Abstract: A three-dimensional (3D) image recognition system includes a first imaging sensor capable of collecting a first wavelength range of light and a second imaging sensor capable of collecting a second wavelength range of light. The first imaging sensor and the second imaging sensor are placed apart. The 3D image recognition system also includes a processor configured to identify at least one landmark area of a first image of an object collected by the first imaging sensor, and identify at least one matching landmark area in a second image of the object collected by the second imaging sensor. The processor is further configured to extract the 3D information of the object from the at least one landmark area of the images collected.

Abstract: A method and system for authenticating users accessing financial accounts from user terminals via multi-factor image authentication. The system includes an authentication server and a user terminal. The method captures a first facial image of a user and compares this image with stored facial recognition credentials. The method prompts the user via a facial gesture cue to make a facial gesture, captures a second facial image of the user, and compares the second image with stored facial gesture credentials. The user is authorized to perform a transaction in the event the first facial image matches a facial recognition credential for an authorized account, and the second facial image matches a facial gesture credential associated with the authorized account. Facial gesture credentials may be based upon static gestures or dynamic gestures, and may be overt or secret. An additional authentication factor may employ a secondary biometric sensor.

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: The present invention relates to a device for signal compensation in medical X-ray images. The device (100) comprises a generation module (10) configured to generate an X-ray ghosting image based on an X-ray detector read-out subsequent to a last X-ray exposure of a plurality of X-ray exposures; a scaling module (20) configured to scale the X-ray ghosting image into a scaled X-ray ghosting image; and a subtraction module (30) configured to subtract the scaled X-ray ghosting image from any subsequent X-ray image recorded during a respective subsequent X-ray exposure of the plurality of X-ray exposures.

Abstract: An image processing device for a vehicle includes: an acquisition unit acquiring a captured image of a periphery of a vehicle, which is captured by an imaging unit provided in the vehicle; a bird's eye view image generating unit generating a bird's eye view image in which the captured image is projected to a 3D virtual projection plane provided at a side opposite to the vehicle with reference to a ground and separated from the ground with distance from the vehicle; a guide line generating unit generating a guide line indicating a predicted course of the vehicle; a conversion unit converting the guide line into a virtual guide line indicating the predicted course on the virtual projection plane; and a superimposing unit superimposing the virtual guide line on the bird's eye view image.

Abstract: A system for encoding and applying Dynamic Range Control/Compression (DRC) gain values to a piece of sound program content is described. In particular, a set of DRC gain values representing a DRC gain curve for the piece of content may be divided into frames corresponding to frames of the piece of content. A set of fields may be included with an audio signal representing the piece of content. The additional fields may represent the DRC gain values using linear or spline interpolation. The additional fields may include 1) an initial gain value for each DRC frame, 2) a set of slope values at particular points in the DRC curve, 3) a set of time delta values for each consecutive pair of slope values, and/or 4) one or more gain delta values representing changes of DRC gain values in the DRC gain curve between points of the slope values.

Abstract: Systems and processes for processing speech in a digital assistant are provided. In one example process, a first speech input can be received from a user. The first speech input can be processed using a first automatic speech recognition system to produce a first recognition result. An input indicative of a potential error in the first recognition result can be received. The input can be used to improve the first recognition result. For example, the input can include a second speech input that is a repetition of the first speech input. The second speech input can be processed using a second automatic speech recognition system to produce a second recognition result.

Abstract: Methods and systems for authenticating a user are described. In some embodiments, a one-time token and a recording of the one-time token is read aloud by the user. The voice characteristics derived from the recording of the one-time token are compared with voice characteristics derived from samples of the user's voice. The user may be authenticated when the one-time token is verified and when a match of the voice characteristics derived from the recording of the one-time token and the voice characteristics derived from the samples of the user's voice meet or exceed a threshold.

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: 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 voice control method and display apparatus are provided. The voice control method includes converting a voice of a user into text in response to the voice being input during a voice input mode; performing a control operation corresponding to the text; determining whether speech of the user has finished based on a result of the performing the control operation; awaiting input of a subsequent voice of the user during a predetermined standby time in response to determining that the speech of the user has not finished; and releasing the voice input mode in response to determining that the speech of the user has finished.

