Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to monitor streaming media content. Example apparatus disclosed herein include means for determining whether a streaming media flag is asserted in a payload of a watermark detected in media presented by a media presentation device, the streaming media flag to indicate whether the media was distributed to the media presentation device as streaming media. Disclosed example apparatus also include means for discarding the detected watermark from collected data in response to a determination that the streaming media flag is asserted. Disclosed example apparatus further include means for reporting the collected data to a remote server via a network.

Abstract: Provided are a tour guiding method and apparatus, an electronic device and a storage medium. The method includes receiving a video stream collected by a user in a current location area of a target scenic spot and sent by an application device; determining, based on the collected video stream and prestored three-dimensional point cloud data of the target scenic spot, an augmented-reality-based content resource package corresponding to the current location area, where the augmented-reality-based content resource package includes at least six-degrees-of-freedom attitude data of the application device; and sending the augmented-reality-based content resource package corresponding to the current location area to the application device to enable the application device to provide the augmented-reality-based content resource package corresponding to the front location area for the user.

Abstract: A data processing system for generating a fingerprint of an image implements obtaining a first digital image; determining a first fingerprint for the first digital image comprising a first coarse-grain fingerprint element and a first fine-grain fingerprint element by determining the first coarse-grain component based on the first digital image; determining the first fine-grain component based on the first digital image; and generating the first fingerprint by combining the first coarse-grain component with the first-fine grain component; obtaining a second fingerprint for a second digital image, the second fingerprint comprising a second coarse-grain component and a second fine-grain component; comparing the first fingerprint with the second fingerprint to determine a similarity score; and performing one or more actions responsive to the similarity score equaling or exceeding a similarity threshold.

Abstract: In one aspect, an example method includes (i) receiving, from a content-distribution system, video comprising a watermark; (ii) extracting the watermark from the video; (iii) based on the extracted watermark, determining a content-creation attribute of the video that indicates a process by which the video was created, wherein the determining comprises using the watermark to select the content-creation attribute from among a set of two or more content-creation attributes comprising organically-generated video and synthetically-generated video; and (iv) in response to determining the content-creation attribute of the video, causing a content-presentation device to perform an action.

Abstract: A method, computer program, and computer system is provided for point cloud coding. The method includes receiving, from a bitstream, data corresponding to a point cloud; obtaining from the data a first prediction residual of a first component from among a plurality of components of an attribute associated with the point cloud; reconstructing the first prediction residual; determining a predicted second prediction residual based on the reconstructed first prediction residual and at least one model parameter; obtaining a second prediction residual of a second component from among the plurality of components based on the predicted second prediction residual; reconstructing the second prediction residual; and decoding the data corresponding to the point cloud based on the reconstructed first prediction residual and the reconstructed second prediction residual.

Abstract: A display apparatus and an image displaying method are provided. The display apparatus includes a display module and a driving circuit. The driving circuit is coupled to the display module and receives an input image. The driving circuit determines a watermark area and a non-watermark area of the display module according to watermark information, and at least one of the watermark area and the non-watermark area is alternately driven by a first gamma curve and a second gamma curve. A brightness difference percentage between the first gamma curve and the second gamma curve at a same grayscale value between 10% and 90% of a grayscale percentage is between 0.2 and 0.6.

Abstract: The pose of a wide-angle image is determined by dewarping regions of the wide-angle image, determining estimated poses of the dewarped regions of the wide-angle image and deriving a pose of the wide-angle image from the estimated poses of the of the dewarped regions. The estimated poses of the dewarped regions may be determined by comparing features in the dewarped regions with features in prior dewarped regions from one or more prior wide-angle images, as well as by comparing features in the dewarped regions with features in a point cloud.

Abstract: Disclosed herein are methods and systems for visually identifying anomaly events, comprising an edge node configured for applying a limited resources classifier to a plurality of images captured by imaging sensor(s) deployed to monitor a certain scene relating to a certain area to classify object(s) detected in the images, applying a trained context based Machine Learning (ML) model to classification data generated by the limited resources classifier to compute an anomaly score for potential anomaly event(s) relating to the detected object(s) based on one or more contextual attributes associated with the certain scene and transmitting one or more of the images to a remote server in case the anomaly score exceeds a threshold. The remote server is configured to further apply high performance visual analysis tool(s) to visually analyze the received image(s) in order to identify the one or more potential anomaly events.

