Abstract: A system, method, and apparatus for media content marking and tracking are disclosed.

Abstract: A person's smartphone serves as a security token—used variously to establish the user's authorization, and to test the bona fides of the counter-party system. In one illustrative ATM arrangement, a bank's computer system and the user's smartphone share secret information across a network. The smartphone employs this shared secret to generate a corresponding image, which is displayed on its screen. The displayed image is sensed by a camera in the ATM, which sends corresponding data back to the bank computer system. The bank computer system analyzes the received data and responds by sending information to the ATM authorizing a transaction. By such arrangement, authentication of the transaction involves one-way optical communication of visual information between the ATM and the smartphone, and two-way network communication of information between the ATM and the bank computer system. A great number of other features and arrangements are also detailed.

Abstract: The systems, methods, and computer program products disclosed herein pertain to image analysis techniques that may exploit computer vision, supervised and unsupervised machine learning, and deep neural network models in order to detect change and determine spatio-temporal attention regions of relevant change in multi-spectral and multi-resolution satellite images. In some embodiments, the automatic detection of changes in regions over large scales of satellite imagery data may be further used to generate alerts in the context of a monitoring and alerting system. In some embodiments, the input to the system may be provided through an analytics web interface or an application programming interface (API), and the output may also be served through the web interface or API.

Abstract: A system for monitoring the movement of people through a passageway comprising two or more time of flight sensors deployed across the passageway in a direction substantially transverse to the direction of movement of a person or object through the passageway. The system further comprises means to determine data regarding people or objects passing through the passageway based on the time of flight of a signal measured by the two or more sensors.

Abstract: Concepts and technologies disclosed herein are directed to image prediction. According to one aspect disclosed herein, an image prediction system can receive a training data set that includes a plurality of training images. The image prediction system can define N-dimensional feature vectors corresponding to the plurality of training images in the training data set, parameterize the N-dimensional feature vectors to obtain a plurality of parameterized curves corresponding the plurality of training images in the training data set, obtain a square root velocity representation for each parameterized curve of the plurality of parameterized curves, rescale the plurality of parameterized curves to remove scaling variability among the plurality of parameterized curves, define a pre-shape space for the plurality of parameterized curves, and obtain shape space points pertaining to each parameterized curve of the plurality of parameterized curves on a shape space that inherits a structure from the pre-shape space.

Abstract: Systems and methods relating to delivery of an alternate representation of a requested segment of a media content item to a terminal device are disclosed. In one embodiment, a system comprises a terminal device and a network node. The terminal device is configured to send a request for a first representation of requested media content, and receive a response to the request comprising a second representation of the requested media content, where the second representation of the requested media content is different than the first representation of the requested media content. The network node is configured to receive the request from the terminal device for the first representation of the requested media content, select the second representation of the requested media content, and send the response to the terminal device comprising the second representation of the requested media content.

Abstract: A device for image classification comprising a convolutional neural network configured to generate a plurality of probability values, each probability value being linked to a respective one of a plurality of predetermined classes and indicating the probability that the image or a pixel of the image is associated with the respective class, and the convolutional neural network comprises a plurality of convolutional blocks and each of the convolutional blocks comprises: a first convolutional layer configured to perform a pointwise convolution using a first kernel, a second convolutional layer configured to perform a depthwise convolution using a second kernel, wherein the second kernel has one of a single row and a single column, a third convolutional layer configured to perform a depthwise convolution using a third kernel, wherein the third kernel has a single column if the second kernel has a single row, and the third kernel has a single row if the second kernel has a single column, and a fourth convolutional

Abstract: A guidance seeking device for a satellite and a method of enhancing the performance of the same. The device includes a seeking device, at least one image-capturing device and a processing device. The seeking device and the at least one image-capturing device are for capturing an image to produce an image data. The processing device is configured to analyze the image data to determine a target and/or an obstacle therein, to produce an image-capturing path according to the target and/or the obstacle in the image data, and to produce a control signal to control the at least one image-capturing device to capture an image corresponding to one part of the image-capturing path. The method includes a seeking step, an analyzing step, a determination step and a controlling step.

