Abstract: Systems and methods for property feature detection and extraction using digital images. The image sources could include aerial imagery, satellite imagery, ground-based imagery, imagery taken from unmanned aerial vehicles (UAVs), mobile device imagery, etc. The detected geometric property features could include tree canopy, pools and other bodies of water, concrete flatwork, landscaping classifications (gravel, grass, concrete, asphalt, etc.), trampolines, property structural features (structures, buildings, pergolas, gazebos, terraces, retaining walls, and fences), and sports courts. The system can automatically extract these features from images and can then project them into world coordinates relative to a known surface in world coordinates (e.g., from a digital terrain model).

Abstract: The parameters of an optical code are optimized to achieve improved signal robustness, reliability, capacity and/or visual quality. An optimization program can determine spatial density, dot distance, dot size and signal component priority to optimize robustness. An optical code generator employs these parameters to produce an optical code at the desired spatial density and robustness. The optical code is merged into a host image, such as imagery, text and graphics of a package or label, or it may be printed by itself, e.g., on an otherwise blank label or carton. A great number of other features and arrangements are also detailed.

Abstract: Methods and a System are provided for proving media content was played on a display through capturing of audit information presented in watermarks when the content is played on the display. In a method, content watermarks are generated for content that is to be rendered on a display of a display device. An image sensor that is externally affixed to a corner of the display captures the watermarks as the content is rendered on the display, the image sensor captures the watermarks being played with the content from the area associated the corner where the image sensor is affixed. The image sensor captures the watermarks as images and streams the images back to the display device for storage. The stored watermarks are processed to verify that the corresponding content associated with the watermarks was played by the display device (visually rendered on the display of the display device).

Abstract: Various embodiments are directed to assigning offers to marketing deliveries utilizing new features to describe offers in the marketing deliveries. Marketing deliveries can be described at a finer level to thus enhance the effectiveness of building and conducting marketing campaigns. The approaches facilitate matching content to recipients, predicting content performance, and measuring content performance after dispatching a marketing delivery.

Abstract: A system for computerized authentication of a laminated object, the system comprising a digital medium storing a digital image of at least a portion of the laminated object in a computer-implemented memory; a shininess analyzer operative, using a processor, to generate shininess data quantifying shininess of the digital image; and a parameterized computerized authentication sub-system operative to differentially perform at least one laminated object authentication operation based on the shininess data.

Abstract: Methods, systems, and devices that support determining whether media data has been altered are described. Captured media data may be segmented into one or more subsets, and cryptographic representations (e.g., hashes) based on the subsets may be written to an immutable ledger, possibly along with metadata and other related data. A block of a blockchain may be created for each entry in the immutable ledger. A set of media data may be validated, if a corresponding immutable ledger exists, based on segmenting the set of media data into one or more subsets in accordance with the segmenting upon capture, creating candidate cryptographic representations (e.g., hashes) based on the subsets, and comparing the candidate cryptographic representations with contents of the corresponding immutable ledger.

Abstract: Systems and methods for providing customized skin care product recommendations. The system utilizes an image capture device and a computing device coupled to the image capture device. The computing device causes the system to analyze a captured image of a user via the by processing the image through a convolutional neural network to determine a skin age of the user. Determining the skin age may include identifying at least one pixel that is indicative of the skin age and utilizing the at least one pixel to create a heat map that identifies a region of the image that contributes to the skin age. The system may be used to determine a target skin age of the user, determine a skin care product for achieving the target skin age, and provide an option for the user to purchase the product.

Abstract: A method and an apparatus for generating cover images for steganography are provided. The steganographic framework is designed based on an image generation system. The apparatus may encode a message to obtain a binary sequence. The apparatus may obtain a plurality of binary segments of a particular length based on the binary sequence. For each binary segment of the plurality of binary segments, the apparatus may select an image of a semantic content (e.g., a numeral digit) from a dictionary of images of random semantic contents (e.g., random numeral digits) based on the binary segment. The apparatus may combine the selected images to form at least a portion of a cover image denoting a combination of the semantic contents of the selected images (e.g., a plurality of numeral digits).

