Abstract: The present invention relates generally to digital watermarking. One aspect of the disclosure includes a method comprising: obtaining data representing imagery; using one or more configured processors, analyzing a plurality of portions of the data to detect a redundantly embedded watermark signal, the analyzing producing detection statistics for each of the plurality of portions, the detection statistics comprising a payload signature, a rotation angle and a scale factor for each portion of the plurality of portions; accumulating payload signatures based on compatible rotation angles and scale factors, said accumulating yielding an accumulated payload signature; and decoding a plural-bit payload from the accumulated payload signature. Of course, many other aspects and disclosure are provided in this patent document.

Abstract: Roughly described, a system for user identification of a desired document. A database identifies a catalog of documents in an embedding space, in which the distance between documents corresponds to a measure of their dissimilarity. The system presents an initial collection of the documents toward the user from an initial candidate space which is part of the embedding space, then in response to iterative user input, refines the candidate space and subsequent collections of documents presented toward the user. The initial collection is determined using a weighted cost-based iterative addition to the initial collection of documents from the initial candidate space, trading off between two sub-objectives of representativeness and diversity.

Abstract: An image forming apparatus capable of suppressing occurrence of a problem in encryption processing. The image forming apparatus includes a plurality of encryption modules for executing encryption processing associated therewith, respectively, including a predetermined encryption module that executes a predetermined encryption processing when mode setting information is set to make the image forming apparatus compliant with a specific standard, for encryption processing. Encryption providers are registered, which are executed in a program environment different from that for the plurality of encryption modules, and are associated with the encryption modules, respectively. Encryption processing is executed via an encryption provider selected from the registered encryption providers by using an encryption module associated with the selected encryption provider.

Abstract: Systems and methods are disclosed for using patient-specific anatomical models and physiological parameters to predict viability of a target tissue or vessel to guide diagnosis or treatment of cardiovascular disease. One method includes: receiving a patient-specific vessel model and a patient-specific tissue model of a patient anatomy; receiving one or more patient-specific physiological parameters (e.g. blood flow, anatomical characteristics, etc.) for one or more physiological states; estimating a viability characteristic of the patient-specific tissue or vessel model (e.g., via a trained machine learning algorithm), using the patient-specific physiological parameters; and outputting the viability characteristic to an electronic storage medium or display.

Abstract: Presented herein are techniques for detecting cyber-attacks with sonification. A method includes obtaining, at a network security analysis device, a set of features extracted from one or more network traffic flows between a given host in a network and a domain. The set of features are converted to an acoustical waveform representative of the set of features. Audio patterns are detected in the acoustical waveform using acoustical fingerprints and a cyber-attack is identified in the network by identifying an anomalous sequence of the audio patterns.

Abstract: Matching an illumination of an embedded virtual object (VO) with current environment illumination conditions provides an enhanced immersive experience to a user. To match the VO and environment illuminations, illumination basis functions are determined based on preprocessing image data, captured as a first combination of intensities of direct illumination sources illuminates the environment. Each basis function corresponds to one of the direct illumination sources. During the capture of runtime image data, a second combination of intensities illuminates the environment. An illumination-weighting vector is determined based on the runtime image data. The determination of the weighting vector accounts for indirect illumination sources, such as surface reflections. The weighting vector encodes a superposition of the basis functions that corresponds to the second combination of intensities. The method illuminates the VO based on the weighting vector.

Abstract: Disclosed are a shadow removing method for an image and an application. The shadow removing method comprises a shadow-free feature analysis process, a shadow-free transformation parameter acquisition process and a shadow-free feature imaging process. The application is for road surface detection, a detection method comprising: firstly, using a shadow-free feature extraction method to select a region of interest and extract a feature; next, performing image filtering, segmentation and road surface region selection; lastly, performing image morphology filtering and hole filling. The method may remove shadows in color images, thus serving as a pre-processing step applied in various machine vision fields, and the application in road surface detection may solve the problem of detecting a road surface in dark shadows. The method has the advantages of having low complexity, high processing speed and high accuracy.

Abstract: Systems and processes are provided to identify a first camera model associated with a first video capture device of video capture devices within a system that aggregates video feeds from the video capture devices. A process includes receiving, by the video processing device, a first video sample from the first video capture device; sending, from the video processing device, a first command to the first video capture device; receiving, by the video processing device, a second video sample from the first video capture device subsequent to the sending of the first command; evaluating, by the video processing device, the first video sample and the second video sample in view of the first command to identify a first command response; and determining the first camera model based on the identified first command response.

