frexel to accomplish the enhancements. Or the change may be based on a digital image of another person, through the application of RMAs.

Abstract: An image processing apparatus includes, an input unit configured to input images, a first detection unit configured to detect a first area based on features in the images input by the input unit, a second detection unit configured to detect a second area based on variations between the images input by the input unit, a generation unit configured to generate a background image by using a result of the first area detection by the first detection unit and a result of the second area detection by the second detection unit, and a processing unit configured to perform image processing for reducing a visibility of a specific region identified through a comparison between a processing target image acquired after a generation of the background image by the generation unit and the background image.

Abstract: There is described a challenge-response method for a computing device. The method comprises steps of: (a) receiving challenge data at a secured module of the computing device, the challenge data comprising image content encrypted using an encryption key, and the image content including a nonce; (b) the secured module recovering the image content through decryption using one or more keys associated with the encryption key; (c) the secured module of the computing device outputting the recovered image content; (d) capturing the image content as output by the secured module; (e) processing the captured image content so as to obtain the nonce; and (f) providing the nonce as a response. There is also described a computing device arranged to carry out the challenge-response method, a computer program for causing a processor to carry out the challenge-response method, and a computer readable medium storing such a computer program.

Abstract: Provided is a method of analyzing a tool trace, the method being performed by a tool trace analyzing apparatus including a camera unit and including obtaining a first image that is a three-dimensional (3D) image of the tool trace; displaying the first image on a screen; storing, in a database, second images that are 3D images of one or more tools and that correspond to a plurality of pieces of feature information of the one or more tools; when a specific tool is selected based on a user input, searching for a second image from among the second images in the database, the second image corresponding to the specific tool, and displaying the second image on the screen; matching the second image with the first image and thus generating a match image; and displaying the match image on the screen.