Abstract: A liquid level detecting method is provided. Firstly, a receiving component is provided, wherein the receiving component includes a transmissive container for containing a liquid and a marking component located on a rear surface of the transmissive container. Then, a camera captures a receiving component image of the receiving component from a front surface of the transmitting container, wherein the receiving component image includes a transmissive container image and a marking component image. Then, the marker component image is analyzed downward from an end portion to obtain multiple width values of multiple position points of the marker component image. Then, a width difference between each width value and a width average of the marking component image is obtained. Then, a position point whose width difference value is not within a preset range is determined. Then, according to the position point, a liquid level of the liquid is determined.

Abstract: In a method of structured communications, responsive to a user interacting with an observation platform via a software application installed on a first communication device belonging to the user, a signal is received by a computer system of the observation platform. The computer system is associated with an organization. The computer system identifies credentials of the user. The computer system accesses a profile associated with the credentials the user. The profile includes a history of the user's activities associated with the organization. The computer system utilizes the profile of the user to determine a person representing the organization to place in contact with the user via the first communication device.

Abstract: Methods and systems for generating a size measurement of a body part of person for fitting a garment using a depth sensor.

Abstract: In an example, a capture system includes a content capture mechanism, an isolation engine, a mark strength engine, and a parameter controller. In that example, the isolation engine generates mark data, the mark strength engine identifies a first variance level in a first region of a first set of mark data, and the parameter controller adjusts a parameter of the content capture mechanism in accordance with a strength change based on a comparison of the first variance level to a second variance level in a first region of a second set of mark data.

Abstract: This specification describes techniques for verifying authenticity of an image. One example method includes identifying a baseline image depicting a baseline background; identifying a comparison image depicting a card; identifying a comparison background in the comparison image, wherein the comparison background is an area of the comparison image other than an area occupied by the card; determining a probability that the baseline background matches the comparison background; determining that the probability satisfies a verification threshold; and in response to determining that the probability satisfies a verification threshold, determining that the comparison image was acquired by capturing an image of a physical card corresponding to the card depicted in the comparison image.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining information to be embedded within an identification document. Modifying the information to add depth when viewed through a three-dimensional (3D) viewing device, thereby yielding modified information. Embedding the modified information in a target image to yield a modified target image such that the modified information is not viewable to a naked eye and the modified information is visible with added depth when viewed through a 3D viewing device. Disposing the modified target image on an identification document to yield embedded 3D information. An identification document includes the target image and 3D information embedded within the target image. The 3D information embedded within the target image is not visible to a naked eye, but is visible with added depth when viewed through a 3D viewing device.

Abstract: An installation for identifying handled parcels, said installation including a linear conveyor for conveying parcels in series. The installation further includes a monitoring and control central unit suitable for instantly determining the three-dimensional position of each parcel on the conveyor, and at least one handheld electronic unit that is suitable for detecting identification information on a parcel when it is placed in the vicinity of said parcel, and for transmitting said information to the central unit. The central unit is arranged to read an instantaneous three-dimensional position for said handheld unit in response to receiving said information coming from said handheld unit, and to detect a match between said instantaneous three-dimensional position of the handheld unit and said instantaneous three-dimensional position of the parcel as determined by the central unit.

Abstract: Systems and methods for preserving privacy in distribution of content using private tokens in accordance with embodiments of the invention are disclosed. In one embodiment, a method of anonymously tracking a digital content and remediating unauthorized distribution includes generating a private token including an identifier distinguishable from tokens generated by other playback devices and the association with the playback device is not shared, receiving a portion of content, embedding a digital watermark in the content, where the digital watermark includes the private token, detecting an unauthorized copy of the content, extracting the digital watermark from the unauthorized copy of the content, broadcasting an enforcement message containing the private token to the playback devices, receiving the enforcement message, and performing an enforcement action on the playback device in response, where only a playback device that generated the private token responds.