Abstract: A method and system for using steganographically-encoded time information as a basis to control when a client carries out a content-related action. The client processes for presentation one or more linear media streams, each defining a respective time sequence of frames of media content, and at least one of the streams being steganographically encoded with at least one watermark at a respective time-point within the stream, the watermark encoding a timestamp of the respective time-point within the stream according to a server clock. The client extracts the timestamp from the watermark and computes a time offset based on a difference between the extracted timestamp and a current time according to a client clock. And the client uses the computed time offset as a basis to determine when the client should carry out a content-related action in a given one of the one or more linear media streams.

Abstract: Embodiments are directed to accurately measuring a distance between a “true probability distribution: q” and a “probability distribution determined from a model of a generator: p” by D(x,y) of cGANs, so that a generated image may be made closer to a true image. A method of generating an image by using a conditional generative adversarial network constituted by two neural networks which are a generator and a discriminator, in which the discriminator outputs a result obtained from an arithmetic operation using a model of the following equation: f(x,y;?):=f1(x,y;?)+f2(x;?)=yTV???(x)+???(???(x)).

Abstract: Example apparatus disclosed herein include means for processing media signatures of a first type to monitor media presented by a media device, the processing of the media signatures of the first type to be performed until a first media signature of the first type is determined to match a reference signature of the first type. Disclosed example apparatus also include means for processing media signatures of a second type associated with the first reference media to monitor the media presented by the media device, the processing of the media signatures of the second type to begin after the first media signature of the first type is determined to match the reference signature of the first type, the processing of the media signatures of the second type to end when a number of media signatures of the second type is determined not to match corresponding reference signatures of the second type.

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: A method and system of augmenting display content in a graphical user interface environment. Content produced by a graphical user interface is augmented with additional content before the content is displayed. In an example, a security marker may be rendered on top of an existing display content using the method described to protect high-value or sensitive information.

Abstract: The invention provides a method for processing and analyzing forensic video data using a computer program, the method comprising the steps of recording the forensic video data; providing supplementary data related to the recorded video data, wherein the supplementary data may be provided from or input by a source external of the computer program, in particular a human, or wherein the supplementary data may be extracted from the forensic video data by the computer program in an initial analyzing step; analyzing the forensic video data by the computer program using the supplementary data; and displaying a part of the forensic video data, the displayed part being based on a result of the analyzing step.

Abstract: Systems and methods are provided for multimedia processing. For example, an encoded file is acquired; the encoded file is parsed to obtain application-indication information and watermark-indication information associated with the encoded file; a multimedia-recording application associated with the application-indication information is called; watermark information is generated based on at least the watermark-indication information; the watermark information displayed on a recording interface of the multimedia-recording application; and in response to multimedia information being generated on the recording interface of the multimedia-recording application, the watermark information and the multimedia information is integrated.

Abstract: This relates to intelligent automated assistants and, more specifically, to intelligent context sharing and task performance among a collection of devices with intelligent automated assistant capabilities. An example method includes, at a first electronic device participating in a context-sharing group associated with a first location: receiving a user voice input; receiving, from a context collector, an aggregate context of the context-sharing group; providing at least a portion of the aggregate context and data corresponding to the user voice input to a remote device; receiving, from the remote device, a command to perform one or more tasks and a device identifier corresponding to a second electronic device; and transmitting the command to the second electronic device based on the device identifier, wherein the command causes the second electronic device to perform the one or more tasks.

