2760 results about "Spatial domain" patented technology

Representations of spatial audio scenes using higher-order Ambisonics HOA technology typically require a large number of coefficients per time instant. This data rate is too high for most practical applications that require real-time transmission of audio signals. According to the invention, the compression is carried out in spatial domain instead of HOA domain. The (N+1)² input HOA coefficients are transformed into (N+1)² equivalent signals in spatial domain, and the resulting (N+1)² time-domain signals are input to a bank of parallel perceptual codecs. At decoder side, the individual spatial-domain signals are decoded, and the spatial-domain coefficients are transformed back into HOA domain in order to recover the original HOA representation.

In a transcoder means are provided for implementing a simultaneous change in rate and in resolution. In a preferred embodiment means are also provided for transferring incoming motion vectors or the like directly to the output encoder. The transcoder architecture is both suited for implementation in the spatial as well as in the frequency domain.

A method for role-based personalization of a collaborative space can include generating a collaborative space utilizing role information for an interacting user that has been defined by an underlying business process model in a workflow. For example, the step of generating a collaborative space can include parsing the workflow to extract a role model, generating a collaborative space domain model from the role model, selecting a plurality of user interface components based upon the role model, organizing the selected user interface components in the collaborative space, and rendering the collaborative space.

A method for location estimation employs filtering in both the radio signal domain and the space domain separately. The method filters raw values of the run-time radio signal measurements to reject distorted inputs. A region of confidence (RoC) is formed according to certain algorithms. Only location estimates falling within the RoC are considered for further processing. The location estimate candidates filtered by the RoC are put in a number of time-indexed bins. Each of the bins contains location estimate candidates obtained at similar times. A shortest route connecting a candidate from each bin is calculated to further improve the accuracy of the location estimation.

A method of performing bilateral filtering and using the method for displaying high-dynamic-range images is presented. The method reduces the contrast of the image while preserving detail of the image. The presently disclosed method incorporates a two-scale decomposition of the image into a base layer encoding large-scale variations, and a detail layer. The base layer has its contrast reduced, thereby preserving detail. The base layer is obtained using an edge-preserving bilateral filter. The bilateral filter is a non-linear filter, where the weight of each pixel is computed using a Gaussian in the spatial domain multiplied by an influence function in the intensity domain that decreases the weight of pixels with large intensity differences. The bilateral filtering is accelerated by using a piecewise-linear approximation in the intensity domain and appropriate subsampling.

Methods and apparatus for measuring cerebral O₂ saturation and detecting cerebral hypoxia-ischemia using multi-wavelength near infrared spectroscopy (NIRS). Near-infrared light produced by an emitter is directed through brain tissue. The intensity of the light that passes through the brain tissue is measured using photodiode detectors positioned at distinct distances from the emitter. This process is conducted for at least three wavelengths of near-infrared light. One of the wavelengths used is substantially at an isobestic point for oxy-hemoglobin and deoxy-hemoglobin, but the other two may be any wavelengths within the near-infrared spectrum (700 nm to 900 nm), so long as one of the additional wavelengths is greater than the isobestic point and the other is less than the isobestic point. Tissue oxygenation is calculated using an algorithm derived from the Beer-Lambert law. Cerebral hypoxia-ischemia may be diagnosed using the calculated tissue oxygenation value.

A method and apparatus for decoding a coded video data in a digital broadcast receiver. The method includes: determining a resizing control signal for resizing a received video data; analyzing header information from a decoded video stream and separating and outputting a video data; resizing the separated video data by the resizing control signal and decoding the resized video data into an original pixel data with an original data size by using a variable length table; dequantizing the decoded video data; resizing and converting the dequantized frequency-domain video data into a two dimensional spatial domain video data by the resizing control signal; movement compensating for movement of a movement compensation data corresponding to one of the inverse-transformed video data and the separated video data; and converting outputs of the inverse transform unit and the movement compensation unit into display data for a display unit.

Under one aspect, a computer-implemented method of displaying information about search results representing media objects, wherein at least one media object is associated with location-related content corresponding to a location, includes: receiving a query from the user; transmitting the query to a search engine; receiving search results from the search engine based on the query, each search result representing a media object; obtaining a spatial thumbnail for a search result representing a media object that is associated with location-related content corresponding to a location, the spatial thumbnail comprising an image of a spatial domain encompassing the location; and simultaneously displaying both the search results and the obtained spatial thumbnail on a visual display.