Abstract: Image processing apparatus 1 includes a hardware processor that acquires a bright-field image of a cell and a fluorescence image in which fluorescent spots of a fluorescent reagent applied dropwise to a region including the cell are imaged, and that uses a convolutional neural network to extract respective image features of the bright-field image and the fluorescence image and to output classification information concerning the cell.

Abstract: Disclosed herein are systems, computer-implemented methods, and tangible computer-readable media for representing media assets. The method includes receiving an original media asset and derivative versions of the original media asset and associated descriptors, determining a lineage to each derivative version that traces to the original media asset, generating a version history tree of the original media asset representing the lineage to each derivative version and associated descriptors from the original media asset, and presenting at least part of the version history tree to a user. In one aspect, the method further includes receiving a modification to one associated descriptor and updating associated descriptors for related derivative versions with the received modification. The original media asset and the derivative versions of the original media asset can share a common identifying mark.

Abstract: A method for classifying physical objects includes: controlling, by a processor, one or more depth cameras to capture depth images of a query object; controlling, by the processor, one or more color cameras to capture a color images of the query object; computing, by the processor, a three-dimensional (3D) model of the query object using the depth images; combining, by the processor, the color images with the 3D model; computing, by the processor, a descriptor from the 3D model and the color images, the descriptor including: a multi-dimensional shape descriptor space representation of a 3D shape of the query object; a multi-dimensional color descriptor space representation of a texture of the query object; and a one-dimensional size descriptor space representation of a size of query object; supplying, by the processor, the descriptor to a classifier to compute a classification of the query object; and outputting the classification of the query object.

Abstract: Methods and apparatus to measure exposure to streaming media are disclosed. An example method includes detecting metadata associated with streaming media presented at a client device. Data is extracted from a first field of the metadata. The data from the first field of the metadata is processed to generate a first request directed to a first internet domain, the first internet domain based on the data, the first request including a media identifier from a second field of the metadata, the second field of the metadata separate from the first field of the metadata, the media identifier identifying the streaming media. In response to the detection of the metadata, the first request is sent from the client device to the first internet domain.

Abstract: A fingerprint sensor module includes a fingerprint sensor assembly with a circuit element attached. The fingerprint sensor assembly is electrically connected to a printed circuit board (PCB) substrate with a cutout to accommodate the circuit element. The entire fingerprint sensor assembly and at least part of the PCB are encapsulated in a encapsulating material to produce a structurally robust fingerprint sensor module suitable for integration into an electronics device such as a smartphone or other “Internet of Things” (IOT) electronic device.

Abstract: A steganographic coding detector (and method) analyzes one or more pages of a file. For each page containing text strings, the detector counts a number of A0h and 20h characters for the text string. For each text string for which the number of A0h characters is greater than a first threshold, the detector sets a flag to a first state, The first threshold is computed based on the number of 20h characters in that text string. For each text string for which the number of 20h characters is less than the first threshold, the detector sets the flag to a second state. Responsive to the number of text strings that have a flag at the first state being greater than a second threshold, the detector marks the file as being steganographically encoded.

Abstract: Systems and methods for de-identification of medical images can be applied to medical images acquired using various techniques. A 3D medical image can be analyzed to generate an image mask that partitions the image into a foreground region and a background region. From the image mask, a “skin surface” can be reconstructed based on the boundary between the foreground region and the background region. The image mask can be modified, e.g., by moving a randomly-selected subset of the voxels from the foreground region to the background region so that the shape of the skin surface is altered, thus obscuring patient-identifying features. The original medical image can be modified by changing the intensity of voxels in the background region while preserving the original intensity of voxels in the foreground region.

Abstract: There is provided a non-transitory computer-readable medium storing application program executable by a processor of an information processing apparatus which communicates with a scanner having specific information. The specific information indicates whether the scanner is configured to generate a specific file for which specific processing is executable by a specific program. The application program, when executed by the processor, causes the information processing apparatus to: obtain an image read by the scanner; obtain the specific information from the scanner; and generate a file indicating the obtained image. In a case that the specific information is first information, the application program causes the information processing apparatus to generate the file with usable information embedded therein. In a case that the specific information is second information, the application program cause the information processing apparatus to generate the file without the usable information embedded therein.