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

Abstract: Steganography is leveraged to store additional data in the existing data on any given electronic storage. For example, a first request to store a first electronic file is received. Based on the first request, a determination is made as to whether one or more second electronic files meet one or more predefined criteria for being a carrier file for steganography. If the one or more second electronic files meet the one or more predefined criterion for being a carrier file, the first electronic file is electronically stored into the one or more second electronic files using steganography.

Abstract: Embodiments are disclosed for managing a distributed data center. The managing can include receiving content interaction history associated with a first social networking account of a social networking system at a content distribution system; maintaining a cache map of available cache appliances to implement a distributed cache store; selecting a content item to push to a residential cache appliance based on the content interaction history, wherein pushing the content item includes updating the cache map to associate a network address of the residential cache appliance with an identifier of the content item; and providing a content distribution service configured to redirect a content streaming request for the content item to the residential cache appliance when the content item is determined to be available in the distributed cache store according to the cache map.

Abstract: A system assesses the integrity of a digital image by detecting an edge in the digital image and defining a patch of pixels encompassing the edge. The system then generates data relating to intensity and gradient magnitude for pixels in the patch, analyzes the data relating to intensity and gradient magnitude, and determines that the digital image has been forged or the digital image has not been forged based on the analysis of the data relating to intensity and gradient magnitude.

Abstract: A method for rendering computer graphics based on saccade detection is provided. One embodiment of the method includes rendering a computer simulated scene for display to a user, detecting an onset of a saccade that causes saccadic masking in an eye movement of the user viewing the computer simulated scene, and reducing a computing resource used for rendering frames of the computer simulated scene during at least a portion of a duration of the saccade. Systems perform similar steps, and non-transitory computer readable storage mediums each storing one or more computer programs are also provided.

Abstract: Apparatus, systems, articles of manufacture, and methods to identify media using watermarks and signatures are disclosed. An example apparatus includes a watermark evaluator to determine a time and a category indicated by a watermark detected in the media and a window generator to determine a search window based on the time indicated by the watermark. The example apparatus also includes a signature comparator to compare a query signature having a time value within the search window with a subset of reference signatures associated with the category to identify the media, the query signature generated from the media, the subset set of reference signatures generated from reference media associated with the category.

Abstract: A device for forming a random set of playing cards comprises a card in-feed area, a shuffling system, a card removal area, and a card reading system located within the device, the card reading system employing a complementary metal-oxide semiconductor (CMOS) sensor and a hardware component, the hardware component capable of converting signals from the CMOS sensor into vector sets and comparing the vector sets to known vectors to determine rank and suit.

Abstract: A combination dental imaging system and dental practice management and charting system includes a dental imaging device, a dental practice management and charting system and a bi-directional communication interface which couples the dental imaging system to the dental practice management and charting system. The combination dental imaging system and dental practice management and charting system also includes a code generator, a translator and a correlator. The code generator generates an ADA CDT code. The translator translates the ADA CDT code into at least one property required by the dental imaging system in order to acquire dental images of a specific image type, format and quantity. The correlator correlates the dental images to be acquired by the dental imaging system to the ADA CDT code so that the dental images are acquired by having at least one property set.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for eye gesture recognition. In one aspect, a method includes obtaining an electrical signal that represents a measurement, by a photodetector, of an optical signal reflected from an eye and determining a depth map of the eye based on phase differences between the electrical signal generated by the photodetector and a reference signal. Further, the method includes determining gaze information that represents a gaze of the eye based on the depth map and providing output data representing the gaze information.

Abstract: A system and method for data access control using narrative authentication questions can include a server containing a database storing login credentials for an account associated with a user, and the login credentials can include a narrative authentication question and an authentication response associated with the narrative authentication question. A system and method for data access control using narrative authentication questions can include a user device in data communication with the server, and the user device can receive and transmit user input from the user.

Abstract: A method for interacting with a communications asset survey and mapping tool via a graphical user interface (GUI) includes capability to view and modify data types overlaid on a map interface displayed in the GUI. The data types include at least two of fixed asset information, mobile asset information, public safety agencies, communications unit personnel, radio channel sharing and usage, radio system coverage data, event-incident common operation picture (COP), and Federal Communications Commission (FCC) information. Display of the data types on the map interface can be filtered based on at least one of an asset-owning organization and selected geographical areas including states and counties. Reports can be generated about the data-type information, and the reports can include analytics information that is filterable by at least one of an objects summary, fixed assets, and mobile assets. Data-type information can be exported to a third-party software application and formatted into tables.

