affiliate marketing

Thursday 31 May 2012

IMAGE PROCESSING AND PATTERN MATCHING


IMAGE PROCESSING AND PATTERN MATCHING

 Abstract - The growth of the Electronic Media, Process Automation and especially the outstanding growth of attention to national and personal security in the past few years have all contributed to the growing need of being able to automatically detect features and occurrences in pictures and video streams on a massive scale,without the need for human eye intervention and in real time. To date, all technologies available for such automated processing have come short of being able to supply a solution that is both technically viable and cost-effective.
This white paper details the basic ideas behind a novel, patent-pending technology called Image Processing over IP networks (IPoIP™). As its name implies, IPoIP provides a solution for automatically extracting useful data from a large number of simultaneous image (video or still) inputs connected to an IP network, but unlike other existing methods, does so at reduced costs without compromising reliability. The document will also outline the existing image-processing architectures and compare them to IPoIP. Ending this document will be a short chapter detailing several possible implementations of IPoIP in existing applications.

Introduction
A tremendous amount of research effort has been put into the ability to extract meaningful data out of captured images (both video and still) in the past years. As a result, a large number of proven algorithms exist both for real-time and offline applications, algorithms that are implemented on platforms ranging from pure software to pure hardware. These platforms, however, are generally designed to deal with a relatively small number of simultaneous image inputs (in most cases actually no more than one). They are designed in one of two main architectures: Local Processing and Server Processing.

Local Processing Architecture

PRINCIPLES OF COMPILER DESIGN INTERNAL QUESTION PAPERS


Principles of compiler design
16 Marks

1.      Construct the CLRparsing for the accepting state (id+id) and not accepting state id+?
2.      Explain the predictive parsing with an example?
3.      For the given grammar G and the input string (id*id), do the shift-reduce parsing?
4.      Explain the implementation of Three address codes?
5.      Explain translation of boolean expressions in detail?
6.      Explain translation of declaration?
2-Marks