Abstract: The present invention provides a system used to confirm that a user of a mobile terminal device has visited a prescribed location, the system including the mobile terminal device and a server, the server including a control device and one or more wireless devices, wherein: the one or more wireless devices transmit a service notification; the mobile terminal device transmits a visit confirmation request; at least one wireless device transmits a task notification; the mobile terminal device executes a task on the basis of the task notification and repeatedly transmits a task completion notification; at least one wireless device transmits a solution request; the mobile terminal device transmits a solution notification; at least one wireless device receives the solution notification transmitted from the mobile terminal device; and the control device determines the legitimacy of the visit confirmation request on the basis of the solution notification.

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: Provided are an image processing device and the like which implement personal privacy protection while suppressing a reduction in visibility for an image. The image processing device is provided with: a memory storing instructions; and one or more processors configured to execute the instructions to: detect a person region that is a region where a person appears in an image captured by a camera device; and perform, on the person region, privacy processing a strength of which differs according to a depth associated with coordinates of the person region or a predetermined index related to the depth.

Abstract: Systems, methods, and computer-readable for multi-spatial scale object detection include generating one or more object trackers for tracking at least one object detected from on one or more images. One or more blobs are generated for the at least one object based on tracking motion associated with the at least one object. One or more tracklets are generated for the at least one object based on associating the one or more object trackers and the one or more blobs, the one or more tracklets including one or more scales of object tracking data for the at least one object. One or more uncertainty metrics are generated using the one or more object trackers and an embedding of the one or more tracklets. A training module for detecting and tracking the at least one object using the embedding and the one or more uncertainty metrics is generated using deep learning techniques.

Abstract: Watermarking of a content stream is accomplished in a session-based manner to provide watermarking based on a uniquely generated manifest that will result in a stream that allows for unique identification of information. The manifest specifies a sequence of watermarks for successive segments of a content stream designated for a specific receiver. The system and method leverages existing content distribution infrastructure and has many of the benefits of conventional head-end watermarking, allows unique identification of small segments of the data stream and reduces content distribution network storage requirements. Groups of nodes can be provided with unique watermark patterns and detection and watermark pattern reconfiguration can be accomplished in an iterative manner to find a specific node without the need to create unique watermark patterns for each node.

Abstract: A method is described for identifying and classifying objects, detected by a sensor apparatus which actively emits radiation, in terms of the relevance thereof to a driving situation of a moving vehicle, wherein radiation is emitted by the sensor apparatus and the echo radiation reflected at objects is received as measurement values, including: detecting measurement values in relation to the driving situation of the vehicle, performing an analysis of the driving situation represented by the measurement values and identifying at least one possible object, classifying the at least one identified object in an object class of a plurality of object classes, in which performing the analysis of the measurement values includes: transforming the detected measurement values from a coordinate system fixed in terms of the vehicle into a coordinate system fixed in terms of space for generating measurement values fixed in terms of spatial coordinates, wherein this transformation is based on the vehicle speed and the yaw ra

Abstract: An object detection device 30 comprises a position region detecting part 31 using a first neural network to detect a position region of an object in the image, a large attribute identification part 32 configured using a second neural network to identify a large attribute of the object, a small attribute identification part 33 using a third neural network to identify a small attribute of the object, and an object judging part 34 judging a result of detection of the object. The object judging part is configured to judge that a result of identification of the small attribute is the result of detection if a confidence of the result of identification of the small attribute is equal to or more than a threshold value, and judge the result of detection based on a result of identification of the large attribute if the confidence is less than the threshold value.

Abstract: An indication is received to export a file from a host having an authentication device. A memory buffer is allocated for a signature region, a header region, and a content region. A location stamp and a time stamp are calculated for content of the file. The location and time stamps are copied to the header region. An authentication signature is generated using a private key associated with the authentication device. The authentication signature is based on the header and content regions, which include the copied location stamp and timestamp, and content of the file. The authentication signature is copied to the signature region. The memory buffer is written to a new file, the new file being a signed version of the file and including the signature region having the authentication signature, the header region having the location and time stamps, and the content region having the content of the file.