As data about events and objects become more commonly available, analyzing and understanding of interrelated temporal and spatial information is increasingly a concern for military commanders, intelligence analysts and business analysts. A system and method is provided for creating a multidimensional visual representation of a group of data elements having integrated temporal and spatial properties. The data elements are included in the visual representation as corresponding visual elements, such that the data elements of the group linked by at least one association. The system includes a visualization manager for assembling the group of data elements using the at least one association and for assigning a connection visual element in the visual representation between a first visual element representing a first data element of the group and a second visual element representing a second data element of the group. The system also has a spatial visualization component, such as a sprite, configured for generating a spatial domain of the visual representation to include a reference surface for providing a spatial reference frame having at least two spatial dimensions. The reference surface is for relating the first visual element to a first location of interest in the spatial reference frame and for relating the second visual element to a second location of interest in the spatial reference frame. The system also has a temporal visualization component, such as a sprite, configured for generating a temporal domain of the visual representation operatively coupled to the spatial domain, the temporal domain for providing a common temporal reference frame for the locations of interest. The temporal domain includes a first time track, such as a timeline, coupled to the first location of interest and a second time track coupled to the second location of interest, such that the first visual element is positioned on the first time track and the second visual element is positioned on the second time track. Each of the time tracks configured for visually representing a respective temporal sequence of a plurality of the data elements at each of the locations of interest of the reference surface. In implementation of the method, the connection visual element represents a distributed association in at least one of the domains between the first visual element and the second visual element such that the visual representation is displayed on a user interface for subsequent interaction with user events, including animation of the visual elements to help in the analysis of the data contained in the visual representation.

The invention discloses a method and system for speech or audio signal bandwidth expansion, which comprises: A. to simulate spectral envelope of the high-frequency signal components in the speech or audio signal. B. to make a synthesis of the said spectrum envelope and the low-frequency signal components corresponding to the high-frequency signal components in the frequency and spatial domain to obtain the reset high-frequency signal components. The invention also discloses the method and system to realize the said bandwidth expansion, the technical scheme offered by which has the advantage of less bit number of coding that can be adaptively adjusted based on the type features of the signals. Besides, by extracting spectrum envelope of the high-frequency signal components, the invention makes the fine structure acted on the low-frequency signal components corresponding frequency and spatial domain to guarantee the correlation between the reset high-frequency signal spectrum and the harmonization of the high-frequency signal spectrum lopped during coding.

The embodiment of the invention discloses an image prediction method and a relevant device. The image prediction method comprises the following steps: determining the motion vector predictors of K pixel samples in a current image block, wherein K is an integer greater than 1, the K pixel samples comprise a first vertex angle pixel sample of the current image block, the motion vector predictor of the first vertex angle pixel sample is obtained on the basis of the motion vector of a preset first spatial domain adjacent image block of the current image block, and the first spatial domain adjacent image block is adjacent to a first vertex angle pixel sample spatial domain; and predicting the pixel value of the current image block on the basis of a non-translational motion model and the motion vector predictors of the K pixel samples. According to the scheme in the embodiment of the invention, the computation complexity of image prediction based on the non-translational motion model is lowered.

The invention discloses a method for multi-input multi-output transmission for precoding. The method comprises the following steps: a fundamental matrix is selected, a column vector is selected from the fundamental matrix according to the dimension of a precoding matrix under each rank, the precoding matrixes are combined into codebooks, and the codebooks are respectively stored into the transmitting end and the receiving end of a multi-input multi-output transmission system; the receiving end selects precoding matrixes from the codebooks, and feeds back the indexes thereof to the transmitting end; the transmitting end uses the precoding matrixes corresponding to the indexes when the next transmission is performed, performs linear transformation in spatial domain to signals to be transmitted and then transmits the signals. The invention also discloses a method for multi-input multi-output codebook coding for precoding. The method enables the system to meet the feedback expenses and obtains good performance gain.

A method of transmitting data using a generalized phase shift based proceding or an extended phase shift precoding scheme in a multiple-antenna system using a plurality of subcarrier and a transceiver for supporting the same are disclosed. A phase shift based precoding matrix may be generalized and determined by a product of a diagonal matrix for phase shift and a unitary matrix for maintaining orthogonality in spatial domain. The diagonal matrix may be extended by a product of a proceding matrix for increasing channel power and the diagonal matrix for phase shift. The design of the transceiver can be simplified or communication efficiency can be improved by generalizing and extending the phase shift based proceding.

A method and/or system for tracking objects, such as humans, over a wide area (that is, over an area that is delineated by a large spatial domain and/or a long-duration temporal domain) is provided. Such tracking is facilitated by processing, in real-time, near real-time or otherwise contemporaneous with receiving, images captured by each of a plurality or network of slightly overlapping stereo sensors, such as stereo cameras. The method includes and the apparatus is adapted for obtaining a plurality of local-track segments, wherein the plurality of local-track segments correspond to an object captured in images taken by a respective plurality of stereo sensors; and combining the local-track segments to form a global track.

