Abstract: A method and a system for producing a story video are provided. A method for producing a story video, according to one embodiment, can produce a specific story video by determining a theme of a story that is suitable for collected videos and selecting and arranging an appropriate video for each frame of a template associated with the theme.

Abstract: The inventive subject matter is directed to an artificial intelligence intra-operative surgical guidance system and method of use. The artificial intelligence intra-operative surgical guidance system is made of a computer executing one or more automated artificial intelligence models trained on data layer datasets collections to calculate surgical decision risks, and provide intra-operative surgical guidance; and a display configured to provide visual guidance to a user.

Abstract: A method for analysis of complex spatio-temporal data within a dynamic system that includes spatial positions and fields, at least a portion of which are interacting, includes determining values of mean field at every spatial position, determining spatio-temporal eigenmodes in spatial-frequency space assuming interacting fields, and determining spatial and temporal interactions between the eigenmodes. The resulting display indicates space/time localization patterns that are indicative of connectivity within the dynamic system.

Abstract: Disclosed is a multi-mode communication notification system and method for improving communication between an inmate and a third party by enabling a third party to send a web-initiated contact request for a specific inmate and further allowing the inmate to check his/her contact requests or be automatically notified of contact requests. Additionally, the system electronically notifies the third party when the specific inmate has been notified of the contact request. Further, the system notifies the third party if they have missed a call from the specific inmate.

Abstract: The present invention relates to the technical field of identification on adulterated meat, and in particular, to a method for identifying raw meat and high-quality fake meat based on a gradual linear array change of a component. The present invention spatially characterizes changing rules of featured components in the meat with the utilization of sensitivities of the visible/near-infrared spectral signals to changes of the components in the meat and the advantage that spectral scanning can acquire optical signals of the samples spatially and consecutively, further constructs the identification model according to differences in components and spectra of a region of interest in the hyperspectral image by taking a derivative for characterizing rates of change of the featured components.

Abstract: An apparatus, designed and configured for optically inspecting articles of the fish and meat processing industry, includes at least one imaging system which is arranged so as to be encapsulated on all sides in a housing and is configured for optically scanning the articles. The housing has a transparent viewing window and a protective element, forming a light-transmissive channel, and is releasably arranged on the outside of the housing to protect the viewing window from contamination. In addition, an arrangement for processing and inspecting the opened abdominal cavity of gutted fish, includes a conveying device configured for conveying the fish along a processing line in the longitudinal direction, which is characterised in that the arrangement comprises at least one apparatus configured for optically inspecting the abdominal cavity.

Abstract: The invention relates to a method for increasing the safety of driving functions in a partially automated or fully autonomous vehicle, including the following steps: capturing (S1) an environment image or a sequence of environment images by means of at least one surroundings detection sensor (2), detecting (S2) driving lane boundaries in the environment image or the sequence of environment images, determining (S3) a driving lane course based on the detected driving lane boundaries; retrieving (S4) a further driving lane course from a data source; checking the plausibility (S5) of the determined driving lane course by verifying a matching of the driving lane courses; identifying (S6) a degree of matching; setting (S7) a confidence value based on the degree of matching; deciding (S8) whether the determined driving lane course is provided to a driving function.

Abstract: A stereo matching method includes obtaining a first feature map associated with a first view image and a second feature map associated with a second view image using a neural network model-based feature extractor, determining respective matching costs between a reference pixel of the first view image and candidate pixels of the second view image using the first feature map and the second feature map, and determining a pixel corresponding to the reference pixel among the candidate pixels based on the determined matching costs.

Abstract: Systems and methods are described for display of a depth image (depth plus texture) using multiple focal planes. In one embodiment, a depth image (which may be a frame of a depth video, consisting of a video plus depth sequence) is mapped to a first set of image planes. The depth image (or a subsequent frame of the depth video) is mapped to a second set of image planes. Each image plane in the first and second set has a specified depth, and the first and second set differ in at least one depth. Each of the image planes is displayed in the first set at the respective depth of that image plane, and, subsequently, each of the image planes in the second set is displayed at its respective depth. Display of the first and second sets may be cyclically alternated at rate sufficiently high to avoid perceptible flicker.

Abstract: A system for detecting three-way calls in a monitored telephone conversation includes a speech recognition processor that transcribes the monitored telephone conversation and associates characteristics of the monitored telephone conversation with a transcript thereof, a database to store the transcript and the characteristics associated therewith, and a three-way Call detection processor to analyze the characteristics of the conversation and to detect therefrom the addition of one or more parties to the conversation. The system preferably includes at least one domain-specific language model that the speech recognition processor utilizes to transcribe the conversation. The system may operate in real-time or on previously recorded conversations. A query and retrieval system may be used to retrieve and review call records from the database.

Abstract: A finger vein comparison method, a computer equipment, and a storage medium are provided. The finger vein comparison method includes: two finger vein images to be compared are obtained (S10); image channel fusion is performed on the two finger vein images to be compared to obtain a two-channel target finger vein image to be compared (S20); the target finger vein image to be compared is input into a feature extractor, and a feature vector of the target finger vein image to be compared is extracted by the feature extractor (S30); the feature vector of the target finger vein image to be compared is input into a dichotomy classifier to obtain a dichotomy result (S40); and it is determined according to the dichotomy result whether the two finger vein images to be compared come from the same finger (S50).