Abstract: A video packaging and origination service can include one or more encoder components that receive content for encoding and transmitting to requesting entities. Responsive to a request for content, an encoder can be configured with a set of adjustable parameters that depend on the specific format of encoding. To implement watermarking, the encoder dynamically modifies or biases one or more of the parameter values such that the modified parameter values can represent watermarking data.

Abstract: A mobile terminal includes a memory, and a processor coupled to the memory, wherein the processor executes a process comprising acquiring a frame with taking a photograph, acquiring document image data of a document from the frame, detecting shine on the document image data, determining whether the shine is equal to or smaller than a shine baseline, and acquiring a frame with retaking a photograph when the shine is neither equal to nor smaller than the shine baseline.

Abstract: A structural analysis computing device may generate a proposed insurance claim and/or generate a proposed insurance quote for an object pictured in a three-dimensional (3D) image. The structural analysis computing device may be coupled to a drone configured to capture exterior images of the object. The structural analysis computing device may include a memory, a user interface, an object sensor configured to capture the 3D image, and a processor in communication with the memory and the object sensor. The processor may access the 3D image including the object, and analyze the 3D images to identify features of the object—such as by inputting the 3D image into a trained machine learning or pattern recognition program. The processor may generate a proposed claim form for a damaged object and/or a proposed quote for an uninsured object, and display the form to a user for their review and/or approval.

Abstract: Provided herein are methods and systems for implementing three-dimensional perception in an autonomous robotic system comprising an end-to-end neural network architecture that directly consumes large-scale raw sparse point cloud data and performs such tasks as object localization, boundary estimation, object classification, and segmentation of individual shapes or fused complete point cloud shapes.

Abstract: A decoding device and a decoding method for decoding a target information from a bitstream of video data are provided, wherein the bitstream comprises a prediction parameter encoded in the bitstream. The decoding device is configured to calculate a randomized host signal based on the prediction parameter and a pseudo-random signal, and to apply a check function to the randomized host signal and thereby obtain the target information. An encoding device and an encoding method, and computer-readable storage media for encoding and for decoding are also disclosed.

Abstract: A method of processing supplementary content in a digital receiver is discussed. The method includes connecting to an external input source being different from a broadcaster; receiving uncompressed A/V content from the external input source being different from the broadcaster; extracting audio watermark from the uncompressed A/V content; wherein the audio watermark includes domain type information, time information and event flag; constructing a first URL based on the domain type information, the time information and the event flag included in the audio watermark; transmitting an HTTP request to a remote server based on the first URL; receiving a second URL for the supplementary content from the remote server; and presenting the supplementary content based on the second URL.

Abstract: In order to acquire recognition environment information impacting the recognition accuracy of a recognition engine, an information processing device 100 comprises a detection unit 101 and an environment acquisition unit 102. The detection unit 101 detects a marker, which has been disposed within a recognition target zone for the purpose of acquiring information, from an image captured by means of an imaging device which captures images of objects located within the recognition target zone. The environment acquisition unit 102 acquires the recognition environment information based on image information of the detected marker. The recognition environment information is information representing the way in which a recognition target object is reproduced in an image captured by the imaging device when said imaging device captures an image of the recognition target object located within the recognition target zone.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for watermark outage detection. Example methods include evaluating an onset time and duration of a detected watermark outage based on a model of expected watermark outages to determine whether the detected watermark outage corresponds to at least one of the expected watermark outages represented in the model. Example methods further include generating an alert in response to determining the detected watermark outage does not correspond to at least one of the expected watermark outages included in the model, and suppressing the alert in response to determining the detected watermark outage corresponds to the at least one of the expected watermark outages represented in the model.

Abstract: Methods and systems for analyzing an integrity of a roof covering are presented. One or more roof sections of a structure may be identified with one or more processors. An airflow may then be directed over one or more shingles or other discontinuous roof covering materials of the roof section by an airflow unit. A respective lift for each of the shingles may then be observed by an imaging unit. An adhesion score may then be determined for each of the one or more shingles using the one or more processors. This adhesion score may be based on the respective lift. An overall roof integrity rating may then be generated by the one or more processors, based on the one or more adhesion scores. The overall roof integrity rating may then be provided by the one or more processors to a user of a computing device.