Abstract: Techniques for tagging virtualized content are disclosed. In some embodiments, a modeled three-dimensional scene of objects representing abstracted source content is generated and analyzed to determine a contextual characteristic of the scene that is based on a plurality of objects comprising the scene. The modeled scene is tagged with a tag specifying the determined contextual characteristic.

Abstract: One embodiment of the invention disclosed herein provides techniques for distributing tasks to skilled workers participating in a managed crowd-sourcing workforce. A crowd worker routing system receives a request for a task assignment from a first worker participating in the crowd-sourcing workforce. The crowd worker routing system retrieves one or more scores associated with the first worker, wherein each score is related to the performance of the first worker with respect to completing a prior set of task assignments. The crowd worker routing system determines that a first task assignment included in a first set of task assignments is related to a first score included in the one or more scores. The crowd worker routing system determines whether to route the first task assignment to the first worker for completion based on the first score and one or more routing rules.

Abstract: An automated process assesses an amount of meat remaining on a trimmed animal carcass by generating image data of the carcass and processing the image data in a computer to calculate the amount of meat remaining on the carcass. The automated process can be carried out using an equation developed by counting pixels in an area of interest in images of a plurality of reference trimmed carcasses from which the remaining meat is thereafter scraped and weighed, to produce data points used to develop the equation which is then used to calculate the amount of meat remaining on a trimmed carcass as it proceeds down a processing line.

Abstract: A voice input unit has predetermined directivity for acquiring a voice. A sound source arrival direction estimation unit operating as a first direction detection unit detects a first direction, which is an arrival direction of a signal voice of a predetermined target, from the acquired voice. Moreover, a sound source arrival direction estimation unit operating as a second direction detection unit detects a second direction, which is an arrival direction of a noise voice, from the acquired voice. A sound source separation unit, a sound volume calculation unit, and a detection unit having an S/N ratio calculation unit detect a sound source separation direction or a sound source separation position, based on the first direction and the second direction.

Abstract: A system includes a memory, a processor in communication with the memory, a unique identifier generator, a transmitter, at least one receiver, a display, and a viewing aid. The transmitter is configured to transmit information about a unique identifier generated from the unique identifier generator. The receiver is configured to receive the information from the transmitter. The display is configured to emit polarized light at a plurality of polarizations. Additionally, the plurality of polarizations includes a plurality of different noise polarizations and polarized light at a polarization factor based on the unique identifier. The viewing aid has a filter that is configured to pass light at the polarization factor and block light at the plurality of different noise polarizations.

Abstract: Disclosed are methods for encoding information in a graphic image. The information may be encoded so as to have a visual appearance that adopts a particular style, so that the encoded information is visually pleasing in the environment in which it is displayed. An encoder and decoder are trained during an integrated training process, where the encoder is tuned to minimize a loss when its encoded images are decoded. Similarly, the decoder is also trained to minimize loss when decoding the encoded images. Both the encoder and decoder may utilize a convolutional neural network in some aspects to analyze data and/or images. Once data is encoded, a style from a sample image is transferred to the encoded data. When decoding, the decoder may largely ignore the style aspects of the encoded data and decode based on a content portion of the data.

Abstract: A system for identifying and displaying one or more optimal locations within a lot for a garden in which to plant and grow suggested plant varieties is discussed. The system includes a robotic device positioned and configured to scan the lot and to generate at least one lot parameter. The system also includes a soil sensor positionable in soil in the lot and configured to generate at least one soil parameter. The system further includes a computing system configured to execute a location optimization module that determines varieties of suggested plants based on the soil parameter and the lot parameter. Based on a user selection from the varieties of suggested plants, the computing system identifies optimal locations for a garden within the lot for the one or more selected plants. The computing system transmits the optimal locations for the garden to a user computing device for display.

