161results about How to "Efficient representation" patented technology

A parametric representation of a multi-channel audio signal having parameters suited to be used together with a monophonic downmix signal to calculate a reconstruction of the multi-channel audio signal can efficiently be derived in a stereo-backwards compatible way when a parameter combiner is used to generate the parametric representation by combining a one or more spatial parameters and a stereo parameter resulting in a parametric representation having a decoder usable stereo parameter and an information on the one or more spatial parameters that represents, together with the decoder usable stereo parameter, the one or more spatial parameters.

Methods of imaging objects based on wavelet retrieval of scenes utilize wavelet transformation of plural defined regions of a query image. By increasing the granularity of the query image to greater than one region, accurate feature vectors are obtained that allow for robust extraction of corresponding regions from a database of target images. The methods further include the use of sliding windows to decompose the query and target images into regions, and the clustering of the regions utilizing a novel similarity metric that ensures robust image matching in low response times.

A method and apparatus are provided which present hierarchical data to a user via a graphical user interface. In the interface, hierarchical data is represented by nodes, beginning with one or more top nodes and extending into lower hierarchical levels by the display of child nodes, child's child nodes, and so forth. The arrangement of nodes on the graphical user interface is such that scaling portrays the various hierarchical levels, and nodes do not spatially interfere with one another. Navigation through the hierarchical data is provided by allowing the user to select any visible node, at which point a zoom-in or zoom-out view to the selected node as a centrally located node on the interface is performed.

Welding systems and sequence controllers therefor are presented for controlling components of a welding system during a welding operation. The sequence controller receives system inputs and provides control outputs to the system components, and includes a processing component, an executable sequence control program, and a state table file. The sequence control state table file includes a number of entries corresponding to welding operation states, where the individual entries comprise one or more instruction identifiers, instruction parameters, exit condition identifiers and corresponding next state identifiers. The sequence control program is executed according to the sequence controller inputs and according to the state table file to provide the sequence controller outputs, where the state table file can be easily modified or new state table files can be created and downloaded to the sequence controller to facilitate easy reconfiguration of a welding system.

An efficient simulation system of quantum algorithm gates for classical computers with a Von Neumann architecture is described. In one embodiment, a Quantum Algorithm is solved using an algorithmic-based approach, wherein matrix elements of the quantum gate are calculated on demand. In one embodiment, a problem-oriented approach to implementing Grover's algorithm is provided with a termination condition determined by observation of Shannon minimum entropy. In one embodiment, a Quantum Control Algorithm is solved by using a reduced number of quantum operations.

Disclosed are methods for simulating pressures and saturations of oil, gas, and water in an oil reservoir with production and injection wells, which include (1) using of new approximating linear algebraic (finite difference) equations that more accurately represent actual pressures by basing the equations on new functional forms: ln(r) or 1/r, (2) solve the set equations using by defining a coarse grid array and a fine grid array nested in the fine grid array, and solving the coarse grid array and using the resulting solution to fix points in the fine grid array before it is solved, and (3) defining and solving a dynamic grid array based upon constant saturation contours.

An apparatus generates an image coding signal comprising for each image a first pixelised picture and a second pixelised picture having a luminance component and a chroma component. The apparatus comprises a first picture processor (203, 211) which includes image encoding data for an encoded first image in the first pixelised picture. A second picture processor (205, 207, 209, 211) includes dynamic range extension data in the second pixelised picture. The dynamic range extension data may be dynamic range extension data included in a chroma component of the second pixelised picture for generating an increased dynamic range image on the basis of the encoded first image. The compensation data may e.g. be compensation data for correcting another LDR-to-HDR transform, e.g. a prefixed global gamma transformation. The dynamic range extension data may be included in a luminance component and comprise data representing a dynamic range extension transform for generating an increased dynamic range image from the encoded first image.

Systems and methods for efficiently encoding and/or reformatting video data including transparent overlay portions are disclosed. In one embodiment, the method includes using two prediction regions for predicting the portion of the video including the transparent overlay. In one embodiment, a first of the two prediction regions is determined based on motion compensated prediction in reference to another video frame and a second of the two prediction regions is a collocated portion of video in another frame as referenced by a virtual zero motion vector. A mixing weight factor to be used for combining the two predictions is determined. In one embodiment, the mixing weight factor is determined based on the relative values of two error metrics, a first error metric related to the motion compensated prediction and a second error metric related to the collocated prediction of the virtual zero motion vector.