Abstract: The inventive subject matter is directed to a computing platform configured to execute one or more automated artificial intelligence models, wherein the one or more automated artificial intelligence models includes a neural network model, wherein the one or more automated artificial intelligence models are trained on a plurality of radiographic images from a data layer to detect a plurality of anatomical structures or a plurality of hardware, wherein at least one anatomical structure is a pelvic teardrop and a symphysis pubis joint; detecting at a plurality of anatomical structures in a radiographic image of a subject, wherein the plurality of anatomical structures are detected by the computing platform by the step of classifying the radiographic image with reference to a subject good side radiographic image; and constructing a graphical representation of data, wherein the graphical representation is a subject specific functional pelvis grid; the subject specific functional pelvis grid generated based upon th

Abstract: Device for detecting partial matches between a first time varying signal and a second time varying signal, the device including: a fingerprint extraction stage; and a matching stage, wherein each feature information of a first fingerprint is pairwise compared with each feature information of a second fingerprint; wherein the matching stage includes a similarity calculator stage; wherein the matching stage includes a matrix calculator stage configured for arranging similarity values in a similarity matrix having dimensions of La×Lb, wherein an entry in the i-th row and j-th column of the similarity matrix is the similarity value calculated from the pair of the i-th feature information of the first fingerprint and of the j-th feature information of the second fingerprint; wherein the matching stage includes a detection stage configured for detecting the partial matches by evaluating a plurality of diagonals of the similarity matrix.

Abstract: The technology disclosed also initializes a new hand that enters the field of view of a gesture recognition system using a parallax detection module. The parallax detection module determines candidate regions of interest (ROI) for a given input hand image and computes depth, rotation and position information for the candidate ROI. Then, for each of the candidate ROI, an ImagePatch, which includes the hand, is extracted from the original input hand image to minimize processing of low-information pixels. Further, a hand classifier neural network is used to determine which ImagePatch most resembles a hand. For the qualified, most-hand like ImagePatch, a 3D virtual hand is initialized with depth, rotation and position matching that of the qualified ImagePatch.

Abstract: A method, computer system, and a computer program product for labeling optimization is provided. The present invention may include receiving a plurality of labeled historical transaction timeline image clusters based on a plurality of historical transaction timeline images clustered using unsupervised machine learning. The present invention may further include training an image recognition model using supervised machine learning based on the received plurality of labeled historical transaction timeline image clusters. The present invention may also include receiving, by the trained image recognition model, a current transaction timeline image. The present invention may further include assigning a corresponding label to the received current transaction timeline image based on matching the received current transaction timeline image to one of the received plurality of labeled historical transaction timeline image clusters.

Abstract: Example embodiments described herein therefore relate to an object-model based event detection system that comprises a plurality of sensor devices, to perform operations that include: generating sensor data at the plurality of sensor devices; accessing the sensor data generated by the plurality of sensor devices; detecting an event, or precursor to an event, based on the sensor data, wherein the detected event corresponds to an event category; accessing an object model associated with the event type in response to detecting the event, wherein the object model defines a procedure to be applied by the event detection system to the sensor data; and streaming at least a portion of a plurality of data streams generated by the plurality of sensor devices to a server system based on the procedure, wherein the server system may perform further analysis or visualization based on the portion of the plurality of data streams.

Abstract: Methods identifying inbound call traffic anomalies in a telecommunications system are provided. The method includes receiving expected values for data related to the telecommunications system, the data being associated with call detail records; for each metric in the received data, determining if an observed value is outside defined upper and lower thresholds; selecting a set of residuals based on an aggregation of data in the call detail records if the observed value is outside the defined upper and lower thresholds; computing an anomaly score based the selected set of residuals; determining if multiple, serial anomalous alerting windows are needed to create an alert if the computed anomaly score is greater than a minimum anomaly score; and declaring that the data supports an anomaly in the inbound call traffic if it is determined that multiple, serial anomalous alerting windows are not needed to create an alert.

Abstract: The invention relates to a blister strip inspection device (10) for sensing blister segments (12) of a blister strip (14), having an image acquisition device (16) which is arranged to capture images of the blister strip (14), wherein the image acquisition device (16) comprises a digital camera (18.1), an advance sensing device (24) for continuously sensing an advance (x) of the blister strip (14), and an evaluating unit (40) which is connected to the digital camera (18.1) and to the advance sensing device (24), and which is configured to automatically perform a method having the following steps: (v) sensing the advance of the blister strip (14), (vi) determining a target time (ti), at least also on the basis of the advance, at which a blister segment (12.i) is completely in the field of view (20.1) of the digital camera, and (vii) acquiring an image with the digital camera (18.1) at said target time (ti), wherein the digital camera (18.1) is a video camera which has a field of view (20.1, 20.

Abstract: An image processing system and an image processing method for localising recognised characters in an image. An estimation unit is configured to estimate a first location of a recognised character that has been obtained by performing character recognition of the image. A determination unit is configured to determine second locations of a plurality of connected components in the image. A comparison unit is configured to compare the first location and the second locations, to identify a connected component associated with the recognised character. An association unit is configured to associate the recognised character, the identified connected component, and the second location of the identified connected component.

Abstract: Systems and methods are disclosed providing user emotion information to a customer service provider. For example, a method may include: transmitting, to a user device over a communication network, application data enabling the user device to perform a functionality usable by a user of the user device, the user device including a camera; receiving, from the user device over the communication network, user feedback data indicative of a characteristic of image data of the user obtained by the camera during usage of the functionality by the user; inputting the value of the facial expression parameter into a machine learning model to determine an assessment of an emotional state of the user during the usage of the functionality; and providing the assessment to the customer service provider.