Abstract: A method processes a multiview videos of a scene, in which each video is acquired by a corresponding camera arranged at a particular pose, and in which a view of each camera overlaps with the view of at least one other camera. Side information for synthesizing a particular view of the multiview video is obtained in either an encoder or decoder. A synthesized multiview video is synthesized from the of multiview videos and the side information. A reference picture list is maintained for each current frame of each of the multiview videos, the reference picture indexes temporal reference pictures and spatial reference pictures of the acquired multiview videos and the synthesized reference pictures of the synthesized multiview video. Each current frame of the multiview videos is predicted according to reference pictures indexed by the associated reference picture list.

Abstract: A method signals a quality of range estimates in a UWB network. For each range estimate, a confidence level of a range estimate is signaled, a confidence interval for the range estimate is signaled, and a confidence interval scaling factor for the confidence interval is signaled.

Abstract: A system and method synthesizes multiview videos. Multiview videos are acquired of a scene with corresponding cameras arranged at a poses such that there is view overlap between any pair of cameras. A synthesized multiview video is generated from the acquired multiview videos for a virtual camera. A reference picture list is maintained for each current frame of each of the multiview videos and the synthesized video. The reference picture list indexes temporal reference pictures and spatial reference pictures of the acquired multiview videos and the synthesized reference pictures of the synthesized multiview video. Then, each current frame of the multiview videos is predicted according to reference pictures indexed by the associated reference picture list during encoding and decoding.

Abstract: A computer implemented method constructs a classifier for classifying test data. High-level features are generated from low-level features extracted from training data. The high level features are positive definite matrices in a form of an analytical manifold. A subset of the high-level features is selected. An intrinsic mean matrix is determined from the subset of the selected high-level features. Each high-level feature is mapped to a feature vector onto a tangent space of the analytical manifold using the intrinsic mean matrix. Then, an untrained classifier model can be trained with the feature vectors to obtain a trained classifier. Subsequently, the trained classifier can classify unknown test data.

Abstract: A method constructs descriptors for a set of data samples and determines a distance score between pairs of subsets selected from the set of data samples. A d-dimensional feature vector is extracted for each sample in each subset of samples. The feature vector includes indices to the corresponding sample and properties of the sample. The feature vectors of each subset of samples are combined into a d×d dimensional covariance matrix. The covariance matrix is a descriptor of the corresponding subset of samples. Then, a distance score is determined between the two subsets of samples using the descriptors to measure a similarity between the descriptors.

Abstract: A method encodes a video by applying a dual-tree discrete wavelet transform to the video to generate sequences of wavelet coefficients. The sequences are compressed to produce a compressed bitstream corresponding to the video. The compression iteratively selects the wavelet coefficients in a large to small order, and entropy encodes the selected wavelet coefficient.

Abstract: Surface normals and other 3D shape descriptors are determined for a specular or hybrid specular-diffuse object. A camera records an image of a smoothly spatially-varying pattern being reflected in the surface of the object, with the pattern placed at an initial position. The camera then records multiple images of the pattern undergoing a sequence of subsequent displacements to a final position distinct from the initial position. For a pixel in the images, the pattern displacement that corresponds to the minimum difference between the pixel value in the initial image and any of the final images is determined. The incident ray that strikes the surface of the object at the point being imaged by the pixel is then determined using the determined pattern displacement. The surface normal at that same surface point is then determined using the determined incident ray.

Abstract: A method randomly accesses multiview videos. Multiview videos are acquired of a scene with corresponding cameras arranged at poses, such that there is view overlap between any pair of cameras. V-frames are generated from the multiview videos. The V-frames are encoded using only spatial prediction. Then, the V-frames are inserted periodically in an encoded bitstream to provide random temporal access to the multiview videos.

Abstract: A method selects an optimal route in a cooperative relay network including a set of nodes. For each node in a set of nodes of a cooperative relay network, dynamically varying channel state information is determined. A transmission policy based on the dynamically varying channel state information is selected, in which the transmission policy includes selected nodes forming an optimal route, a transmission mode for each selected node, and a transmission power for each selected node.

Abstract: An adaptive cascade proportional-integral-derivative controller produces a fixed controller output including a fixed proportional-integral-derivative and a fixed feedforward controller command, and an adaptive controller output including an adaptive cascade PID and an adaptive feedforward command all from a reference command. The fixed controller output and the adaptive controller output are added to produce a control command for a controlled system, which provides a measure of an output and a rate of change of the output as feedback for the controller.