The purpose of the invention is to bridge the gap between parametric multi-channel audio coding and matrixed-surround multi-channel coding by gradually improving the sound of an up-mix signal while raising the bit-rate consumed by the side-information starting from 0 up to the bit-rates of the parametric methods. More specifically, it provides a method of flexibly choosing an “operating point” somewhere between matrixed-surround (no side-information, limited audio quality) and fully parametric reconstruction (full side-information rate required, good quality). This operating point can be chosen dynamically (i.e. varying over time) and in response to the permissible side-information rate, as it is dictated by the individual application.

The present disclosure provides methods for applying artificial neural networks to flow cytometry data generated from biological samples to diagnose and characterize cancer in a subject. The disclosure also provides methods of training, testing, and validating artificial neural networks.

A moving object detection apparatus includes: an image input unit which receives a plurality of pictures included in video; a trajectory calculating unit which calculates a plurality of trajectories from the pictures; a subclass classification unit which classifies the trajectories into a plurality of subclasses; an inter-subclass approximate geodetic distance calculating unit which calculates, for each of the subclasses, an inter-subclass approximate geodetic distance representing similarity between the subclass and another subclass, using an inter-subclass distance that is a distance including a minimum value of a linear distance between each of trajectories belonging to the subclass and one of trajectories belonging to the other subclass; and a segmentation unit which performs segmentation by determining, based on the calculated inter-subclass approximate geodetic distance, a set of subclasses including similar trajectories as one class.

A method and apparatus is disclosed for efficiently encoding data representing a video image, thereby reducing the amount of data that must be transferred to a decoder. The method includes transforming data sets utilizing a tensor product wavelet transform which is capable of transmitting remainders from one subband to another. Collections of subbands, in macro-block form, are weighted, detected, and ranked enabling prioritization of the transformed data. A motion compensation technique is performed on the subband data producing motion vectors and prediction errors which are positionally encoded into bit stream packets for transmittal to the decoder. Subband macro-blocks and subband blocks which are equal to zero are identified as such in the bit stream packets to further reduce the amount of data that must be transferred to the decoder.

Methods and apparatus for assessing operational process quality and risk of an entity or a group of entities. The present invention enables a user to effectively compare one or more events, representing what actually happened, with a reference, which represents ideal performance in terms of operational process quality and risk, and express the corresponding results in quantitative terms. The present invention is capable of presenting results in a form and with sufficient rapidity that a human decision-maker is able to timely observe conditions which represent unacceptable quality or excessive risk and respond appropriately.

A transmitting device comprises a binaural circuit (601) which provides a plurality of binaural rendering data sets, each binaural rendering data set comprising data representing parameters for a virtual position binaural rendering. Specifically, head related binaural transfer function data may be included in the data sets. A representation circuit (603) provides a representation indication for each of the data sets. The representation indication for a data set is indicative of the representation used by the data set. An output circuit (605) generates a bitstream comprising the data sets and the representation indications. The bitstream is received by a receiver (701) in a receiving device. A selector (703) selects a selected binaural rendering data set based on the representation indications and a capability of the apparatus, and an audio processor (707) processes the audio signal in response to data of the selected binaural rendering data set.

A method for determining illumination of surface points of an object in a scene from lighting sources includes determining a first thickness map for a first lighting source for the scene, wherein the first thickness map includes a first plurality of thickness values of the object with respect to distance from the first lighting source, determining a surface point on the object, determining a first plurality of thickness values associated with the surface point on the object in response to the first thickness map, determining a first filtered thickness value associated with the surface point on the object in response to the first plurality of thickness values, and determining an illumination contribution from the first lighting source at the surface point in response to the first filtered thickness value.

A method for signaling scalability information in a video parameter set is described. A modified video parameter set extension includes a scalability mask that is used in combination with a scalability dimension. The scalability mask indicates whether or not a scalability dimension is present in each layer.

An integrated circuit is provided with a diagnostic data capture and output system in the form of a diagnostic data capture circuit which captures a data word and a context word from a bus. The bus may be the functional bus connecting functional circuits within the integrated circuit or a dedicated bus linking one or more functional circuits directly to the diagnostic data capture circuit. The diagnostic data captured is buffered within a first-in-first-out buffer and then serialised for output. The diagnostic data fields also include a time value indicative of the time at which the diagnostic data field concerned was captured and whether any diagnostic data fields have failed to be captured.