Method and system for lesion detection is disclosed. A lesion is detected from each data set in the spatial domain based on an organ intensity subtracted (OIST) image. In the temporal domain, the lesion is detected based on a maximum frequency-magnitude difference (MFMD) map across a plurality of data sets. The detection result from the spatial domain and the detection result from the temporal domain are integrated to produce an integrated lesion detection result.

A system and method for determining the pervious and impervious area within parcels associated with a municipality for purposes of generating bills for storm water runoff to parcel owners. Aerial imagery, collected from an aircraft and/or satellite, of the relevant municipality, or portion thereof, is collected, processed, and analyzed to determine the amount of water impervious area associated with each relevant parcel within the municipality. This information for each parcel may then be used to determine an appropriate amount of money to be charged to the owner of each respective parcel. The amount of impervious area per parcel is calculated based on parcel boundary information specific to the municipality that may contain spatial domain errors.

The invention discloses a behavior recognition technical method based on deep learning, which solves a problem that the intelligentization of a video monitoring system in the prior art needs to be improved. The method comprises the following steps of constructing a deeper space-time double-flow CNN-GRU neural network model by adopting a mode of combining a double-flow convolutional neural networkand a GRU network; extracting the time domain and space domain features of the video; extracting the long-time serialization characteristics of the spatial-temporal characteristic sequence according to the capability of the GRU network for memorizing information, and carrying out the behavior recognition of a video through employing a softmax classifier; proposing a new related entropy-based lossfunction; and with the help of a method for processing the mass information by referring to a human brain visual nerve attention mechanism, introducing an attention mechanism before a space-time double-flow CNN-GRU neural network model performs space-time feature fusion. The accuracy of the model provided by the technology is 61.5%, and compared with an algorithm based on a double-flow convolutional neural network, the recognition rate is improved to a certain extent.

Provided is a method of removing noise from digital moving picture data reducing the number of frames used in a temporal filtering operation and able to detect motion between frames easily. The method comprises a method of spatial filtering, a method of temporal filtering, and a method of performing the spatial filtering and the temporal filtering sequentially. The spatial filtering method applies a spatial filtering in a YCbCr color space, preserving a contour/edge in the image in the spatial domain, and generating a weight that is adaptive to the noise for discriminating the contour/edge in the temporal filtering operation. The temporal filtering method applies temporal filtering based on motion detection and scene change detection, compensating for global motion, the motion detection considering the brightness difference and color difference of the pixels compared between frames in the temporal filtering operation, and a weight that is adaptive to the noise for detecting the motion in the temporal filtering operation. The spatial filtering method is preferably performed first, and the temporal filtering method is performed with the result of the spatial filtering.

An apparatus and method for ultrafast real-time optical imaging that can be used for imaging dynamic events such as microfluidics or laser surgery is provided. The apparatus and methods encode spatial information from a sample into a back reflection of a two-dimensional spectral brush that is generated with a two-dimensional disperser and a light source that is mapped in to the time domain with a temporal disperser. The temporal waveform is preferably captured by an optical detector, converted to an electrical signal that is digitized and processed to provide two dimensional and three dimensional images. The produced signals can be optically or electronically amplified. Detection may be improved with correlation matching against a database in the time domain or the spatial domain. Embodiments for endoscopy, microscopy and simultaneous imaging and laser ablation with a single fiber are illustrated.

System and method embodiments are provided for open-loop spatial multiplexing for radio access virtualization. In an embodiment, a system includes a plurality of antenna ports and a processor coupled to the plurality of antenna ports and configured to spread a spreading sequence over at least a portion of the plurality of antenna ports in a spatial domain, wherein the processor is configured to cause the antenna ports to transmit multiple spreading sequences simultaneously by sequence superposition.

The invention relates to the technical field of movement behavioral analysis and prediction in a sense network environment, and specifically to a movement space-time trajectory analysis method in the sense network environment. The movement space-time trajectory analysis method in the sense network environment comprises data reception of receiving trajectory movement position data generated by a positioning device and resolving the data format into a data format applicable to data treatment; semantic treatment of performing clustering operation on the semantic trajectory data; space-time correlation of performing characteristic analysis and statistics on clustered semantic trajectory data in a time domain and a space domain, and performing time-space correlation analysis in combination with the time domain and the space domain; correlation similarity analysis of calculating space-time correlation similarity of the semantic trajectory and performing analysis and calculation on the correlation among different space domains and different movement objects; outputting a result. The movement space-time trajectory analysis method in the sense network environment solves the problem of continuous treatment and mutual correlation of time and space dimensions in a traditional transactional database, and meets the need from a sense network application service to real-time analysis of trajectory movement data.