Abstract: Systems and methods for removing objects from images are disclosed. An image processing application identifies a boundary of each object of a set of objects in an image. In some cases, the identification uses deep learning. The image processing application identifies a completed boundary for each object of the set of objects by providing the object to a trained model. The image processing application determines a set of masks. Each mask corresponds to an object of the set of objects and represents a region of the image defined by an intersection of the boundary of the object and the boundary of a target object to be removed from the image. The image processing application updates each mask by separately performing content filling on the corresponding region. The image processing application creates an output image by merging each of the updated masks with portions of the image.

Abstract: Systems and methods are provided for detecting anomalies, for instance, user-caused scanning anomalies, which occur during scanning transactions. Scanning-related events may be detected by a scanning device and notifications of such events may be transmitted from the scanning device to a point-of-sale (POS) host device coupled therewith. In aspects, the notifications transmitted to the POS host device include a unique code (e.g., a barcode or label) that is indicative of the corresponding event. Responsive to receipt of the event notifications and the nature thereof, the POS host device may initiate one or more anomaly detection actions.

Abstract: The present disclosure relates to systems and methods that utilize machine learning techniques to improve object classification in thermal imaging systems. In an example embodiment, a method is provided. The method includes receiving, at a computing device, one or more infrared images of an environment. The method additionally includes, applying, using the computing device, a trained machine learning system on the one or more infrared images to determine an identified object type in the environment by at least: determining one or more prior thermal maps associated with the environment; using the one or more prior thermal maps and the one or more infrared images, determining a current thermal map associated with the environment; and determining the identified object type based on the current thermal map. The method also includes providing the identified object type using the computing device.

Abstract: There is provided an information processing device including a display control unit configured to display pieces of content at a first position of a screen, a condition setting unit configured to set a clustering condition for the pieces of content in accordance with a user operation, and a clustering unit configured to classify the pieces of content into a cluster in accordance with the clustering condition. The display control unit moves a display of the pieces of content from the first position toward a second position corresponding to the cluster.

Abstract: Methods, devices, systems and computer program products facilitate accessing metadata associated with a primary audio visual content. Upon reception of a primary content, one or more watermark messages are extracted from the primary content obtain a server code and an interval code. A query to a metadata server is initiated based on the information obtained from the extracted watermark messages. In response to the query, service recovery information is received that includes information identifying one or more timed events, where each timed event identifies an operation to be performed at a corresponding instance in time as the primary content is being presented by the receiver device. One or more operations identified the timed events are initiated at the corresponding instance(s) in time.

Abstract: A lidar sensing system for a vehicle includes a plurality of lidar sensor modules disposed at a vehicle, with each lidar sensor module having a laser unit and a sensor unit, and with each lidar sensor module having a respective field of sensing exterior of the vehicle. Each field of sensing is different from the other fields of sensing and partially overlaps at least one other field of sensing. An output of each lidar sensor module is communicated to a control, and the control, responsive to outputs from the lidar sensor modules, determines a combined field of sensing.

Abstract: A method that incorporates teachings of the present disclosure may include embedding a watermark in media content for presentation at a rendering device using an editor to associate the watermark with one or more metadata pointers that point to additional media content according to an embedded link of the watermark to generate a group of one or more metadata pointers where the watermark includes an embedded link to additional media content used to modify the media content based on a content exchange between the rendering device and a computer. The method may further include storing the group of one or more metadata pointers, where a selection of the watermark invokes access to the altered media content containing the additional media content associated with the watermark, thereby producing the altered media content at the one or more user devices. Other embodiments are disclosed.

Abstract: A method for marking video media-content, comprising a plurality of frames, with a user ID. The method includes arranging a media-delivery platform to have a plurality of target devices connected thereto and further arranging the media-delivery platform to deliver the video media-content to a specified target device of the target devices, at which the user ID is being used. An image is overlaid over at least some frames of the plurality of frames as the video media-content is displayed at the specified target device. The image encodes the User ID and comprises a plurality of zones, the zones being arranged to encode the User ID. A visual property of the image is arranged to vary within at least some of the zones, and the image is arranged such that when the image is overlaid on the video media content, the image is at least substantially imperceptible to a user.