Abstract: Disclosed embodiments include a method and a device for generating position information of a target object. In some embodiments, the method comprises: obtaining target point cloud data of the target object, acquired by a target scanner at a target position, and position information of the target scanner, and obtaining reference point cloud data of the target object, acquired by a reference scanner at a reference position, and position information and an Euler angle of the reference scanner; obtaining an Euler angle of the target scanner based on the target point cloud data, the reference point cloud data, and the Euler angle of the reference scanner; and generating the position information of the target object based on the target point cloud data, the position information and the Euler angle of the target scanner, the reference point cloud data, and the position information and the Euler angle of the reference scanner.

Abstract: Apparatus and methods for presentation of key frames. In one embodiment, an encoded video file is generated where one or more bits are assigned to key frames and minimizes the number of bits assigned to delta frames. Each key frame may be presented to a user during trick mode operation (e.g., fast forward, rewind, pause, or random seek operation). When the encoded video file is given to a packager, the packager generates a manifest file listing the byte information (byte offset and number of bytes) for each key frame in the encoded video file. When a user inputs a trick play mode command, the packager provides the manifest file to the client device of the user and the client device requests the bytes for the key frames of the video file from the content delivery network.

Abstract: A signal adjustment apparatus includes a memory configured to store a first video obtained by imaging an object reflecting light that changes in time series in accordance with information embedded in the light, a processor coupled to the memory and configured to analyze the first video to specify an area in which the information is embedded in an image included in the first video, adjust a signal in the area, and output a second video including the adjusted signal.

Abstract: The present disclosure provides systems and methods that perform face reconstruction based on an image of a face. In particular, one example system of the present disclosure combines a machine-learned image recognition model with a face modeler that uses a morphable model of a human's facial appearance. The image recognition model can be a deep learning model that generates an embedding in response to receipt of an image (e.g., an uncontrolled image of a face). The example system can further include a small, lightweight, translation model structurally positioned between the image recognition model and the face modeler. The translation model can be a machine-learned model that is trained to receive the embedding generated by the image recognition model and, in response, output a plurality of facial modeling parameter values usable by the face modeler to generate a model of the face.

Abstract: There is disclosed in an example a computing apparatus, comprising: a network interface; a messaging application to communicate via the network interface; and one or more logic elements comprising a security layer, discrete from the messaging application, to: generate a message; secure the message; and send the message via the messaging application.

Abstract: The present disclosure relates to computer-implemented methods, computer-readable media, and computer systems for gameplay operations related to a puzzle-based game. In one example, a method can include identifying a puzzle for use in a jigsaw puzzle application, the puzzle comprising a set of puzzle pieces forming a puzzle image. The puzzle is divided into a subset of chunks including mutually exclusive sets of interconnected pieces. The puzzle is presented to a player, where the presented puzzle illustrates the set of puzzle pieces and includes prompting the player to select a particular piece as a starting piece. In response, the chunk associated with the particular piece is identified. An area for solving the identified chunk associated with the particular piece is presented, where the area includes a solution area for solving the identified chunk and a player hand area for providing potential pieces for solving the identified chunk.

Abstract: A perspective distortion characteristic based facial image authentication method and storage and processing device thereof are proposed. The method includes: S1: recognizing key points and a contour in a 2D facial image; S2: acquiring key points in a corresponding 3D model; S3: calculating camera parameters based on a correspondence between the key points in the 2D image and the key points in the 3D model; S4: optimizing the camera parameters based on the contour in the 2D image; S5: sampling the key points in the two-dimensional facial image by multiple times to obtain a camera intrinsic parameter estimation point cloud; and S6: calculating the inconsistency between the camera intrinsic parameter estimation point cloud and the camera nominal intrinsic parameters, and determining the authenticity of the facial image. The present disclosure can effectively authenticate the 2D image and has a relatively higher accuracy.

Abstract: Systems and methods for geometric calibration and image reconstruction in computed tomography (CT) scanning using iterative reconstruction algorithms are provided. An iterative reconstruction algorithm can be used to reconstruct an improved image, and then the improved image can be used to adjust inaccurate parameters by using a Locally Linear Embedding (LLE) method. Adjusted parameters can then be used to reconstruct new images, which can then be used to further adjust the parameters. The steps of this iterative process can be repeated until a quality threshold is met.