Abstract: Techniques for digital video authentication (and preventing fake videos) are disclosed. First pixels within a first image frame of the video clip representing an area of interest within the first image frame may be identified. The area of interest may correspond to a person's face or another object. A first frame signature may be calculated based on the first pixels. Second pixels within a second image frame of the video clip representing an area of interest within the second image frame may be identified. A second hash value may be calculated based on the second pixels. The authenticity of the video clip may be determined by comparing the first and second hash values against data extracted from third pixels within the first image frame that do not correspond to the area of interest in the first image frame.

Abstract: A visual tracking system for tracking and identifying persons within a monitored location, comprising a plurality of cameras and a visual processing unit, each camera produces a sequence of video frames depicting one or more of the persons, the visual processing unit is adapted to maintain a coherent track identity for each person across the plurality of cameras using a combination of motion data and visual featurization data, and further determine demographic data and sentiment data using the visual featurization data, the visual tracking system further having a recommendation module adapted to identify a customer need for each person using the sentiment data of the person in addition to context data, and generate an action recommendation for addressing the customer need, the visual tracking system is operably connected to a customer-oriented device configured to perform a customer-oriented action in accordance with the action recommendation.

Abstract: A system includes a server and a printing apparatus. The server manages a first printing content and a second printing content as a predetermined printing target. When an instruction user issues a speech instruction for printing the predetermined printing target to an audio control device as an n-th speech print instruction, the server selects the first printing content associated with the predetermined printing target.

Abstract: Systems, methods and computer-readable media are provided for tracking a moving sports object. In one example, a method of tracking a moving sports object includes calibrating a perspective of an image of a camera to a perspective of a Doppler radar for simultaneous tracking of the moving sports object, and tracking the moving sports object simultaneously with the camera and Doppler radar. The method may further comprise removing offsets or minimizing differences between simultaneous camera measurements and Doppler radar measurements of the moving sports object. The method may also include combining a camera measurement of an angular position of the moving sports object with a simultaneous Doppler measurement of a radial distance, speed or other measurement of the moving sports object.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying copyrighted material based on embedded copyright information. One of the methods includes generating, by a computing device, a unique identifier (ID) based on copyright information associated with the textual content, wherein the text and the copyright information are recorded on a blockchain of a blockchain network; adding, by the computing device, one or more function words to the textual content without altering a meaning of the textual content; and embedding, by the computing device, the unique ID in the function words to produce an information-embedded textual content that enables retrieval of the copyright information from the blockchain based on the unique ID.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for embedding copyright information in one or more pages for presenting digital content. One of the methods includes generating, by a computing device, a unique identifier (ID) based on copyright information associated with the digital content; identifying one or more attributes associated with a page design of one or more blank pages of an electronic file; embedding the unique ID in the one or more blank pages by changing the one or more attributes to be representative of the unique ID; allocating the digital content to at least one of the one or more information-embedded pages; and distributing, by the computing device, the one or more information-embedded pages allocated with the digital content to the blockchain network.

Abstract: An image processing method includes acquiring an original image including cells as an imaging target, performing band-pass filtering on the original image with respect to a spatial frequency component within a band determined in accordance with a width of an outline of the imaging target and attenuating relatively other spatial frequency component outside the band, segmenting an image after the filtering into a first region having density higher than a threshold value and a second region, connecting the first regions sandwiching the second region by changing a portion of the sandwiched second region to the first region in an image after the segmenting, converting a closed region which is the second region in an image after the connection surrounded by the first region into the first region, and dividing the first region having, a neck into regions at a position of the neck in an image after the converting.

Abstract: A content processing system obtains an identification associated with a device configured to receive content, generates a digital watermark reflecting the receiving device's identification, provides watermarked content by including the digital watermark in the content, and transmits the watermarked content from an edge computing device to the receiving device for the playback. The digital watermark is not visually observable during playback of the watermarked content, and it enables tracking of transmission of the watermarked content.

