37 results about "Homograph" patented technology

A device and related methods for word-sense disambiguation during a text-to-speech conversion are provided. The device, for use with a computer-based system capable of converting text data to synthesized speech, includes an identification module for identifying a homograph contained in the text data. The device also includes an assignment module for assigning a pronunciation to the homograph using a statistical test constructed from a recursive partitioning of training samples, each training sample being a word string containing the homograph. The recursive partitioning is based on determining for each training sample an order and a distance of each word indicator relative to the homograph in the training sample. An absence of one of the word indicators in a training sample is treated as equivalent to the absent word indicator being more than a predefined distance from the homograph.

The invention relates to a method and to a device for identifying objects from images from a camera and can be used in particular in camera-based driver assistance systems. The method for detecting objects from a series of images from a vehicle camera comprises the following steps: a) capturing a series of images by means of the vehicle camera, b) determining corresponding features in two consecutive images, d) determining a plurality of planes in space by associating adjacent corresponding features with a plane in space, f) detecting objects while taking into account the planes determined instep d). According to a preferred embodiment, the method comprises the following step: c) computing homographs for adjacent corresponding features for determining the plurality of planes; and / or d2) associating adjacent corresponding features with a bottom plane, a back wall plane, or a side wall plane. Because the method according to the invention can be designed to be very fast, generic object detection or scene interpretation is possible for nearly the whole image in real time.

A word semantic embedding apparatus includes: a data storing unit to store a lexical semantic network including word dictionary data and word semantic data; a word list generating unit to extract vocabularies having a predetermined part of speech from the stored word dictionary data and generate a list of words to be learned; a processing data generating unit to bring the generated list of words to be learned and the word semantic data of a word to be learned included in the list of words to be learned from the data storing unit and process the data suitable for word embedding learning to generate processing data; and a word embedding learning unit to learn the word to be learned through the word embedding learning using a learning model formed of an input / output layer and a projection layer with the generated processing data to generate a word vector.

The invention discloses disambiguation of homographs in speech synthesis. Systems and processes for disambiguating homographs in speech synthesis are provided. In one exemplary process, voice input containing homographs may be received from a user. The speech input may be processed using an automatic speech recognition system to determine phoneme strings corresponding to homographs pronounced by the user in the speech input. The correct pronunciation of the homograph can be determined based on the phoneme string or at least one of using an n-gram language model of the automatic speech recognition system. A dialogue response to the voice input may be generated, wherein the dialogue response may include homographs. The dialogue response may be output as voice output. The homograph in the dialog response may be pronounced in the voice output according to the correct pronunciation.

The invention discloses a video synchronization method based on homograph and is used for solving the technical problem that in the prior art, a video synchronization error is relatively high when moving targets carry out non-planar movement. The method comprises the realization steps of carrying out moving target trajectory extraction and background image matching on input videos; obtaining antipodal points of background images; normalizing moving target trajectories and feature points and antipodal points of the background images; through utilization of the background points, the antipodal points and trajectory points, obtaining initial trajectory point matched pairs based on the homograph, and removing wrong trajectory point matched pairs through adoption of epipolar geometry constraints; and extracting time information of the trajectory points, and calculating time model parameters between the input videos through utilization of a random sampling consistent algorithm. According tothe method, when the moving targets carry out the non-planar movement, a relatively high accurate matching ratio can be obtained, and the method is applicable to the field such as multi-video monitoring, target tracking, video splicing, three-dimensional reconstruction and video fusion.

The invention provides a binocular video splicing device based on an SOPC. The binocular video splicing device comprises an SOPC system making a NiosII soft-core processor as a core, wherein a pair of CMOS imaging sensors are connected with a pair of binocular video acquisition modules respectively through FPGA ports; the binocular video acquisition modules are connected with a binocular video storage module; one path of the output end of the binocular video storage module is connected with a binocular video output module through a feature extraction co-processor, and the other path of the output end of the binocular video storage module is connected with a binocular video display module; the binocular video output module is further respectively provided with the NiosII processor and an upper computer, and the binocular video display module is further connected with a VGA displayer. According to a binocular video splicing method, feature points are roughly matched through a Euclidean distance method, then partial mismatching points are extracted by means of a KNN method, a homograph matrix is calculated by the adoption of a RANSAC method at last, and real-time splicing for single-frame binocular video data is achieved through cylinder space conversion and linear weighing fusion.

The invention relates to the technical field of image processing, which discloses a method for realizing rapid fusion of human face images, and solves the problems of complicated operation and low processing efficiency of professional image processing software in the traditional technology. In the present invention, at first carry out human face detection respectively to given target image and background image and obtain corresponding human face characteristic coordinate; Then, carry out normalized representation to two groups of human face characteristic coordinates obtained; Estimate the face orientation of the background image, and then perform homography transformation on the target image; then, based on the facial feature points in the background image, deform and stretch the facial feature points in the target image; finally, transform The final target image and background image are automatically segmented, and an exponential attenuation gradient coefficient template with the distance between the pixel point and the feature boundary as a factor is applied to the image segmentation, so as to finally obtain the background image fused with the face image of the target image.

The present invention discloses a robust semi-calibrating down-looking image epipolar rectification method and system. The robust semi-calibrating bottom view image epipolar rectification method comprise the following steps: S1, obtaining an image shot by a down-looking camera of an unmanned aerial vehicle at each imaging moment, an intrinsic parameter matrix of the camera, and attitude parameters provided by an inertial navigation system of the unmanned aerial vehicle, and constructing a virtual imaging environment in parallel with a ground level; S2, respectively extracting feature points from the images at different imaging moments, constructing an initial feature point corresponding set, obtaining a feature point corresponding set after transformation according to the initial feature point corresponding set; S3, constructing a probability expression model, calculating an included angle between the course of the unmanned aerial vehicle and the true north direction; and S4, calculating a homograph matrix, and performing epipolar rectification for the image at each imaging moment according to the homograph matrix. The robust semi-calibrating down-looking image epipolar rectification method can quickly achieve rectification, and can obtain high-precision rectified image, thus the robust semi-calibrating down-looking image epipolar rectification method has important guiding significance in the application fields such as unmanned aerial vehicle auxiliary navigation.

The invention relates to a Chinese character input method based on a specific Latin alphabet tone for inputting Chinese characters through a computer keyboard. The main feature is that on the basis of the current Chinese phonetic alphabet, a specific Latin letter is added after a final letter, and the final letter together forms a dialect final. Method represents pitch. These specific Latin letters are x, v, q, j, etc., which are only combined with i and u initial consonant letters to form pinyin. The same letter means Yinping and light tone. The corresponding keys on the keyboard are: x key means Yangping, v key means upward adjustment, q key means de-adjustment. The j key and the h key distinguish homographs. This program has the advantages of easy memorization, learning and computer operation, and is conducive to the realization of the standardization, standardization and popularization and application of the common language of the country-common and standardized Chinese characters.