Abstract: Forensic method for identifying forged documents. For each of a stream of incoming jpeg images, using a processor configured for determining whether jpeg image/s is a replacement forgery by determining whether a first portion of individual image which resides at a known location (known likely to be replaced by forger) within the individual jpeg image has been replaced, including: indicator, face-djpg, for the first portion at known location; computing indicator, aka nonface-djpg, for a second portion of individual image which resides at a comparison location within the jpeg image known as unlikely to be replaced by a forger; and determining whether face-djpg and nonface-djpg fulfill predetermined logical criterion and deciding whether the individual jpeg image is a replacement forgery accordingly.

Abstract: A method for processing an optical image acquired by a space vehicle or an aerial vehicle having a ground reflectance model and an atmospheric model, the atmospheric model having an aerosol model and a cloud model; determining optimal values of atmospheric model parameters to optimise the atmospheric model with respect to the image; determining correction parameter values for each layer of the atmospheric model, converting the image into a ground image with environmental effects according to the correction parameter values, converting the ground image with environmental effects into a ground image with no environmental effects according to the correction parameter values.

Abstract: An printing apparatus includes a printer configured to print an image on a printing medium, a network interface configured to receive, from an external device, a print job to be held, a memory configured to store the print job received by the network interface, and a user interface configured to accept, from a user, an execution instruction for the print job stored by the memory. In addition, a controller controls the printer to print based on the print job in accordance with the execution instruction accepted by the user interface, and a power controller performs control so that power is supplied to a predetermined device of the printer based on a reception of the print job by the network interface.

Abstract: Methods, systems, and products authenticate users for access to devices, applications, and services. Skills of a user are learned over time, such that an electronic model of random subject matter may be generated. The user is prompted to interpret the random subject matter, such as with an electronic drawing. The user's interpretation is then compared to the electronic model of the random subject matter. If the user's interpretation matches the electronic model, the user may be authenticated.

Abstract: An information processing apparatus, method, and non-transitory computer-readable storage medium for processing an image in which a plurality of symbols is encoded. The information processing apparatus includes processing circuitry configured to determine luminance values of a plurality of pixels included in a line of an image in which a plurality of 2-bit symbols is encoded. Each of the plurality of 2-bit symbols is encoded in a subset of the plurality of pixels. The processing circuitry is further configured to determine a data value of one of the plurality of 2-bit symbols based on the luminance values of the subset of the plurality of pixels in which the one of the plurality of 2-symbols is encoded.

Abstract: A computer can comprise a housing, a microprocessor disposed within the housing, a display, and a communication interface communicatively coupled to the microprocessor. The computer can be configured, responsive to locating decodable indicia within content viewable on the display, to decode the decodable indicia to produce at least one decoded message. The computer can be further configured to display the content with decoded message data being embedded into the content. The decoded message data can be provided by at least one decoded message, data derived from the decoded message.

Abstract: Embodiments disclosed herein may include a system including a server configured to receive from the mobile device the digital image capturing the object, execute an object recognition protocol to identify one or more image features of the digital image, determine an identification of the object based upon the one or more features of the digital image identified by the executed object recognition protocol, generate an object profile of the object based upon one or more data records of the object stored in the system databases where each respective record containing at least one data point corresponding to a valuation of the respective object, determine a value of the data point based upon the valuation of the respective object and a characteristic of a member, and transmit to the mobile device the object profile for the object captured in the digital image.

Abstract: A circuit provides a physically unclonable function. The circuit includes a first portion that provides a random value that varies according to an input to the circuit and a second portion that hashes the random value to provide an output value from the circuit. The first portion covers the second portion to prevent access to the random value. A breach of the first portions may alter operation of the first portion in a detectable manner. The first portion may cover a surface of a cube or parallelepiped. The first portion may be wrapped around a parallelepiped a plurality of times to cover each facet thereof from different directions. The output from the second portion may not intersect the first portion. The circuit may also include an external layer disposed on the first portion. The external layer may be glued to the first portion.

Abstract: The present disclosure provides a traffic sign detection method, apparatus, system and medium. The method includes: determining geographic location information of a to-be-detected traffic sign; sending a request message for requesting for obtaining sign formation of the traffic sign, where the request message includes the geographic location information; and receiving the sign formation of the traffic sign corresponding to the geographic location information.