Abstract: A method generates envelope spectra and harmonic spectra from an input broad-band training acoustic signal. Corresponding non-negative envelope bases are trained for the envelope spectra and non-negative harmonic bases are trained for the harmonic spectra using convolutive non-negative matrix factorization. Higher-band frequencies are generated for an input lower-band acoustic signal according to the non-negative envelope bases and the non-negative harmonic bases. Then, the input lower-band acoustic signal is combined with the higher-band frequencies to produce an output broad-band acoustic signal.

Abstract: A method and system switches antennas in an orthogonal frequency division multiplexed access (OFDMA) wireless communication system while transmitting symbols. Each symbol includes a cyclic prefix and a block of data signals. The symbols are transmitted during a first portion of a transmission time interval (TTI), from a first antenna. Then, the RF chain is switched to a second antenna to transmit the symbols, and in which the switching is performed substantially between transmitting two consecutive transmitted symbols.

Abstract: A method tracks an object. A sequence of visible images and a sequence of infrared images are acquired concurrently of a scene. A visible background image is maintained from each current visible image, while an infrared background image is maintained from each current infrared image. Each current visible image and the visible background image, and each current infrared image and the infrared background image are compared to generate corresponding changed pixels. Shadow pixels and reflectance pixels are discarded from the changed pixels to identify foreground pixels associated with an object in the scene.

Abstract: A method and system for communicating information in a cooperative relay network of wireless nodes. The wireless nodes including a source, a set of relays, and a destination. Channel state information for each channel between a particular relay of the set of relays and the destination is estimated. A subset of the relays is selected based on the channel state information. The channel state information is fed back to the subset of relays. The source node can then broadcasting data packets from the source to the subset of relays, and the subset of relays forward coherently the data packets from the subset of relays to the destination using beamforming based on the channel state information, while adjusting power to minimize a total energy consumption in the network.

Abstract: A method registers images by first determining spatial gradient magnitudes for each pixel in each image to provide a corresponding energy image. Each energy image is transformed according to motion parameters associated with the energy image. An average sum of the transformed energy images is maximized. The motion parameters are then updated according to the maximized average sum. The above steps are repeated until a termination condition is reached, and then the images can be registered with each other according to the updated motion parameters.

Abstract: The invention provides a system and method for effectively reducing peak-to-average power ratio (PAPR) in an OFDM signal. The method includes the steps of oversampling a signal in the time domain, gradually clipping an amplitude of the signal to a predefined level using a formula involving a hyperbolic tangent, bandpass filtering out-of-band spectral components of the signal due to non-linear clipping to be within a predetermined mask, and transmitting the signal.

Abstract: A system and method for communicating information in a wireless cooperative relay network of nodes, the nodes including a source, a set of relays, and a destination. The source broadcasts a code word encoded as a data stream using a rateless code. The relays receive the data stream, decode the data stream to recover the code word, and reencode and transmit the recovered code word as the data stream with the rateless code. The destination receives and decodes the reencoded data streams to recover the code word.

Abstract: A method processes a multiview videos of a scene, in which each video is acquired by a corresponding camera arranged at a particular pose, and in which a view of each camera overlaps with the view of at least one other camera. Side information for synthesizing a particular view of the multiview video is obtained in either an encoder or decoder. A synthesized multiview video is synthesized from the multiview videos and the side information. A reference picture list is maintained for each current frame of each of the multiview videos, the reference picture indexes temporal reference pictures and spatial reference pictures of the acquired multiview videos and the synthesized reference pictures of the synthesized multiview video. Each current frame of the multiview videos is predicted according to reference pictures indexed by the associated reference picture list with a skip mode and a direct mode, whereby the side information is inferred from the synthesized reference picture.

Abstract: A method and apparatus transcode an image. An encoded input bitstream of the image is analyzed to obtain a structure of the encoded input bitstream, in which the image includes a region-of-interest and a background region, and in which the encoded input bitstream is a stream of packets. A first quality value for the region-of-interest and a second quality value for the background region are determined. An encoded output bitstream is composed from a subset of the packets selected from the encoded input bitstream according to the structure, in which the subset of packets includes a first set of packets corresponding to the region-of-interest having the first quality value, a second set of packets corresponding to the background region and having second quality value, and empty packets.

Abstract: A method and system processes a speech signal. A fast Fourier transform is performed on a speech signal to produce a speech signal having a plurality of frequency bands in a frequency domain.