Abstract: An information processing apparatus sets a color mode in place of a monochrome mode on condition that the monochrome mode and multiplexing of additional information on a print target image are set as print settings based on an input image data; generates, based on the input image data, color image data corresponding to printing in a color mode which represents a color of the monochromated print target image by a value of a color signal; performs, for the color image data generated by the generation unit, processing for multiplexing the additional information on the print target image; and causes a printing apparatus to print, in the color mode, a multiplexed image on which the additional information is multiplexed.

Abstract: Examples of the present disclosure describe systems and methods for detecting and remediating compression artifacts in multimedia items. In example aspects, a machine learning model is trained on a dataset related to compression artifacts and non-compression artifacts. Input data may then be collected by a data collection module and provided to a pattern recognition module. The pattern recognition module may extract visual and audio features of the multimedia item and provide the extracted features to the trained machine learning model. The trained machine learning model may compare the extracted features to the model, and a confidence value may be generated. The confidence value may be compared to a confidence value threshold. If the confidence value is equal to or exceeds the confidence threshold, then the input data may be classified as containing at least one compression artifact. Remedial action may subsequently be applied (e.g., boosting the system with technical resources).

Abstract: A method for detection of modification of an item of content, the method comprising: obtaining, for the item of content, a respective first value of each attribute in a set of one or more attributes of the item of content, the set of one or more attributes selected such that, for each of one or more predetermined types of modification, said type of modification affects the value of at least one attribute in the set of one or more attributes; performing a watermark decoding operation on the item of content; and in response to the watermark decoding operation producing payload data from the item of content: determining that the one or more predetermined types of modification have not been applied to the item of content if, for each attribute in the set of one or more attributes, the respective first value for that attribute matches a respective second value for that attribute determined using the payload; or determining that a modification has been applied to the item of content if, for at least one attribute i

Abstract: A system for modeling risk of rail buckling in railroad infrastructure is presented. The system can receive a myriad of data related to railroad tracks and/or railroad operations, and weight the data using specially-designed weighting factors that can be unique to each data type. The weighted data can be transformed via specialized algorithms to generate location scores reflective of a risk isolated to a particular area. The system can further utilize additional specialized algorithms to elucidate how such isolated risk can be extrapolated from one location to another. The system can implement a multilayer approach, formulating one or more layers of risk models and aggregating such models into an overarching risk model that can more-accurately forecast risk of rail buckling in a railroad track.

Abstract: A system for training neural networks that predict the parameters of a human mesh model is disclosed herein. The system includes at least one camera and a data processor configured to execute computer executable instructions for: receiving a first frame and a second frame of a video from the at least one camera; extracting first and second features from the first and second frames of the video; inputting the sequence of frames of the video into a human mesh estimator module, the human mesh estimator module estimating mesh parameters from the sequence of frames of the video so as to determine a predicted mesh; and generating a training signal for input into the human mesh estimator module by using at least one of: (i) a depth loss module and (ii) a rigid transform loss module.

Abstract: The present invention generally relates to system, method and graphical user interface for executing one or more tasks in dynamic data driven enterprise application. The invention includes creation of rules on a rule creation interface by one or more syntax from a rule creation syntax data library. The system of the invention is configured to identify optimum rule to process one or more tasks. The invention provides machine learning models driven rule engine for executing the tasks wherein an AI engine invokes dynamic conditions of the rules to execute the task.

Abstract: An information processing device includes a displacement calculation means and a motion estimation means. The displacement calculation means acquires time-series images obtained by capturing images of a measurement target region of a structure supported by a supporting member. The displacement calculation means calculates a three-dimensional displacement of the measurement target region from the acquired time-series images. The motion estimation means estimates a motion of the supporting member in the structure based on the three-dimensional displacement of the measurement target region.