Abstract: Embodiments of the present disclosure relate to systems, techniques, methods, and computer-readable mediums for one or more database systems configured to perform image identification of an image captured using a remote mobile device, and display of identity information associated with the captured image on the remote mobile device, in communication with the database system(s). A system obtains an image captured using a camera on a remote mobile device and performs image analysis to identify the captured image using reference images in one or more databases. The system can present the results for display an interactive user interface on the remote mobile device.

Abstract: A system and method that maximizes tracking speed of an object in a sequence of images by selecting a technique for tracking the object independently for each frame in a video. The system includes an object feature detector that detects object features in a reference frame of the video and a feature comparator that determines a number of object features in each frame in the sequence of images that match the detected object features in the reference frame. Moreover, a tracking pattern selector selects the type of object tracking to track the object in the current frame based on the determined matched object features between the reference frame and the current frame of the video.

Abstract: Systems and methods are described for identifying and validating the routes and characteristics of roads unknown to a road mapping database. The systems and methods may combine feature recognition analysis of aerial images with other information sources such as location tracking information from a mobile device or client in order to improve the accuracy of road information stored within a road mapping database. The systems and methods may also facilitate the collection of additional information regarding the characteristics of the identified roads from a client device or user thereof.

Abstract: A time-series data cache is operatively coupled between a time-series analytics application program and a time-series data store, and configured to temporarily store portions of the time-series data. The time-series data store is configured to persistently store time-series data. The time-series data cache is further configured to be responsive to one or more data read requests received from the time-series analytics application program.

Abstract: Techniques are described for capturing an image of a document or other type of physical object, and presenting the image in a user interface (UI) with an overlay that includes context information regarding the document or other physical object in the image. An application running on a portable computing device receives an image of the document that is captured using a camera of the device. The application may perform an initial analysis to identify one or more data elements present in the document, such as certain words, phrases, paragraphs, and so forth. The data elements can be uploaded to a remote service that analyzes the data elements and returns context data which is presented as an overlay to the image of the document. The context data can then be presented in an overlay to the presented image of the physical object.

Abstract: Described herein is a system that generates and displays an interactive timeline for a teleconference session, where the interactive timeline includes a representation of supplemental recorded content that has been added after a live viewing of the teleconference session has ended. The system can inject the supplemental recorded content into previously recorded content or append the supplemental recorded content to the interactive timeline. Moreover, the system can cause the supplemental recorded content to subsequently be displayed in one of multiple different views. Furthermore, the system can generate and/or distribute a notification of the supplemental recorded content so that participants to the teleconference session can be made aware of additional activity contributed to the teleconference session (e.g., by someone who missed the live viewing of the teleconference session).

Abstract: A method and an apparatus for processing high-precision map data, a storage medium and a device. The method includes: performing at least twice collection on map data along a target trajectory so as to respectively acquire at least twice original map data; recognizing an object in the original map data respectively, and extracting an object feature; matching the object feature in each of the original map data; considering an object with the matched object feature as a reference object; and performing fusion processing on each of the original map data. An object in original map data is recognized and an object feature is extracted, then the object feature in each of the original map data is matched and the object obtained after the matching is considered as a reference object, and the reference object is utilized to perform fusion processing on the original map data.

Abstract: Systems, methods, and program products for providing secure authentication for electronic messages are disclosed. A method may comprise generating an asymmetric private key based at least in part upon an invariant biometric feature vector derived from an input biometric reading. The private key may be further based at least in part upon a user password. The resulting private key may not be stored but rather may be generated when required to authenticate an electronic message, at which time it may be used to provide a digital signature for the electronic message. The private key may be deleted after use. The private key may be regenerated by inputting both a new instance of the biometric reading as well as a new instance of the password.