Abstract: Methods and apparatuses for calibration of phase detection auto focus (PDAF) camera systems are disclosed. In one aspect, the method involves capturing a first image of a scene at an initial lens position, the first image including a first left image and a first right image captured using left and right photodiodes. The method may also involve calculating an initial phase difference between the first left image and first right image and estimating an in-focus lens position based on the initial phase difference. The method may further involve moving the lens to a final lens position at which a final phase difference between a second left image and a second right image of a second image captured at the final lens position is substantially zero and calibrating the estimation of the in-focus lens position based on the initial lens position, the final lens position, and the initial phase difference.

Abstract: Provided is an apparatus for compensating an image distortion and an apparatus for compensating an image distortion according to exemplary embodiments of the present invention, which compensates distortion of an image including a plurality of image division units includes: a compensation rate setting unit setting a variable distortion compensation rate so that the plurality of respective image division units are compensated at different ratios; and a compensation unit compensating the plurality of image division units according to the variable distortion compensation rate set by the compensation rate setting unit.

Abstract: A three-dimensional (3D) image recognition system includes a first imaging sensor capable of collecting a first wavelength range of light and a second imaging sensor capable of collecting a second wavelength range of light. The first imaging sensor and the second imaging sensor are placed apart. The 3D image recognition system also includes a processor configured to identify at least one landmark area of a first image of an object collected by the first imaging sensor, and identify at least one matching landmark area in a second image of the object collected by the second imaging sensor. The processor is further configured to extract the 3D information of the object from the at least one landmark area of the images collected.

Abstract: A system and method for providing breast image data. A transmission request is transmitted from a workstation to an imaging server with identifying characteristics for a mammography image. A pre-determined breast window for the mammography image is identified. An unprocessed image stored on the server that corresponds to the mammography image is identified, and breast image data can be determined for unprocessed image. The breast image data includes a breast window image that can be determined by applying the pre-determined breast window to the unprocessed image. The breast image data is transmitted to the clinician workstation, and the breast window image is displayed at the clinician workstation.

Abstract: A method of generating a wideband signal may include estimating a high-band spectrum parameter from a reconstructed narrowband signal based on a combination of at least two mapping schemes; estimating a high-band excitation signal based on the reconstructed narrowband signal; generating a high-band signal based on the estimated high-band spectrum parameter and the estimated high-band excitation signal; and generating a wideband signal by synthesizing the reconstructed narrowband signal with the high-band signal.

Abstract: A system and method for haze removal. The method comprises the steps of receiving, at a memory, an input image having pixels. The method further comprises converting, by a processor, each pixel in each channel of the input image to floating-point values in the range of zero to one [0,1], and brightness-correcting, by the processor, the input image to prevent the de-hazed output image from becoming overly dark. The method also includes estimating, by the processor, the airlight for the brightness-corrected image, calculating a transmission map for each color or intensity channel of the image, and refining the transmission map for each said color or intensity. A reduced-haze image is thereby provided.

Abstract: A method for processing change-of-address (COA) forms. The method includes capturing a first image of a first COA form. The method includes assigning a unique identifier to the first COA form and associating the unique identifier with the first image data. The method includes transmitting the first image data and the unique identifier to a cloud computing system. The cloud computing system performs an optical-character-recognition process on the first image data to produce name and address data including both an old address and a new address, validates the name and address data, and stores the name and address data in a change of address database.

Abstract: A computer-implemented method is provided for automated ontology building. The method calculates, using a parse tree obtained by parsing text, a dependency graph across contextual tokens created from the text. The method generates concept instance candidates and parent-child relationships based on pattern matching and transformation of the parse tree. The method groups concept instance candidates into concept candidates and arranges the concept candidates into a tree having tree nodes. The method provides an ontology based on the tree and text and formed as an output graph of nodes. The method provides a user interface for editing the ontology by selectively adding a new node to the output graph, removing an existing node, moving a node or sub-graph across a parent-child hierarchy in the output graph, creating a new relation across the nodes, and removing an existing relation edge.

Abstract: A computer program product is provided that includes a storage medium having instructions executable by a computer to perform a method. The method calculates, using a parse tree obtained by parsing text, a dependency graph across contextual tokens created from the text. The method generates concept instance candidates and parent-child relationships based on pattern matching and transformation of the parse tree. The method groups concept instance candidates into concept candidates and arranges the concept candidates into a tree having tree nodes. The method provides an ontology based on the tree and text and formed as an output graph of nodes. The method provides a user interface for editing the ontology by selectively adding a new node to the output graph, removing an existing node, moving a node or sub-graph across a parent-child hierarchy in the output graph, creating a new relation across the nodes, and removing an existing relation edge.