Abstract: A method, computer program product and system for message tone evaluation. A message or a group of messages are retrieved between a sender entity and a recipient entity. Text content for the message or group of messages is extracted and the analysis of the tone of the text content is obtained. A graph is referenced in which nodes represent entities and edges between the nodes have tone weightings for a tone for a communication relationship between the entities. The graph is updated with a tone weighting for the retrieved message or group of messages by setting or updating an edge tone weighting between the nodes for the sender entity and the recipient entity. The graph is analyzed to obtain analysis of one or more entities and the tone weightings of their communication relationships.

Abstract: A method, computer program product and system for message tone evaluation. A message or a group of messages are retrieved between a sender entity and a recipient entity. Text content for the message or group of messages is extracted and the analysis of the tone of the text content is obtained. A graph is referenced in which nodes represent entities and edges between the nodes have tone weightings for a tone for a communication relationship between the entities. The graph is updated with a tone weighting for the retrieved message or group of messages by setting or updating an edge tone weighting between the nodes for the sender entity and the recipient entity. The graph is analyzed to obtain analysis of one or more entities and the tone weightings of their communication relationships.

Abstract: A method for processing speech signals prior to encoding a digital signal comprising audio data includes selecting frequency domain coding or time domain coding based on a coding bit rate to be used for coding the digital signal and a short pitch lag detection of the digital signal.

Abstract: In the present invention, a method for processing an image on the basis of an intra prediction mode and an apparatus therefor are disclosed. Particularly, the method for processing an image on the basis of an intra prediction mode may comprise the steps of: partitioning a block to be processed, on the basis of an intra prediction mode of the block to be processed; and performing intra prediction for the split block to be processed, wherein the direction in which the block to be processed is split is perpendicular to the prediction direction of the intra prediction mode of the block to be processed.

Abstract: A computer system for optimizing a coating formulation through a user interface processes spectrometric data through a probabilistic colorant analysis. The probabilistic colorant analysis generates a set of colorants that are each associated with a calculated probability that the associated colorant is present within a target coating. The system identifies a proposed group of colorants from within the set of colorants that are associated with the highest calculated probabilities of being present within the target coating. The system displays on a graphical user interface an indication of each colorant within the proposed group of colorants. The system receives input through one or more selectable interface elements that define a user-defined group of colorants selected from the proposed group of colorants. The system generates a coating formulation, wherein the coating formulation is generated from the user-defined group of colorants.

Abstract: A medical picture archive integration system includes a de-identification system that includes a first memory designated for protected health information (PHI), operable to perform a de-identification function is on a DICOM image, received from a medical picture archive system, to identify at least one patient identifier and generate a de-identified medical scan that does not include the at least one patient identifier. The medical picture archive integration system further includes a de-identified image storage system that stores the de-identified medical scan in a second memory that is separate from the first memory, and an annotating system, operable to utilize model parameters received from a central server to perform an inference function on the de-identified medical scan, retrieved from the second memory to generate annotation data for transmission to the medical picture archive system as an annotated DICOM file.

Abstract: The analysis apparatus (2000) includes a co-appearance event extraction unit (2020) and a frequent event detection unit (2040). The co-appearance event extraction unit (2020) extracts co-appearance events of two or more persons from each of a plurality of sub video frame sequences. The sub video frame sequence is included in a video frame sequence. The analysis apparatus (2000) may obtain the plurality of sub video frame sequences from one or more of the video frame sequences. The one or more of the video frame sequences may be generated by one or more of surveillance cameras. Each of the sub video frame sequences has a predetermined time length. The frequent event detection unit (2040) detects co-appearance events of the same persons occurring at a frequency higher than or equal to a pre-determined frequency threshold.

Abstract: In an example, a digital image comprising a representation of multiple physical objects is received at a client computer. The digital image is copied into a temporary canvas. The digital image is then analyzed to identify a plurality of potential object areas, each of the potential object areas having pixels with colors similar to the other pixels within the potential object area. A minimum bounding region for each of the identified potential object areas is identified, the minimum bounding region being a smallest region of a particular shape that bounds the corresponding potential object area. The pixels within a selected minimum bounding region are cropped from the digital image. The pixels within the selected minimum bounding region are then sent to an object recognition service on a server to identify an object represented by the pixels within the selected minimum bounding region.

Abstract: Methods and systems are presented for kinematic tracking and assessment of upper extremity function of a patient. A sequence of 2D images is captured by one or more cameras of a patient performing an upper extremity function assessment tasks. The captured images are processed to separately track body movements in 3D space, hand movements, and object movements. The hand movements are tracked by adjusting a position, orientation, and finger positions of a three-dimensional virtual model of a hand to match the hand in each 2D image. Based on the tracked movement data, the system is able to identify specific aspects of upper extremity function that exhibit impairment instead of providing only a generalized indication of upper extremity impairment.

Abstract: In an inspection method and apparatus, when thermal image data with respect to cap sealing of a particular container is analyzed and a low confidence score is obtained, products are classified into a user check product by a rejection-process of separating the products, without determining the products to be good products or not good products.