Abstract: A non-uniformity correction method for an infrared image based on guided and high-pass filtering includes: assigning high-frequency component of first image frame of original image sequence to first fixed pattern noise f1; successively loading N-th image frame of the original image sequence with non-uniformity as current image frame, determining a difference between the current image frame and (N?1)-th image frame to obtain (N?1)-th differential image frame, and obtaining a relative change amplitude of each image element of (N?1)-th image frame according to the (N?1)-th differential image frame; and performing high-pass filtering based on a combination of a high-frequency component of the current image frame obtained through guided filtering and the relative change amplitude to obtain n-th fixed pattern noise fn, and performing non-uniformity correction on the current image frame according to fn to obtain a correction result of the current image frame, where N?2, n?2.

Abstract: A computer-implemented method for assessing a building structure. The method includes receiving information indicative of captured data, the captured data comprising an image of the building structure. The method includes receiving information indicative of an analysis of the captured data. The method includes based on the analysis of the captured data, performing an assessment of the one or more examined regions. Performing the assessment includes determining one or more classifications each corresponding to a different one of the one or more examined regions, and determining one or more indicators each corresponding to a different one of the one or more classifications. The method includes determining a mapping of the one or more indicators to the one or more examined regions. The method includes providing for display the one or more indicators overlaid onto the image according to the determined mapping.

Abstract: A method, for a digital computer having a memory and a processor for executing a program, for creating and importing data into a form viewable by a user of a data processing system, comprising the steps of: (a) importing data exported from an end user application and populating one or more data fields in the viewable form with the imported data; (b) performing calculations on the imported data and rule conditions required to fill in the form, the calculations and rule conditions being in a form file created with a form designer; (c) allowing the user to review and change the imported data; and (d) outputting the viewable form.

Abstract: Techniques for local weather forecast using a local weather forecast model are described herein. The disclosed techniques include generating data indicative of future weather conditions for a plurality of locations based at least on future forecast data provided by an existing forecast provider and a correlation between data collected by a plurality of data collection devices and historical data provided by the existing forecast provider. The disclosed techniques also include temporally and spatially interpolating the generated data and obtaining higher-frequency future weather forecast data for the plurality of locations and local weather forecast data for other locations than the plurality of locations.

Abstract: Apparatuses, methods, systems, and program products are disclosed for watermark security. An apparatus includes a content module configured to identify data to be presented in a graphical interface. An apparatus includes a watermark module configured to generate a digital watermark to be presented in a graphical interface based on identified data. A digital watermark verifies an authenticity of data to be presented in a graphical interface. An apparatus includes a presentation module configured to embed a digital watermark into a graphical interface prior to data being presented in the graphical interface such that the digital watermark is graphically indistinguishable to a user in the graphical interface.

Abstract: There is provided an arrangement which is capable of reliably generating and transmitting viewing information with respect to contents received via a communication route other than terrestrial broadcasting waves. Contents in which a contents ID applicable to the generation of viewing information and viewing information-compatible data such as viewing information destination information or the like are recorded in an electronic watermark (WaterMark) or a sound data file are sent from a transmitting apparatus to a receiving apparatus. The receiving apparatus acquires the contents ID and the viewing information destination information, etc. from the electronic watermark (WM) or the sound data file, generates viewing information using the acquired data, and sends the generated viewing information to a designated address.

Abstract: The present disclosure relates to systems and methods for detecting and identifying anomalies within a discrete wavelet database. In one implementation, the system may include one or more memories storing instructions and one or more processors configured to execute the instructions. The instructions may include instructions to receive a new wavelet, convert the net transaction to a wavelet, convert the wavelet to a tensor using an exponential smoothing average, calculate a difference field between the tensor and a field having one or more previous transactions represented as tensors, perform a weighted summation of the difference field to produce a difference vector, apply one or more models to the difference vector to determine a likelihood of the new wavelet representing an anomaly, and add the new wavelet to the field when the likelihood is below a threshold.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for hiding copyright information in a display screen. One of the methods includes generating, by a computing device, a unique identifier (ID) based on copyright information associated with a digital content, wherein the copyright information and the digital content are recorded on a blockchain of a blockchain network; determining one or more attributes associated with the display screen; and converting the unique ID to a digital watermark based on the one or more attributes, the digital watermark not being apparent to an unaided human eye when displayed in the display screen and enables retrieval of the copyright information from the blockchain based on the unique ID.

