Abstract: A method, non-transitory computer readable medium and apparatus for transmitting an assessment of facial skin health of a customer are disclosed. For example, the method includes receiving an image of a customer from a mobile endpoint device of the customer, analyzing one or more parameters of a facial skin of the customer in the image of the customer, determining the assessment of facial skin health of the customer based on the one or more parameters of the facial skin that are analyzed and transmitting the assessment of facial skin health to the mobile endpoint device of the customer to cause the mobile endpoint device to automatically display the assessment of facial skin health.

Abstract: The methods and systems described herein relate to a method of processing and storing images. The method is executed by a server and comprises: acquiring, by the server, a first image and a second image; determining, by the server, a first mapping information between the first image and the second image; generating, by the server, a reference image based on the first image and the second image, the reference image comprising a set of synthetic pixels; computing, by the server, a first parameter and a second parameter, the first parameter being at least partially indicative of a visual dissimilarity between the first pixels of the first image and the respective synthetic pixels and the second parameter being at least partially indicative of the visual dissimilarity between the second pixels of the second image and the respective synthetic pixels.

Abstract: Systems and methods configured to generate virtual gimbal information for range images produced from 3D depth scans are described. In operation according to embodiments, known and advantageous spatial geometries of features of a scanned volume are exploited to generate virtual gimbal information for a pose. The virtual gimbal information of embodiments may be used to align a range image of the pose with one or more other range images for the scanned volume, such as for combining the range images for use in indoor mapping, gesture recognition, object scanning, etc. Implementations of range image registration using virtual gimbal information provide a realtime one shot direct pose estimator by detecting and estimating the normal vectors for surfaces of features between successive scans which effectively imparts a coordinate system for each scan with an orthogonal set of gimbal axes and defines the relative camera attitude.

Abstract: An electronic message comprising text generated by a first user can be identified and at least a second user can be identified as a recipient. At least one n-gram contained in the text of the electronic message can be identified by performing natural language processing on the text. A first user profile of the first user and a second user profile of the second user can be accessed. Based on the first user profile and the second user profile, at least one shared user context of the first user and the second user relating to the at least one n-gram can be determined. The at least one shared user context of the first user and the second user relating to the at least one n-gram can be presented to at least the second user.

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: A dynamic path estimation method reconstructs a program timeline in real time from an incoming stream of audio or visual content in which watermark payloads are redundantly encoded. A receiving device buffers a portion of the incoming signal, executes watermark detection on the contents of the buffer, presents detection results, and then advances the incoming signal in the buffer. Each detection result corresponds to different possible detection paths, as the detector does not reveal the precise position of the watermark payload. The dynamic path estimation method operates on the detection results to determine a global cost function for each possible detection path. As the incoming audio advances through a detection buffer, the method updates cost values for the possible paths, determines a global cost for the paths, and outputs a timeline based on the path of the lowest global cost.

Abstract: Methods and systems for data segmentation include determining initial segmentation scores for each unit of an input data set using a neural network, with each unit being assigned an initial segmentation score for each of multiple segmentation classes. Final segmentation scores are determined for each unit of the input data set by enforcing a smoothness criterion. The input data set is segmented in accordance with the final segmentation scores.

Abstract: The innovative systems and methods described herein use a high-resolution imaging microscope for capturing images of marine microorganisms and particles in situ in an aquatic environment. Using darkfield illumination, high-resolution images may be obtained, capturing features of the microorganism or particle as small as 10 ?m in remarkable clarity. Utilizing an open flow-through approach in sample imaging, the delicate structures of the plankton and particles may be imaged completely intact without damage and in their natural orientation. The images can be classified at high accuracy based on physiological and morphological information captured in the image including features as fine as 1 ?m. The disclosed classification method utilizes adaptable training sets of taxonomic categories and a novel method of discerning in-focus targets, providing a highly accurate identification system.

Abstract: The present disclosure provides a method and apparatus for inputting information. A specific implementation mode of the method comprises: receiving user-inputted voice information, the voice information being associated with content to be inputted in an input area of an application; considering emojis associated with the voice information as a candidate result, the emojis comprising: emojis historically inputted in the input area of the application by multiple users inputting voice information semantically associated with the voice information, with a frequency higher than a frequency threshold; inputting an emoji selected by the user from the candidate result, in the input area of the application. The present disclosure implements the following: when the user performs voice input, it is feasible to accurately understand the intention of the user's voice input, intelligently recommend a matched emoji according to content and emotion of the speech, assist the user in performing quick input of the emoji.