Abstract: A personal information assistant computing system may include a user computing device having a processor and a non-transitory memory device storing instructions. The personal information assistant may receive a user accessible input as a natural language communication from the user, which may be analyzed by a personal information assistant to determine a task to be performed by the virtual information assistant. The personal information assistant may be personalized to the user using encrypted user information. The personal information assistant communicates with a remote computing system in performance of a computer-assisted task, wherein the first personal information assistant interacts as a proxy for the user in response to at least one response received from the remote computing system. The personal information assistant may communicate the results of the task to the user via a user information screen and/or an audio device.

Abstract: A method is provided. The method includes receiving at least part of an input image file. The at least part of the input image file includes input image data representing an image and reference tone mapping strength data representing a reference tone mapping strength parameter for deriving an input value representing an amount of spatially-variant tone mapping. The method further includes inputting the input image data and the input value to a tone mapping operation. The tone mapping operation is applied to the input image data to generate output image data representing an output image with the amount of spatially-variant tone mapping applied. A computing device is also provided.

Abstract: A system for determining and tracking camera pose includes a dynamic vision sensor (DVS) configured to generate a current DVS image, an inertial measurement unit (IMU) configured to generate inertial data, and a memory. The memory is configured to store a 3-dimensional (3D) map of a known 3D environment. The system may also include a processor coupled to the memory. The processor is configured to initiate operations including determining a current camera pose for the DVS based on the current DVS image, the inertial data, the 3D map, and a prior camera pose.

Abstract: A disclosed illumination apparatus includes first and second light sources that generate light for an illumination area to be illuminated; a first substrate on which the first and second light sources are mounted; and a second substrate that is disposed in an illumination direction of the light of the first and second light sources with respect to the first substrate, the second substrate having first and second diffraction grating elements formed integrally therewith, the first diffraction grating element being provided for the first light source, and the second diffraction grating element being provided for the second light source.

Abstract: Techniques (300, 400, 500) and apparatuses (100, 200, 700) for recognizing accented speech are described. In some embodiments, an accent module recognizes accented speech using an accent library based on device data, uses different speech recognition correction levels based on an application field into which recognized words are set to be provided, or updates an accent library based on corrections made to incorrectly recognized speech.

Abstract: System, methods, and other embodiments described herein relate to conditionally generating custom images by sampling latent space of a generator. In one embodiment, a method includes, in response to receiving a request to generate a custom image, generating a component instruction by translating a description about requested characteristics for the object instance into a vector that identifies a portion of a latent space within a respective generator. The method includes computing the object instance by controlling the respective one of the generators according to the component instruction to produce the object instance. The respective one of the generators being configured to generate objects within a semantic object class. The method includes generating the custom image from at least the object instance to produce the custom image from the description as a photorealistic image approximating a real image corresponding to the description.

Abstract: An information processing apparatus that detects a voice command via a microphone in order to activate the device and execute certain applications. The apparatus comprises a digital signal processor (DSP) and a host controller which are responsible for processing the voice commands. The DSP recognizes and processes voice commands intermittently while the host processor is in a sleep state, thereby reducing the overall power consumption of the apparatus. Further, when the DSP is configured to recognize voice commands intended only to activate the device, a memory having a sufficiently lower storage capacity suffices.

Abstract: An image processing device includes: a feature detection image generating unit that generates multiple feature detection images corresponding to multiple classes by applying a convolutional neural network having the classes learned previously to an input image; a post-processing unit that generates a measurement result by performing a post-process on at least some feature detection images of the multiple feature detection images on the basis of a setting parameter; and a user interface unit that receives an input of the setting parameter while presenting a user at least one of at least some of the feature detection images which are generated by the feature detection image generating unit and the measurement result which is generated by causing the post-processing unit to perform the post-process using at least some of the feature detection images which are generated by the feature detection image generating unit.

Abstract: A method of recognizing a biological feature is provided. In an example, the method includes: first biological feature data is obtained; a first recognition operation is performed according to the first biological feature data and biological feature template data to obtain a first recognition result; when the first recognition result indicates a match failure, second biological feature data is obtained; and a re-recognition operation is performed according to the second biological feature data and the biological feature template data to obtain a second recognition result. The second biological feature data and the first biological feature data are collected by a same biological feature collector at different moments in a same biological feature recognition process.

Abstract: The present application relates to a method and a device for parsing a table in a document image. The method comprises the following steps: inputting a document image to be parsed which includes one or more table areas into the electronic device; detecting, by the electronic device, a table area in the document image by using a pre-trained table detection model; detecting, by the electronic device, internal text blocks included in the table area by using a pre-trained text detection model; determining, by the electronic device, a space structure of the table; and performing text recognition on a text block in each cell according to the space structure of the table, so as to obtain editable structured data by parsing. The method and the device of the present application can be applied to various tables such as line-including tables or line-excluding tables or black-and-white tables.