Abstract: The disclosure relates to a device for checking a fuel rod comprising a testing container having first and second chambers, a first checking device arranged in the testing container, wherein the testing container has at least one inlet opening, at least one outlet opening, and an insertion opening for inserting the fuel rod into the second chamber, and wherein a valve is arranged in a connecting channel connecting the first and the second chamber. A method is disclosed for checking a fuel rod in a water-filled basin of a submerged nuclear plant having such a device, wherein the fuel rod is inserted into the second chamber of the testing container through the insertion opening while the valve is closed, wherein a fluid is fed in via the at least one inlet opening, and wherein the valve is opened in order to check the fuel rod with the first checking device.

Abstract: Digital watermarking is adapted for the variable data printing. A reference signal serves as a proxy for optimizing the embedding a watermark in a host image to be printed. Using the reference signal, embedding parameters are generated, which are a function of constraints such as visual quality and robustness of the machine readable data. Adjustments needed to embed a unique payload in each printed piece are generated using the embedding parameters. These adjustments are stored in a manner that enables them to be efficiently obtained and applied within the RIP or press during operation of the press. Various other methods, system configurations and applications are also detailed.

Abstract: A method and system may display real-time aerial images of insured properties in a neighborhood captured from an unmanned aerial vehicle (UAV), a manned aerial vehicle (MAV), or from a satellite device. For example, aerial images of a neighborhood having insured properties, that have been affected by a catastrophe, may be received from the UAV, MAV, or the satellite device. Aerial images of each insured property may be analyzed to determine a damage severity level and assign a damage severity level indicator to the damage severity level. As a result, the property owner may receive a notification that a catastrophe has impacted her neighborhood. Moreover, the real-time images, with damage severity level indicators overlaying the property, may be transmitted via a web page to the property owner's web-enabled device after the property owner logs in to a customer account.

Abstract: There is provided an information processing apparatus that includes an image acquisition unit that acquires a captured image, a key information acquisition unit that acquires key information for extracting a light temporal modulation component included in the captured image, and a modulation component extraction unit that extracts the modulation component from the captured image based on the key information.

Abstract: A method and system to perform dynamic demosaicing for a camera in a vehicle involve an array of image sensors of the camera to obtain light intensity values. Each image sensor of the array of image sensors represents a pixel. An array of filters of the camera overlays the array of image sensors and restricts a wavelength range for which the one image sensor of the array of image sensors obtains the light intensity value. The array of filters includes at least two different types of filters corresponding with two different wavelength ranges. A processor estimates a current state associated with the vehicle and selects a demosaicing algorithm based on the current state such that, for each pixel, the demosaicing algorithm facilitates an estimate of the light intensity value at a different wavelength range than the wavelength range for which the corresponding image sensor obtained the light intensity value.

Abstract: A method and system may determine the condition of insured properties in a neighborhood using aerial images captured from an unmanned aerial vehicle (UAV) or from a satellite device. The neighborhood may be selected by identifying a neighborhood that includes properties which are insured by a particular insurance provider. Aerial images of the entire neighborhood may then be captured and received from the UAV or the satellite device. For each insured property in the neighborhood, a condition and level of risk may be automatically determined based on the received aerial images. Then a level of risk indicator may be assigned to the insured property based on the determined level of risk. The aerial images of the insured property may be displayed on a user interface with indications of the level of risk overlaying the aerial images.

Abstract: A manually assisted robot inventory monitoring method provides for detecting and reading shelf labels using an autonomous robot. Bounding boxes around possible products in a panoramic image can be taken with at least one camera associated with the autonomous robot. Products in the bounding boxes are automatically identified, with those that are not being later manually identified.

Abstract: An inspection region 201 of a sample 2 is scanned with light, an optical image formed of the scanning light is acquired according to progression of scanning with the light, a reference image as a reference for the acquired optical image is created according to progression of acquisition of the optical image, the acquired optical image is compared to the reference image for the optical image to detect first defects in the pattern according to progression of the acquisition of the optical image, second defects caused by an erroneous operation of an inspection system 1 are detected based on a distribution of differences between the acquired optical image and the reference image during progression of detection of the first defects, and an inspection is stopped when the second defects are detected.

