velocity analysis is one of the most important step in seismic data processing. it affects not only many processing steps directly and indirectly, but also is known as a primary interpretation of the data. however, it can also be assumed as one of the most time consuming processing step. the conventional velocity analysis method measures the energy amplitude along hyperbolic trajectories within...

A temporal image sequence increases the dimension of the data by simply stacking images above each other. This further raises the computational complexity of the processes. The typical content of a pixel or a voxel is its grey or color value. With some processing, features and fitted model parameters are added. In a pyramid these values are repeatedly summarized in the stack of images or image ...

We present ongoing research in the Resurgence (RESearch sURGe ENabled by CyberinfrastructurE) project. This infrastructure shall enable the flexible combination of computational chemistry tools from a unified interface, with the focus on automated high-throughput processing. The implementation is based on the idea that the time-consuming parts of the calculations can be distributed onto computa...

Multiregion graph cut image partitioning via kernel mapping is used to segment any type of the image data. The image data is transformed by a kernel function so that the piecewise constant model of the graph cut formulation becomes applicable. The objective function contains an original data term to evaluate the deviation of the transformed data within each segmentation region, from the piecewi...

Particle filter has been proven very robust in handling non-linear and non-Gaussian problems and has been widely used in the area of object tracking. One of the main problems in particle filter-based object tracking is, however, its high computational cost induced by the most time-consuming stage of measurement model computation. This paper makes progress in resolving the problem by proposing a...

Image analysis is a process of extracting useful information from input images using various image processing techniques, such as denoising, enhancement, feature detection, and segmentation. State-of-the-art techniques employ sophisticated and time-consuming nonlinear processes to capture subtle and detailed information from images that may be overlooked by classical linear methods. In addition...

A fundamental computational procedure in practically all areas of scientific computing is the calculation of the Newton step (in n-dimensions). In many cases this computation represents the dominant cost in the overall computing task. Typically the Newton step computation breaks down into two separable subtasks: calculation of the Jacobian (or Hessian) matrix along with the right-hand-side, and...

Face sketch synthesis plays an important role in both digital entertainment and law enforcement. It generally consists of two parts: neighbor selection and reconstruction weight representation. State-of-the-art face sketch synthesis methods perform neighbor selection online in a data-driven manner by K nearest neighbor (K-NN) searching. However, the online search increases the time consuming fo...

An assembly refers to a collection of parts joined together achieve specific form and/or functionality. Designing assemblies is non-trivial task as slight local modification on part's geometry or its joining method could have global impact the structural functional performance whole assembly. Assemblies can be classified structures that transmit force carry loads and mechanisms transfer motion ...