Abstract: A digital watermark analysis apparatus, comprising an image capturing unit for capturing a printed product where additional information is embedded by superimposing a pattern on an image to acquire a captured image, a calculation unit for calculating a spatial frequency characteristic of each small area in the captured image, a specifying unit for specifying an embedded signal strength and an embedding position of the additional information, a decision unit for deciding, based on the embedding position information and the embedded signal strength information, a position in the captured image of a marker detection area for detecting a marker as a reference position for acquiring the additional information, and an acquisition unit for detecting a marker in the marker detection area and acquiring the additional information in the captured image with reference to the detected marker.

Abstract: A system for generating a depth output for an image is described. The system receives input images that depict the same scene, each input image including one or more potential objects. The system generates, for each input image, a respective background image and processes the background images to generate a camera motion output that characterizes the motion of the camera between the input images. For each potential object, the system generates a respective object motion output for the potential object based on the input images and the camera motion output. The system processes a particular input image of the input images using a depth prediction neural network (NN) to generate a depth output for the particular input image, and updates the current values of parameters of the depth prediction NN based on the particular depth output, the camera motion output, and the object motion outputs for the potential objects.

Abstract: Methods and systems for generating an image quality metric are described. A reference and a test image are first converted to the ITP color space. After calculating difference images ?I, ?T, and ?P, using the color channels of the two images, the difference images are convolved with low pass filters, one for the I channel and one for the chroma channels (I or P). The image quality metric is computed as a function of the sum of squares of filtered ?I, ?T, and ?P values. The chroma low-pass filter is designed to maximize matching the image quality metric with subjective results.

Abstract: Methods and systems for analyzing an integrity of a roof covering are presented. An airflow may be directed over one or more shingles or other discontinuous roof covering materials by an airflow unit. A respective lift for each of the discontinuous roof covering materials may then be observed by an imaging unit, and an overall roof integrity rating may then be generated by the one or more processors based on the respective lift of the discontinuous roof covering materials.

Abstract: A system performs a method for processing an image of a machine-readable code. The method includes receiving an image of a machine-readable code comprising coded information, where the machine-readable code is at least partially obscured by a substance that has a predominant color; generating an adjusted image by adjusting a color space of the image based on the predominant color; binarizing at least a machine-readable code region of the image, wherein the machine-readable code region of the image depicts the machine-readable code; and decoding the binarized machine-readable code region to determine the coded information. Other apparatus and methods are also described.

Abstract: Systems and methods for detecting, geolocating, assessing, and/or inventorying infrastructure assets. In some embodiments, a plurality of images captured by a moving camera may be used to generate a point cloud. A plurality of points corresponding to a pavement surface may be identified from the point cloud. The plurality of points may be used to generate at least one synthetic image of the pavement surface, the at least one synthetic image having at least one selected camera pose. The at least one synthetic image may be used to assess at least one condition of the pavement surface.

Abstract: The invention provides artificial intelligence-enabled image recognition methods and systems for continuously training a computer system to accurately identify a surgical item in a tray using at least 100 randomly created 2-dimensional images of a 3-dimensional synthetic item having unique identifiers assigned to the images or item. The invention also provides an artificial intelligence-enabled image recognition method and system for use to determine whether surgical instruments are present or missing on a surgical tray, and, if applicable, identifying those missing. In one aspect, a server receives an image and analyzes the image with a deep convolutional neural network to classify the type of tray and then compares a list of items that should be on the tray to that which the computer recognizes on the tray to generate an output displayed to a user identifying the items present and/or missing.

Abstract: An image processor includes an edge detection portion for scanning an image and detecting, as edges, an arrangement of pixels in which brightness value difference or color parameter difference between the pixels is equal to or greater than a threshold; a grouping portion for grouping the detected edge based on edge length, a distance between endpoints of the edges, and an angle between the edges; a determination portion for determining the grouped edges as a dashed line edge group when a pattern, in which the brightness value difference or the color parameter difference between the pixels is detected, matches a predetermined pattern; a correction portion for performing a linear approximation process on the dashed line edge group to correct a coordinate value of an endpoint of the dashed line edge; and a parking frame setting portion for setting a parking frame using the corrected dashed line edge.

