Abstract: An image synthesizer for a driver assisting system includes a receiving module and a combining module. The driver assisting system includes a first camera configured to capture a first image from a first scene and a second camera configured to capture a second image from a second scene, wherein the first scene and the second scene partly overlap in an overlapping region. The receiving module configured to receive the first image from the first camera and the second image from the second camera. The combining module is configured to combine the first image and the second image in the overlapping region using a binary mask.

Abstract: A color fringe is corrected by detecting a transition region that includes pixels adjacent in a linear direction. A color difference distribution in the transition region is modeled by a logistic function. Pixel color values in the transition region are corrected using the logistic function to maximize a correlation between a correction color and a reference color with respect to the transition region. Color distortion such as color fringes is corrected without corrupting the original colors of the image by modeling the color difference by the logistic function while maximizing the correlation using information of the undistorted region. A calculation cost is reduced by reducing the number of the parameters required to optimize the logistic function.

Abstract: A method for converting textual messages to musical messages comprising receiving a text input and receiving a musical input selection. The method includes analyzing the text input to determine text characteristics and analyzing a musical input corresponding to the musical input selection to determine musical characteristics. Based on the text characteristic and the musical characteristic, the method includes correlating the text input with the musical input to generate a synthesizer input, and sending the synthesizer input to a voice synthesizer. The method includes receiving a vocal rendering of the text input from the voice synthesizer and generating a musical message from the vocal rendering and the musical input. The method includes generating a video element based on a video input, incorporating the video element into the musical message, and outputting the musical message including the video element.

Abstract: A method to analyze a facial image includes: inputting a facial image to a residual network including residual blocks that are sequentially combined and arranged in a direction from an input to an output; processing the facial image using the residual network; and acquiring an analysis map from an output of an N-th residual block among the residual blocks using a residual deconvolution network, wherein the residual network transfers the output of the N-th residual block to the residual deconvolution network, and N is a natural number that is less than a number of all of the residual blocks, and wherein the residual deconvolution network includes residual deconvolution blocks that are sequentially combined, and the residual deconvolution blocks correspond to respective residual blocks from a first residual block among the residual blocks to the N-th residual block.

Abstract: An optical tracking system includes optical source devices. The optical source devices are configured to emitting optical signals. A control method, suitable for the optical tracking system, includes following operations. A dimensional scale to be covered by the optical tracking system is obtained. Signal strength of the optical signals provided by the optical source devices is adjusted according to the dimensional scale. The signal strength of the optical signals is positively correlated with the dimensional scale.

Abstract: In various example embodiments, a system and method for a Target Language Engine are presented. The Target Language Engine augments a synonym list in a base dictionary of a target language with one or more historical search queries previously submitted to search one or more listings in listing data. The Target Language Engine identifies a compound word and a plurality of words present in the listing data that have a common meaning in the target language. Each word from the plurality of words is present in the compound word. The Target Language Engine causes a database to create an associative link between the portion of text and a word selected from at least one of the synonym list or the plurality of words.

Abstract: A portable electronic device and method. The portable electronic device includes a first camera, a second camera, an electronic processor, and one or more sensors. The electronic processor is configured to detect, based on information obtained from the one or more sensors, an incident and select a camera responsive to the incident. The electronic processor is further configured to capture an image using the selected camera and determine, within the image, a subject of interest, wherein the subject of interest is at least one selected from the group consisting of a person, an object, and an entity. The electronic processor is also configured to initiate an edge learning process on the subject of interest to create a classifier for use in identifying the subject of interest and transmit the classifier to a second portable electronic device within a predetermined distance from the portable electronic device.

Abstract: The present invention relates to an image reconstruction system for statistically reconstructing images from transmission measurements. The image reconstruction system comprises an update equation providing unit for providing an update equation based on an iterative statistical model. The update equation comprises a data term and a regularization term. The invention proposes to not modify the regularization term, but rather the weights with which individual measurements contribute are modified on a per image voxel and per measurement basis. This is achieved by modifying the contributions of each measurement by including an additional weight on a per image voxel/per measurement basis. The additional weight for each measurement is determined by calculating the noise perpendicular to each measurement ray at each voxel position and a voxel and measurement dependent weight for each measurement, and integrated into the update equation's data term.

Abstract: A method and a device for searching for images in memory containing at least one or more images and, for each image, at least one sensor fingerprint associated with the image and related to the sensor that acquired the image includes a reading phase, wherein a search sensor fingerprint is read, a compression phase, wherein the search sensor fingerprint and at least one of the sensor fingerprints associated with the images are compressed by using a random projection technique, and a searching phase, wherein the images contained in the memory are either selected or discarded by comparing the sensor fingerprints of the images with the search sensor fingerprint.

Abstract: The present invention relates to a system and method for assessing the cognitive style of a person. The system comprises an input interface (12) for receiving speech spoken by the person, a language processor (16) for analyzing the speech to identify predetermined natural language elements, and a style identifier (18, 18?) for identifying the cognitive style of the person based on the identified natural language elements.