Abstract: Various embodiments for performing services on hardware by use of a mobile user device incorporating a processor. Identifying information of the hardware is recognized. An appropriate action plan, based on the recognized hardware and any service history previously associated with the hardware, is selected. The selected action plan is verified against the hardware.

Abstract: In one aspect, a device includes a processor, a microphone accessible to the processor, and storage accessible to the processor. The storage bears instructions executable by the processor to, without receiving a user command to enter voice recognition mode, automatically activate the microphone responsive to a determination based on a proximity signal that a user is proximate to the device.

Abstract: A structural analysis computing device for determining structural characteristics of an object pictured in a three-dimensional (3D) image may be provided. The structural analysis computing device may include a memory, a user interface, an object sensor configured to capture the 3D image of the object, and at least one processor in communication with the memory and the object sensor. The processor may be configured to access the 3D image including the object, automatically determine a first plurality of measurements of the object from the 3D image, and display the 3D image on the user interface. The processor may be further configured to generate a data file including the 3D image and the first plurality of measurements, and store the data file within the memory. The processor may also be configured to transmit the data file to an insurance server computing device for generation of an associated insurance claim form.

Abstract: Systems and methods are described for providing remote control of separate media sources over a network using, for example, pop-up windows graphically depicting remote control devices within corresponding tabbed windows of a web browser. A browser plug-in or add-on application provides a graphical depiction of a remote control device associated with each media source and receives a command from the viewer via interaction with the graphical depiction of the remote control device.

Abstract: Fingerprinting a video including video frames is disclosed. A method includes receiving the video, generating sub-images, generating sub-fingerprints for the video using the sub-images, and matching the video to a reference video using the sub-fingerprints. Generating sub-images includes, for a video frame of some of the video frames, generating a binary image for the video frame, identifying a first region of the binary image, and identifying a sub-image of the video frame that is co-extensive and co-located with the first region of the binary image. A pixel of the video frame is identified in the binary image by a first value or a second value where the first value indicates a motion pixel and the second value indicates a still pixel. The first region includes more of the first value than the second value, and the first region is indicative of a motion in the video frame.

Abstract: A fixed-wing aircraft advertisement method, system, and non-transitory computer readable medium for a fixed-wing aircraft, include a user observing circuit configured to observe a plurality of users to identify a speaking user, a word identifying circuit configured to identify a keyword profile from words of the speech of the speaking user, and an advertisement selecting and delivering circuit configured to select an advertisement to deliver via the fixed-wing aircraft based on the advertisement being associated with the keyword profile.

Abstract: Operation of a data collection node in a network of data collection nodes includes acquiring data using at least one sensing device of the data collection node. The acquired data is stored in a memory of the data collection node and metadata is generated at the data collection node based on the acquired data. The metadata is analyzed at the data collection node and at least one of the metadata, the acquired data, and an alert is sent from the data collection node to another device on the network based on the analysis of the metadata.

Abstract: Data security access and management may require a server dedicated to monitoring document access requests and enforcing rules and policies to limit access to those who are not specifically identified as having access to the data. One example of operation may include selecting data to be protected via a user device, applying at least one policy to the data, storing the at least one policy in a data record identifying the data, modifying a data format of the data to create a modified data, and storing the modified data in memory.

Abstract: A method for emergency communication includes encoding a message for visual display including a message to field and a message from field. The visual display is revealed to a reading device in communication with a broadcast center, which stores the visual display. The messages are decoded and sorted from visual displays at the broadcast center. On an index channel, a time and channel number for when a message body of the message will be broadcast on a message channel is broadcasted. The message body is broadcasted on the message channel.

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: A method for securing transmission of digital data in a communication network comprising a central station or a terminal and at least one device monitored by the central station via the communication network. The at least one device is configured to produce and to transmit a digital data stream to the central station or terminal. The at least one device further comprises a secure non-volatile memory for storing at least device specific information. The at least one device forms a data block based on at least the device specific information stored in the secure memory. The data block thus formed may compose additional data to be merged with the digital data stream produced by the at least one device. A modified digital data stream results from this merging operation and is transmitted by the at least one device to the central station or terminal.