Abstract: Disclosed embodiments provide for control of an external display by a client device. In one aspect, a system includes at least one electronic hardware processor and an electronic hardware memory, operably connected to the at least one electronic hardware processor, and storing instructions that configure the at least one electronic hardware processor to transmit a barcode to a first client device, establish an authenticated session with a second client device, receive an indication of the barcode from the second client device via the authenticated session, receive input from the second client device indicating a selection of content, access the selected content via the authenticated session, and transmit the selected content to the first client device based on the barcode received from the second client device.

Abstract: Deep recurrent neural networks applied to speech recognition. The deep recurrent neural networks (RNNs) are preferably implemented by stacked long short-term memory bidirectional RNNs. The RNNs are trained using end-to-end training with suitable regularisation.

Abstract: Information may be visually encoded within visual content of an image using a distortion projection. The distortion projection may cause stretching of a visual element defined within a pixel array of the image. Information may be visually encoded within the pixel array using visual characteristic(s) of the pixel array. Presentation of the visual content based on a non-distortion projection may reduce a number of pixels that defines the visual element within the pixel array and may reduce visual impact of the information visually encoded within the pixel array.

Abstract: Disclosed is a system and associated methods for generating a point-accurate three-dimensional (“3D”) model of a scene with point-accurate color information from a non-cosited capture of the scene. The system may define a first model based on positional measurements obtained from a first device. The system may capture images of the scene with a different set of devices, and may generate a second model from a photogrammetry modeling of the images. The system may align the models in order to determine positioning of the set of devices relative to the first model, and may select a particular device that captures descriptive characteristics from a position in the scene that is represented by the positional elements of a particular data point. The system may define non-positional elements of the particular data point based on the descriptive characteristics captured by the particular device.

Abstract: The invention relates to a method for authenticating a secure document comprising data printed by analogue or digital printing, said method comprising the following operations: —definition, from among a set of graphical and/or alphanumeric data of the secure document, of at least one distinct data area including at least one distinctive pattern; —during an operation of fabrication of the secure document, reading the distinct data area onto a storage device so as to form a distinct reference data area; —in the course of an operation of verification of the authenticity of the secure document, extracting the distinct data area from a digitized version of the secure document; and—comparing the extracted distinct data area with the distinct reference data area so as to determine a level of matching between said distinct data areas and to deduce therefrom a positive authentication or negative authentication.

Abstract: A device for automating the process of installing eyelash extensions onto the natural eyelashes of a subject. In some embodiments, the placing of extensions is carried out by a robotic mechanism utilizing computer vision. In some embodiments, the same device may be used for extending eyebrows rather than eyelashes, as eyebrows have rather similar properties to eyelashes.

Abstract: The disclosure provides an image processing method, an image processing apparatus, an electronic device and a storage medium, which belongs to the field of computer technologies, and specifically relates to computing vision, image processing, face recognition, and deep learning technologies in artificial intelligence. The method includes: performing skin color recognition on a face image to be processed to determine a target skin color of a face contained in the face image; obtaining a reference transformation image corresponding to the face image by processing the face image using any style transfer model in response that a style transfer model set does not comprise a style transfer model corresponding to the target skin color; and obtaining a target transformation image matching the target skin color by adjusting a hue value, a saturation value, and a lightness value of each pixel in the target region based on the target skin color.

Abstract: A dimming tester station for testing an optical object, the optical object disposed along an axis represented by a central axis of the optical object, the dimming tester station including a motion stage for supporting the optical object, wherein the optical object is disposed between at least one camera with an entrance pupil of the at least one camera disposed in a first plane and a light emitting panel configured to emit light through a front surface disposed in a second plane, the central axis is substantially perpendicular to the first plane and the second plane, the entrance pupil of the at least one camera is disposed in an orientation facing at least a portion of the front surface, the motion stage is configured to be adjustable such that the location of the optical object from each of the first plane and the second plane is alterable.

Abstract: Systems and methods are presented for generating statistics associated with a performance of a participant in an event, wherein pose data associated with the participant, performing in the event, are processed in real time. Pose data associated with the participant may comprise positional data of a skeletal representation of the participant. Actions performed by the participant may be determined based on a comparison of segments of the participant's pose data to motion patterns associated with actions of interests.