Abstract: Optical flow is measured between a first image and a second image by evaluating a match quantifying parameter in respect of a set of candidate flow vectors. The set of candidate flow vectors includes one or more flow vectors selected in dependence upon one or more neighbor flow vectors associated with one or more neighboring pixels to the given pixel which have previously calculated respective match quantifying parameters indicative of closest matches for the one or more neighboring pixels. The set of candidate flow vectors also includes adjacent flow vectors corresponding to target pixels surrounding the target pixels identified by the neighbor flow vectors. One or more randomly selected random flow vectors is also added to the set of candidate flow vectors. The calculated match quantifying parameters are weighted in dependence upon whether the corresponding candidate flow vector is similar to any other candidate flow vector.

Abstract: A general-purpose apparatus for analyzing natural language text that allows for the implementation of a broad range of natural language understanding applications. The apparatus for natural language understanding analyzes a source text and transforms the source text into a semantically-interpretable syntactic representation (SISR), comprising a syntax template and semantic clause annotations. The general-purpose apparatus for natural language understanding is adaptable to various source text natural languages and is adaptable to various natural language understanding applications, such as query answering, translation, summarization, information extraction, disambiguation, and parsing. A natural language query answering apparatus for answering questions about a source text, whereby the query answering apparatus utilizes the general-purpose apparatus for transforming the natural language query into SISR format.

Abstract: A device and method for use with an image recording device. The device having a background target and a first surface including the background target recessed therein. The device further including a substrate stabilizer configured to move a substrate having an image printed therein in closer proximity to the background target and below the first surface when activated.

Abstract: A computer-implemented method includes receiving an image frame of image data associated with a camera. The method also includes receiving a human presence heatmap for the image frame, receiving a motion heatmap for the image frame, and receiving an image metric heatmap for the image frame. The method further includes receiving a combined heatmap as a combination of the human presence heatmap, the motion heatmap, and the image metric heatmap and setting auto-exposure parameters for the camera based on the combined heatmap.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a computing system that receives images that each have a predefined exposure attribute. For each image, a first set of features of the image are extracted. The first set of features are associated with a label indicating no modification of the image is required. A luminosity characteristic of the image is adjusted to form an adjusted image. A second set of features of the adjusted image are extracted. A neural network is trained to adjust luminosity characteristics of images using the first set of features and the second set of features of the adjusted image. An exposure adjustment model adjusts luminosity characteristics of images based on correction values determined using the trained neural network.

Abstract: Provided is an information processing apparatus including a first reception unit that receives modification to a translation result of at least one first document from a user, a generation unit that generates a translation rule corresponding to the modification received by the first reception unit, a second reception unit that receives original texts of at least one second document, and a utilization unit that utilizes the translation rule generated by the generation unit at the time of translating the original texts received by the second reception unit, depending on relevance between the at least one first document and the second document.

Abstract: A parking assist system for a vehicle includes a camera disposed at a vehicle and having a field of view exterior of the vehicle. An image processor processes image data captured by the camera to determine presence of a wall or object present in the field of view of the camera. A light projecting device is disposed at the vehicle and operable to project a visual pattern toward an area encompassed by the field of view of the camera. During a parking maneuver, and responsive to determination that the vehicle is approaching the wall or object, the parking assist system controls the light projecting device to project the visual pattern toward the determined wall or object. The projected visual pattern is viewable by a driver of the vehicle during the parking maneuver, and the projected visual pattern is indicative of distance between the vehicle and the determined wall or object.

Abstract: It is provided a method for triggering an action on a second device. It comprises the steps of obtaining audio of a multimedia content presented on a first device; comparing the obtained audio with reference audio data in a database; if finding the obtained audio exists in the database containing reference audio, determining an action corresponding to the matched reference audio; and triggering the action in the second device.

Abstract: An audio communication endpoint receives a bitstream containing spectral components representing spectral content of an audio signal, wherein the spectral components relate to a first range extending up to a first break frequency, above which any spectral components are unassigned. The endpoint adapts the received bitstream in accordance with a second range extending up to a second break frequency by removing moving spectral components or adding neutral-valued spectral components relating to a range between the first and second break frequencies. The endpoint then attenuates spectral content in a neighbourhood of the least of the first and second break frequencies for thereby achieving a gradual spectral decay. After this, reconstructing the audio signal is reconstructed by an inverse transform operating on spectral components relating to said second range in the adapted and attenuated received bitstream.

Abstract: Domain-specific language understanding models that may be built, tested and improved quickly and efficiently are provided. Methods, systems and devices are provided that enable a developer to build user intent detection models, language entity extraction models, and language entity resolution models quickly and without specialized machine learning knowledge. These models may be built and implemented via single model systems that enable the models to be built in isolation or in an end-to-end pipeline system that enables the models to be built and improved in a simultaneous manner.