Abstract: Disclosed is a method and system for detecting an interaction event between two or more objects in a surveillance area, via the application of heuristics to trajectory representations of the static or dynamic movements associated with the objects. According to an exemplary embodiment, trajectory interaction features (TIFs) are extracted from the trajectory representations and heuristics are applied to the TIFs to determine if an interaction event has occurred, such as a potential illegal drug deal involving at least one pedestrian and at least one vehicle.

Abstract: A three-dimensional (3D) image system recognition system includes a flood light source, a structured light source, and an imaging sensor. The flood light source and the structured light source emit lights in the substantially same wavelength range. The imaging sensor collects one or more images generated from a reflection of the flood light source, and collects one or more images generated from a reflection of the structured light source.

Abstract: A method and system for authenticating a user. An expected digital representation of an iris of at least one authentic user is generated, by combining a first digital representation of an iris of an eye of at least one authentic user with a second digital representation of at least one authentic overlay pattern. In response to a determination that a third digital representation of a captured image of an iris of a user to be authenticated does not match the expected digital representation: the expected digital representation is modified to alter a relative rotational alignment between the representation of the at least one authentic overlay pattern and the expected digital representation of the iris; and a further comparison between the modified expected digital representation and the third digital representation is performed. From the further comparison, an authentication signal indicative of whether authentication of the user has been successful is generated.

Abstract: Disclosed herein are an apparatus and method for generating a translation model and an apparatus and method for automatic translation. A translation model generation apparatus and corresponding method include a learning data collector configured to collect an original text, an original text containing an error, and a translation of the original text as learning data, and a model generator that generates a translation model to simultaneously perform error correction and translation generation by enabling a neural network to learn based on the collected learning data.

Abstract: Techniques to predictively respond to user requests using natural language processing are described. In one embodiment, an apparatus may comprise a client communication component operative to receive a user service request from a user client; an interaction processing component operative to submit the user service request to a memory-based natural language processing component; generate a series of user interaction exchanges with the user client based on output from the memory-based natural language processing component, wherein the series of user interaction exchanges are represented in a memory component of the memory-based natural language processing component; and receive one or more operator instructions for the performance of the user service request from the memory-based natural language processing component; and a user interface component operative to display the one or more operator instructions in an operator console. Other embodiments are described and claimed.

Abstract: Provided are a method and apparatus for encoding an audio signal and a method and apparatus for decoding an audio signal, in which errors generated during encoding and decoding of the audio signal are reduced to enhance the audio quality of a reconstructed audio signal. The method of encoding the audio signal includes detecting a pitch of the audio signal, determining a filter coefficient based on the detected pitch, performing second filtering on the audio signal, based on the determined filter coefficient; and encoding an audio signal resulting from the second filtering.

Abstract: Methods and systems for detecting anomalies in images of a specimen are provided. One system includes one or more computer subsystems configured for acquiring images generated of a specimen by an imaging subsystem. The computer subsystem(s) are also configured for determining one or more characteristics of the acquired images. In addition, the computer subsystem(s) are configured for identifying anomalies in the images based on the one or more determined characteristics without applying a defect detection algorithm to the images or the one or more characteristics of the images.

Abstract: A method to segment images that contain multiple objects in a nested structure including acquiring an image; defining the multiple objects by layers, each layer corresponding to one region, where a region contains an innermost object and all the objects nested within the innermost object; stacking the layers in an order of the nested structure of the multiple objects, the stack of layers having at least a top layer and a bottom layer; extending each layer with padded nodes; connecting the top layer to a sink and the bottom layer to a source, wherein each intermediate layer between the top layer and the bottom layer are connected only to the adjacent layer by undirected links; and measuring a boundary length for each layer.

Abstract: A technique for modifying an affect of a voice. The technique includes determining an emotional state associated with a person, and modifying one or more acoustic characteristics of a voice sample acquired from the person based on the emotional state to alter an affect associated with the voice sample. The technique further includes generating a second voice sample based on the one or more acoustic characteristics that have been modified, and transmitting the second voice sample.

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: Methods and systems are provided for finding a target document in spoken language processing. One of the methods includes calculating a score of each document in a document set, in response to a receipt of first n words of output of an automatic speech recognition (ASR) system, n being equal or greater than zero. The method further includes reading a prior distribution of each document in the document set from a memory device, and updating, for each document in the document set, the score, using the prior distribution, and a weight for interpolation, the weight for interpolation being set based on a confidence score of output of the ASR system. The method additionally includes finding a target document among the document set, based on the updated score of each document.