Abstract: Provided is a personal authentication device capable of simply securing security with little psychological and physical burden of a user to be authenticated.

Abstract: In general, according to one embodiment, one aspect of the apparatus comprising a sensor configured to acquire biological signals of a user, the biological signals including first signals and second signals, reliability of the first signals being relatively higher than reliability of the second signals, and a controller configured to activate an alarm, if a ratio of a time period of first signals to a time period of the biological signals is less than a first threshold.

Abstract: The present disclosure provides a multi-image-based image enhancement method and device, an electronic device and a non-transitory computer readable storage medium. The method includes: aligning a low-resolution target image and a reference image in an image domain; performing, an alignment in a feature domain; and synthesizing features corresponding to the low-resolution target image and features corresponding to the reference image to generate a final output.

Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for detecting objects located in an area of interest. In accordance with one embodiment, a method is provided comprising: receiving, via an interface provided through a general instance on a cloud environment, imaging data comprising raw images collected on the area of interest; upon receiving the images: activating a central processing unit (CPU) focused instance on the cloud environment and processing, via the image, the raw images to generate an image map of the area of interest; and after generating the image map: activating a graphical processing unit (GPU) focused instance on the cloud environment and performing object detection, via the image, on a region within the image map by applying one or more object detection algorithms to the region to identify locations of the objects in the region.

Abstract: System for finding at least one mobile trolley in a locale, the system including at least one communication beacon which has a range covering the locale and which is connected to a computer control unit, and at least one electronic module mounted on the trolley and including a transmission device arranged to transmit position data to the communication beacon, and an inertial motion detection hub that includes a device for detecting linear motion along axes of a detection reference system and a device for detecting angular motion about the axes of the detection reference system and that is arranged to provide position data on the basis of linear motion measurement data and angular motion measurement data, the module being mounted on an element of the trolley such that any movement of the trolley within the locale causes angular movement of the element, the system being arranged to detect when the trolley is stopped when the angular motion measurement data correspond to zero angular motion at one measurement in

Abstract: The disclosure provides a structure diagnosis system and a structure diagnosis method. The structure diagnosis system includes: a lidar scanner scanning a structure to generate a point cloud data; an input interface receiving the point cloud data; and a processor receiving the point cloud data and generating a point cloud data set. The processor executes a surface degradation and geometry abnormal coupling diagnosis module to: marking a first point cloud range of a surface degradation area according to color space value of the point cloud data set; marking a second point cloud range of a geometry abnormal area according to coordinate value of the point cloud data set; when an abnormal area includes the first point cloud range and the second point cloud range at least partially overlapping each other, determining surface degradation or geometry abnormal occurring at the abnormal area and mark the abnormal area with a predetermined mode.

Abstract: There is provided a method for embedding a digital watermark into and extracting a digital watermark from a numerical data set. In accordance with embodiments of the present disclosure, there is provided a method for embedding a digital watermark into a numerical data set. The method includes selecting portions of the numerical data set identified as data noise, the selected portions to be used for embedding the digital watermark into the numerical data set, the digital watermark being unique for each recipient of the numerical data. The method further includes replacing the least significant bit (LSB) of at least some of the selected portions of the numerical data set with at least portion of the digital watermark.

Abstract: Systems and methods for dynamically and automatically generating digital watermarks are provided. Watermark payloads utilized in generating the digital watermarks are altered based upon changing conditions, such as environmental characteristics associated with playback or distribution of media content. Changing conditions may also encompass a change in the distribution/presentation chain of devices associated with the playback or distribution of the media content.

Abstract: Methods and systems are described for performing video retrieval together with video grounding. A word-based query for a video is and encoded into a query representation using a trained query encoder. One or more similar video representations are identified, from a plurality of video representations that are similar to the query representation. Each similar video representation represents a respective relevant video. A grounding is generated for each relevant video by forward propagating each respective similar video representation together with the query representation through a trained grounding module. The relevant videos or identifiers of the relevant videos are outputted together with the grounding generated for each relevant video.

Abstract: Various embodiments of a cyber-physical system for providing cloud prediction for photovoltaic array control are disclosed herein.