Abstract: This disclosure describes techniques that relate generally to the collection, processing, storage, and graphical representation of medical imaging data associated with patient care. Medical imaging data may be processed using object recognition algorithms to help determined pertinent medical characteristics. Further, a graphical fusion application may generate a graphical representation of medical data that is based at least in part on a combination of medical imaging data and corresponding interpretation data. The graphical representation may overlay a schematic diagram of a relevant organ system, so as to provide a medical practitioner with a visual, more specifically graphical, indication of the medical imaging data. Interpretation data of pertinent medical characteristics may be generated by an automated analysis of the medical imaging data.

Abstract: An image processing device includes an image acquiring unit, a color aid information acquiring unit, and a restoring unit. The image acquiring unit acquires, as a processing target image, an image with modified color information or an image with color information degraded from an original image. The color aid information acquiring unit acquires color aid information to be referred to at the time of restoring the color information of the processing target image. The restoring unit restores the color information of the processing target image on the basis of the color aid information.

Abstract: In one embodiment there is a computer numerical control machine implementing a method for measuring and digitizing a cylinder head combustion chamber using a touch probe, wherein the cylinder head combustion chamber includes an intake valve and an exhaust valve. The method includes receiving combustion chamber characteristics of the cylinder head combustion chamber. The method includes receiving probe measurement variables that describe how the touch probe measures the cylinder head combustion chamber. The method includes generating probe measurement lines for each portion of the cylinder head combustion chamber using the combustion chamber characteristics and the probe measurement variables. The method includes measuring, using the touch probe, probe measurement planes for each portion of the cylinder head combustion chamber using the probe measurement lines to generate probe measurements.

Abstract: An image processing apparatus stores, as instance images, a plurality of face images obtained by photographing respective faces of a plurality of persons on a plurality of photographing conditions, while associating the persons with the photographing conditions for each part; obtains the photographing condition of the input face image; approximates the respective parts of the input face images, by a combination of the instance images of the plurality of persons stored in association with the parts and the obtained photographing conditions; decides, for each part of the input face image, a combination corresponding to the combination in the approximation from the instance images of the plurality of persons stored in association with the part and a predetermined photographing condition; and generates an image obtained by photographing the input face image on the predetermined photographing condition, by synthesizing the obtained combination on the whole input face image.

Abstract: A computer, which is configured to extract an attribute being a character string indicating a feature of a paper-based document, the computer stores template information dictionary information. The computer is configured to: execute character recognition processing on image data on the paper-based document; extract an attribute corresponding to each of the at least one type of attribute, which is defined in each of the plurality of templates, through use of a result of the character recognition processing and the plurality of templates; calculate a score regarding the extracted attribute for each of the plurality of templates; select one of the plurality of templates that has the highest extraction accuracy of the attribute based on the score; and generate output information through use of the selected template.

Abstract: In one embodiment of a method, system, and apparatus described herein, an encoded video is received. At least one set of areas of a spatially distinct region of a video frame to be modified is selected. An entropy layer from the spatially distinct region of a video frame. A state of the removed entropy layer and the location of a first area of the set of areas of the spatially distinct region of the video frame is stored. One area of the set of areas is decoded, the decoding occurring recursively until all areas of the set of areas of the spatially distinct region of the video frame for predicting and decoding the one area are decoded. A modification of the decoded one area is performed. The modified decoded one area is re-encoded according to a re-encoding condition. The stored state of the entropy layer is retrieved, and the entropy layer is re-applied at the first area to the spatially distinct region of the video frame which comprises the set of areas.

Abstract: Systems and methods are disclosed for manipulating image annotations. One method includes receiving an image of an individual's anatomy; automatically determining, using a processor, one or more annotations for anatomical features identified in the image of the individual's anatomy; determining a dependency or hierarchy between at least two of the one or more annotations for anatomical features identified in the image of the individual's anatomy; and generating, based on the dependency or hierarchy, a workflow prompting a user to manipulate the one or more annotations for anatomical features identified in the image of the individual's anatomy.

Abstract: An optical numerical computation device relates light from a plurality of light sources to calculate an arithmetic solution. The optical numerical computation device includes input circuitry, pre-calculation circuitry, calculation circuitry, a light collection cavity, and a plurality of light computation components. The pre-calculation circuitry and calculation circuitry cause light sources to emit light representing the values of input operands, which is subsequently related within the light collection cavity. Sensors then generate resultant outputs at values indicative of the sensed light value. The respective wavelength of light emitted from or sensed by each light computation component may be associated with an operand arithmetic sign.