Abstract: A method and a system for generating dynamic map information with environment information are provided, wherein the system includes a cloud server, multiple relay hosts distributed around the environment and multiple vehicle devices each installed respectively in different vehicles. Each vehicle device includes a LiDAR sensor and a camera for sensing the environment to respectively generate point cloud data and image data. When the point cloud data from different vehicles are transmitted to a neighboring relay host, the relay host performs a multi-vehicle data integration mode to merge the point cloud data and obtain 3D coordinates information of objects in the environment according to the merged data. Based on the 3D coordinates information of objects, the cloud server generates and transmits dynamic map information to the vehicles. By sharing sensing data of different vehicles, the sensing area of each vehicle is expanded to mitigate dark zones or blind zones.

Abstract: A server includes a virtual machine to execute a remote graphics generation protocol. Execution of the remote graphics generation protocol determines a protection label to be inserted within a bitmap that is to be transmitted for display on a client machine associated with the virtual machine, and determines at least one optimization technique to be performed on the bitmap. A determination is made on if the at least one optimization technique, if performed, alters the at least one protection label when inserted within the bitmap. The protection label is inserted within the bitmap.

Abstract: An image sensor is positioned such that a field-of-view of the image sensor encompasses at least a portion of a rack storing items. The image sensor generates angled-view images of the items stored on the rack. A tracking subsystem determines that a person is within a threshold distance of the rack and receives image frames of the angled-view images. A pixel position of a wrist of the person is determined in at least a subset of the received image frames, thereby determining a set of pixel positions of the wrist. An aggregated wrist position is determined based on the set of pixel positions. If the aggregated wrist position is determined to correspond to a position on a shelf of the rack, a trigger signal is provided indicating a shelf-interaction event has occurred.

Abstract: A discrete wavelet transform (DWT) based generative system for generating images of fashion products is provided. The system includes a memory having computer-readable instructions stored therein. The system includes a processor configured to access a plurality of fashion images of a plurality of fashion products. Each fashion image is generated at a first resolution. The processor is configured to train one or more DWT based generative models using the plurality of fashion images of the fashion products. Each of the generative models is selectively trained using a directional fashion image. The directional fashion image includes details of the fashion products corresponding to a pre-determined orientation and scale. The processor is further configured to generate an upsampled fashion image corresponding to each of the fashion images. Each upsampled fashion image is generated at a second resolution.

Abstract: An object (e.g., a driver's license) is tested for authenticity using imagery captured by a consumer device (e.g., a mobile phone camera). Corresponding data is sent from the consumer device to a remote system, which has secret knowledge about features indicating object authenticity. The phone, or the remote system, discerns the pose of the object relative to the camera from the captured imagery. The remote system tests the received data for the authentication features, and issues an output signal indicating whether the object is authentic. This testing involves modeling the image data that would be captured by the consumer device from an authentic object—based on the object's discerned pose (and optionally based on information about the camera optics), and then comparing this modeled data with the data sent from the consumer device. A great variety of other features and arrangements are also detailed.

Abstract: A method to an associated computer program product, to a production unit, and to an arrangement for examining a consistency between reference data of a production object and data of a digital twin of the production object, wherein two separate communication channels are used.

Abstract: An information processing apparatus generates authentication data that can be used for authentication of a first object that is included in a captured image captured by a first image capturing apparatus and has been authenticated by a first authentication apparatus corresponding to the first image capturing apparatus; and causes the authentication data to be reflected to an authentication database (DB) of at least one authentication apparatus included in a plurality of authentication apparatuses. The apparatus generates second authentication data corresponding to a second capturing condition differing from a first capturing condition corresponding to first authentication data that is included in the authentication DB of the first authentication apparatus and was used when authenticating the first object.

