Automatic video analysis from urban surveillance cameras is a fast-emerging field based on computer vision techniques. We present here a comprehensive review of the state-of-the-art computer vision for traffic video with a critical analysis and an out
The NURBS book covers all aspects of non-uniform rational B-splines necessary to design geometry in a computer aided environment. Basic B-spline features, curve and surface algorithms, and state-of-the-art geometry tools are all discussed. Detailed
The proliferation of information housed in computerized domains makes it vital to find tools to search these resources efficiently and effectively. Ordinary retrieval techniques are inadequate because sorting is simply impossible. Consequently, prox
A wide range of fault tolerance methods for FPGAs have been proposed. Approaches range from simple architectural redundancy to fully on-line adaptive implementations. The applications of these methods also differ; some are used only for manufacturin
IBM DB2 Universal Database v8.1.2 will help you access any information, from any application, from anywhere in your organization, anytime—and do it all more easily and cost-effectively than you ever thought possible.Now, in DB2 Version 8: The Offici
Aspect-Oriented Software Developement Coverage includes Using AOSD to streamline complex systems development without sacrificing flexibility or scalability How AOSD builds on the object-oriented paradigmand how it's different State-of-the-art best p
Aspect-Oriented Software Developement Coverage includes Using AOSD to streamline complex systems development without sacrificing flexibility or scalability How AOSD builds on the object-oriented paradigmand how it's different State-of-the-art best p
ISO/IEC 14496-3:2009 integrates many different types of audio coding: natural sound with synthetic sound, low bitrate delivery with high-quality delivery and lossless coding, speech with music, complex soundtracks with simple ones, and traditional c
Publication Date: November 8, 2012 Level of detail (LOD) techniques are increasingly used by professional real-time developers to strike the balance between breathtaking virtual worlds and smooth, flowing animation. Level of Detail for 3D Graphics b
We report the findings of a month-long online competition in which participants developed algorithms for augmenting the digital version of patent documents published by the United States Patent and Trademark Office (USPTO). The goal was to detect fi
An account is given of the present state of the art of computational fluid dynamics for graduate students, researchers, engineers and physicists. The underlying numerical principles are treated with a fair amount of detail, using elementary methods.
Data analysis is very important in epidemiological research. The capacity of computing facilities has been steadily increasing, moving state of the art epidemiological studies along the same direction of computer advancement. Currently, there are ma
Presents a logical approach to engineering correct software as an application of computational logic Verification exercises develop the reader's facility in specifying and verifying software using logic Computational logic is a fast-growing field wi
The accelerating deployment of large-scale web, cloud, Big Data, and virtualized computing systems has introduced serious new challenges in performance optimization. Until now, however, little reliable, practical information has been available to IT
In this paper, we explore methods for learning local image descr iptors from training data. We describe a set of building blocks for constructing descr iptors which can be combined together and jointly optimized so as to minimize the error of a near
Abstract—Image denoising algorithms often assume an additive white Gaussian noise (AWGN) process that is independent of the actual RGB values. Such approaches cannot effectively remove color noise produced by today’s CCD digital camera. In this pape
Recent theoretical results on low-rank matrix reconstruction have inspired significant interest in low-rank modeling of MRI images. Existing approaches have focused on higher-dimensional scenarios with data available from multiple channels, timepoin
Due to increasing demands for dimensionality reduction, research on feature selection has deeply and widely expanded into many fields, including computational statistics, pattern recognition, machine learning, data mining, and knowledge discovery. H