Abstract: An apparatus, method, program product, and system are disclosed for evicting pages from memory using a neural network. A state module determines state information related to evicting pages from memory. The state information may be determined by a dedicated hardware snooping device that snoops a system bus for the state information. A learning module determines an identifier for a page in memory to be evicted using a neural network. The neural network may perform machine learning operations on the state information to identify the page in memory to be evicted. An eviction module locates the identified page in memory using the identifier determined by the neural network and evicts the identified page from memory.

Abstract: A method, non-transitory computer-readable storage medium, and reception apparatus for extracting metadata, and an information providing apparatus for providing the metadata. The method for extracting metadata includes processing, by circuitry of the reception apparatus, content that includes the metadata embedded therein. The metadata is embedded as a watermark in a first portion of a video frame of the content. The circuitry determines symbol values of the watermark from the video frame based on luminance values in pixels of the first portion of the video frame of the content to extract the metadata. At least one of the luminance values is less than 16.

Abstract: A method at a server for container location verification within a container yard, the method including requesting image data from at least one image sensor apparatus affixed to a container within the container yard; receiving the image data; and processing the image data to identify a location of a target container.

Abstract: Methods and systems for detecting objects from aerial imagery are disclosed. According to certain embodiments, the method may include obtaining a Digital Surface Model (DSM) image of an area. The method may also include obtaining a DSM image of one or more target objects. The method may further include detecting the target object in the area based on the DSM images of the area and the one or more target objects. The method may further include recognizing the detected target objects by artificial intelligence. The method may further include acquiring the positions of the recognized target objects. The method may further include calculating the number of the recognized target objects.

Abstract: A system processes data signals consisting of sums of independent signal terms, zero or more of which signal terms may already have been identified, in order to generate one or more additional terms. Deflated versions of the data signals are created by subtracting from the data signals any previously identified signal terms. Additional independent signal terms are computed using a set of reference signals organized into mutually independent partioning support sets. The images of each support set are computed on the data signals. Computed images on a data signal that are non-zero are identified as additional independent signal terms of that data signal.

Abstract: Embodiments described herein may provide a method for generating a three-dimensional vector model of the interior of a structure. Methods may include: receiving sensor data indicative of a trajectory; receiving sensor data defining structural surfaces within a structure; generating a three-dimensional point cloud from the sensor data defining structural surfaces within the structure; segmenting the three-dimensional point cloud into two or more segments based, at least in part, on the sensor data indicative of trajectory; generating a three-dimensional surface model of an interior of the structure based on the segmented three-dimensional point cloud with semantic recognition and labelling; and providing the three-dimensional surface model of an interior of the structure to an advanced driver assistance system to facilitate autonomous vehicle parking.

Abstract: A system for aerial image detection and classification is provided herein. The system comprising an aerial image database storing one or more aerial images electronically received from one or more image providers, and an object detection pre-processing engine in electronic communication with the aerial image database, the object detection pre-processing engine detecting and classifying objects using a disparity mapping generation sub-process to automatically process the one or more aerial images to generate a disparity map providing elevation information, a segmentation sub-process to automatically apply a pre-defined elevation threshold to the disparity map, the pre-defined elevation threshold adjustable by a user, and a classification sub-process to automatically detect and classify objects in the one or more stereoscopic pairs of aerial images by applying one or more automated detectors based on classification parameters and the pre-defined elevation threshold.

Abstract: A method for controlling the orientation of a single-axis solar tracker orientable about an axis of rotation, including observing the evolution over time of the cloud coverage above the solar tracker; determining the evolution over time of an optimum inclination angle of the solar tracker substantially corresponding to a maximum of solar radiation on the solar tracker, depending on the observed cloud coverage; predicting the future evolution of the cloud coverage based on the observed prior evolution of the cloud coverage; calculating the future evolution of the optimum inclination angle according to the prediction of the future evolution of the cloud coverage; servo-controlling the orientation of the solar tracker according to the prior evolution of the optimum inclination angle and depending on the future evolution of the optimum inclination angle.

Abstract: In a method of using structured communications in an observation platform with cloud computing, a signal from a first communication device is received by a second communication device associated with a first computer system. The second computer system forwards the signal from the first computer system to a second computer system, wherein the second computer system is physically remote from the first computer system and connected with the first computer system via a network. The second computer system derives context information for the signal, the deriving based on a plurality of factors derived from an analysis of the signal, wherein the plurality of factors comprises a speech to text analysis of the signal, and wherein the second computer system is cloud based. The second computer system determines at least one destination for the signal based on the plurality of factors for the context information.

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

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

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

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

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

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