Abstract: Data processing systems are disclosed for determining semantic and person keypoints for an environment and an image and matching the keypoints for the image to the keypoints for the environment. A homography is generated based on the keypoint matching and decomposed into a matrix. Camera parameters are then determined from the matrix. A plurality of random camera poses can be generated and used to project keypoints for an environment using image keypoints. The projected keypoints can be compared to the actual keypoints for the environment to determine an error and weighting for each of the random camera poses.

Abstract: An image forming apparatus includes an image bearer, an image former, a transferor, and circuitry. The image bearer bears an image and an identification pattern. The image former forms the image and the identification pattern on the image bearer. The transferor transfers the image and the identification pattern on the image bearer directly or indirectly to a recording medium. The circuitry determines whether the identification pattern is an image portion pattern arranged at a position superimposed on the image or a position adjacent to the image, or a non-image portion pattern arranged at neither a position superimposed on the image nor a position adjacent to the image. The circuitry further causes the image former to form the non-image portion pattern larger than the image portion pattern.

Abstract: A mobile device can implement a neural network-based style transfer scheme to modify an image in a first style to a second style. The style transfer scheme can be configured to detect an object in the image, apply an effect to the image, and blend the image using color space adjustments and blending schemes to generate a realistic result image. The style transfer scheme can further be configured to efficiently execute on the constrained device by removing operational layers based on resources available on the mobile device.

Abstract: Methods, apparatus, systems, and articles of manufacture to create a reference signature asset from matched signature fragments are disclosed. Example apparatus disclosed herein form a group of matched signature fragments corresponding to a same piece of media. Disclosed example apparatus also select a subset of matched signature fragments from the group to form a path of matched signature fragments that collectively represent a continuous segment of the piece of media, the continuous segment identified by a segment start time and a segment end time, the segment start time corresponding to a fragment start time associated with an initial matched signature fragment in the path, and the segment end time corresponding to a fragment end time associated with a last matched signature fragment in the path. Disclosed example apparatus further use the path to combine the subset of matched signature fragments and create a new reference signature asset.

Abstract: There is provided an information processing apparatus for testing a workflow, the information processing apparatus including: an acquisition unit configured to acquire information about a first user who executes a first work step of the workflow; and a display unit configured to display a first simulation screen based on the information acquired by the acquisition unit, the first simulation screen simulating a first screen on which the first user executes the first work step of the workflow, wherein the display unit displays a second simulation screen, the second simulation screen simulating a second screen on which a second user executes a second work step of the workflow, the second work step of the workflow executed by the second user following the execution of the first work step by the first user on the first screen.

Abstract: An observation platform comprises a computer system associated with an organization, a first communication device associated with a first user, a second communication device communicatively coupled with the computer system, and a plurality of additional communication devices associated with different users of a plurality of additional users. The computer system communicates with the first and additional communication devices via the second communication device. The computer system receives, via the second communication device, a signal from the first communication device. A characteristic of the signal corresponds to audible source which is a voice of the first user. The computer system derives context information from a speech to text analysis of the characteristic. The context information comprises a query about the organization.

Abstract: An individual identification system includes: a storing unit for storing an image capture parameter in association with data characterizing a surface of a reference object; an acquiring unit that, when data characterizing a surface of an object to be matched is input, calculates an approximation degree between the input data and each data stored in the storing unit, and acquires the image capture parameter applied to the object to be matched from the storing unit based on the calculated approximation degree; a condition setting unit that sets an image capture condition determined by the acquired image capture parameter; an image capturing unit that acquires an image of the surface of the object to be matched under the set image capture condition; an extracting unit that extracts a feature value from the acquired image; and a matching unit that matches the extracted feature value against a registered feature value.

Abstract: In an example, information related to a user of a mobile device and to an item associated with the user is received from a network. Based on the information a screening threshold is determined. The screening threshold is communicated to an electronic physical screening device and a direction instruction, indicating a location of a physical screening area corresponding to the electronic physical screening device, is communicated to the mobile device. The direction instruction causes the mobile device to display a direction information, directing the user to the physical screening area, for a physical screening in accordance with the threshold.