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: A monitoring apparatus for monitoring a subject (14) is disclosed. The monitoring apparatus comprises a storage device (18) for storing first skin secretion data (27) of the subject. A detection unit (12) detects a skin secretion at a skin portion of the subject and provides second skin secretion data (28) of the subject. An evaluation unit (16) evaluates the second skin secretion data and determines at least one physical parameter on the basis of the first skin secretion data and the second skin secretion data. One of the at least one physical parameter is a time value (25, 26) determinable on the basis of a difference between the first and the second skin secretion data.

Abstract: A method includes providing frames of video data for being displayed by a head mounted display (HMD). Pixel data is encoded in a pixel of at least some of the video data frames, the encoded pixel data defining a focal state of an optics block of the HMD for displaying the respective frame of the video data to a user. The predetermined focal state is determined from a plurality of available focal states of the optics block, each focal state corresponding to a different focal plane of a virtual image generated based on the video data. The pixel used for encoding may be disposed outside a region of the frame that is displayable by the HMD.

Abstract: To make it possible to easily extract additional information from printed matter by using a built-in camera of a mobile terminal. An information processing apparatus that reads additional information by capturing printed matter in which the additional information is embedded by using a built-in camera, including: a control unit configured to acquire a first captured image obtained by capturing the printed matter under a first image capturing condition and a second captured image obtained by capturing the printed matter under a second image capturing condition different from the first image capturing condition; and an extraction unit configured to extract the additional information by analyzing the first captured image and the second captured image.

Abstract: Methods and systems are employed for selectively controlling the presentation of broadcast content item in which a unique set of broadcast content items are presented based on the selection of a content type and a selection of a geography for each content type to control the manner in which broadcast content types are recorded and/or presented for the vehicle. In some embodiments, methods and systems are employed for providing relevant information to a vehicle based on receiving multiple broadcast streams, and separating the broadcast content items into segments based on a variety of content types along a predicted path of the vehicle.

Abstract: Examples described herein include electronic devices which may serve as hemochromatic analyzers, leveraging sensors and computation available on the electronic devices themselves, such as smartphones and smartwatches. In this manner, minor to no hardware modification may be required to a mobile phone or other electronic device to allow the device to predict hemoglobin levels.

Abstract: Methods, systems, and media for processing queries relating to presented media content are provided.

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 phenomenon pattern extraction unit extracts a phenomenon pattern of a past sensor signal of a facility. A related information correlation unit correlates the sensor signal based on maintenance history information. A phenomenon pattern classification reference creation unit creates a classification reference for classifying a phenomenon pattern based on the extracted phenomenon pattern and a work keyword included in the maintenance history information correlated with the sensor signal as the source of the phenomenon pattern. A phenomenon pattern classification unit classifies the phenomenon pattern based on the classification reference. A diagnosis model creation unit creates a diagnosis model for estimating a work keyword suggested to a maintenance worker based on the classified phenomenon pattern and the work keyword.

Abstract: A method for embedding the spread spectrum watermark into images with the self-adaptive embedding strength includes the following steps: designing a spread spectrum watermark capable of completely shielding a host signal interference by using prior knowledge of the host signal interference, self-adaptively adjusting a value of an embedding strength in the spread spectrum watermark with different host images, ensuring imperceptibility of each image while simultaneously maximizing robustness of the watermark, and finally embedding the spread spectrum watermark in the host image. The present disclosure can not only completely shield the host signal interference but also effectively withstand various common image processing attacks and geometric attacks, and at the same time, all the watermarked images can obtain consistent imperceptibility. The present disclosure can be applied to various watermarking techniques based on discrete cosine transform.

Abstract: In an embodiment, a computer-implemented method geolocates contents of a video with device orientation information. The method involves receiving a video captured by a camera on a mobile device. Parameters captured by sensors on the mobile device are also received. The parameters describe the mobile device's position and orientation while the mobile device captured the video. At least one ray from the mobile device's position is extended at an angle corresponding to an angle of view of the camera to determine a geographic area captured within the video.