Abstract: A computer-implemented method includes: obtaining, by an application client executing on a terminal, a display request; and controlling, based on the display request, a display screen of the terminal to simultaneously display a scanning region and a first identification code in an interface, in which the first identification code stores information corresponding to a user of the terminal, in which the scanning region displays a second identification code scanned by a camera of the terminal, and in which the second identification code is usable by the terminal to perform operations based on the second identification code.

Abstract: An image processing method determines a geometric transform of a suspect image by efficiently evaluating a large number of geometric transform candidates in environments with limited processing resources. Processing resources are conserved by using complementary methods for determining a geometric transform of an embedded signal. One method excels at higher geometric distortion, and specifically, distortion caused by greater tilt angle of a camera. Another method excels at lower geometric distortion, for weaker signals. Together, the methods provide a more reliable detector of an embedded data signal in image across a larger range of distortion while making efficient use of limited processing resources in mobile devices.

Abstract: A method of training a computer program to recognize software application controls includes: providing a controller and a memory coupled to the controller, wherein the controller is configured to: receive a plurality of images of one or more GUIs of one or more software applications, analyze the one or more GUI images via an image recognition algorithm to identify a position and associate a function for each of one or more user input controls found in the images, generate a set of execution instructions including the identified position of the input controls and their associated functions, test the accuracy of the execution instruction by executing the identified input controls in the one or more software applications and analyze one or more images captured to show the results of the execution.

Abstract: This disclosure relates to advanced image signal processing technology including encoded signals and digital watermarking. One claim recites a printed object comprising a machine-readable signal therein, the printed object comprising: a substrate; a first color printed on a substrate, the first color printed on the substrate so as to include holes without the first color, the holes arranged corresponding to the 2-d spatial pattern representing the machine-readable signal; a second color printed in the holes, in which the first color and the second color comprise a spectral reflectance difference at or around 660nm in the range of 8%-60%, in which the second color is printed in the holes with a trap of 1-4 pixels, and in which the machine-readable signal is detectable from image data captured with red-light illumination, the red-light illumination comprising a peak illumination at or around 660nm, in which the trap comprises a spread trap, in which the second color overlaps the first color.

Abstract: Systems and methods for image modification to increase contrast between text and non-text pixels within the image. In one embodiment, an original document image is scaled to a predetermined size for processing by a convolutional neural network. The convolutional neural network identifies a probability that each pixel in the scaled is text and generates a heat map of these probabilities. The heat map is then scaled back to the size of the original document image, and the probabilities in the heat map are used to adjust the intensities of the text and non-text pixels. For positive text, intensities of text pixels are reduced and intensities of non-text pixels are increased in order to increase the contrast of the text against the background of the image. Optical character recognition may then be performed on the contrast-adjusted image.

Abstract: Systems and methods for phishing and brand protection of websites via copycat detection are disclosed herein. An example apparatus includes at least one processor, a display, and memory including instructions that, when executed, cause the at least one processor to determine a first hash of a first image in a webpage and a second hash of a second image in the webpage, the second image different from the first image, the first hash different from the second hash, generate a temporary page profile associated with the webpage based on the first hash and the second hash, fuzzy match the temporary page profile to a baseline page profile, and in response to a determination that the temporary page profile does not match the baseline page profile, generate an alert to be displayed via the display to indicate that fraud has been detected for the webpage.

Abstract: A method of and system for distributing a content item, having a plurality of segments. A composite content item is created by concatenating segments from different content items from different agencies. A segment of the composite content item may or may not already comprise a previously embedded segment watermark carrying a previously embedded segment payload. The method comprises determining if the segment already comprises a previously embedded segment watermark, and if so, logging the previously embedded segment payload in a watermark transaction log associated with the new segment payload; otherwise, embedding the new segment payload as a watermark in the segment. In the case that the segment already comprises a previously embedded segment payload, the previously embedded payload is logged in a watermark transaction log, and the previously embedded segment payload is replaced with a new segment watermark that represents the new segment payload.

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.