Network Based Image Retrieval System Project

Problem Definition

Design and implementation of a Network Based Image Retrieval System, which searches images from a large database in a network based on the image features such as color, texture and shape.

Network Based Image Retrieval System Abstract

Network Based Image Retrieval System is a computer-assisted system, which searches images from a large database in a network according to the image features such as color, texture and shape. It searches collection of images based on some features that can be extracted from the image data automatically . The central task in any image data management is to retrieve images that meet some specified constraints.

Image search requires……..

• Real-time image recognition capability.

• Can be used for any images Stamp, Satellite, Face, Infrared, X-ray, Color photos.

• In many areas of commerce, government, academia, and hospitals, large collection of digital images are being created. Many of these collections are the product of digitizing existing collections of analogue photographs, diagrams, drawings, painting, and prints. Usually, the only way of searching these collections was by keyword indexing, or simply by browsing. Digital image databases however, open the way to network-based searching. Compared to conventional image retrieval techniques that use indexing keywords to retrieve image files. It retrieves images on the basis of automatically derived features. This feature makes this technology useful in many areas such as crime prevention, medicine, architecture, fashion, publishing, etc.

Technology Used in Network Based Image Retrieval System Project

• Java
• Rational Rose

Platform

• Windows XP (SP2) Professional

Software Requirements

• Java Environment
• Rational Rose

Hardware Requirements

• Pentium IV 1.7 GHz
• 256 MB DDR SDRAM
• 40 GB ultra HDD 7200 RPM
• 15″ color monitor

Mobile Bluetooth Business and Social Networking Project

To build a system that helps the people do business, make friends, enables them to handle emergency situations more easily in real time. Such a system will make the people aware of the people living around them enabling them for better opportunities in life.

Technology Used in Mobile Bluetooth Business and Social Networking Project

• Visual Basic
• Active Server Pages

Platform Used

• Windows

Software and Hardware Requirements

• Visual Studio 6.0
• Oracle 8i with SQL* plus
• IIS server
• Pentium 4
• Ethernet Adapter
• 128 MB RAM

Mobile Bluetooth Business and Social Networking Project Description

To create a system that will help people know each other better that can help them in emergency as well as happy situations. The system will make the users aware about the people living around them by exchanging their profiles with others and making matches as per the users preference using the Bluetooth technology.

The system aims at providing good human interaction and at the same time will protect the users identity by taking precautions to check that the users identity is not compromised into wrong hands. The mobile software will follow the required simulated Bluetooth protocol and even use the HTTP protocol to send server requests to fulfill users needs.

This System consists

• A central web server for users to view matches, edit their profile and configure their device
• A central database storing all web server transactions
• A mobile phone Bluetooth application that matches users through the Bluetooth protocol, stores Member ID’s and synchronizes matches and device configuration via HTTP

The system will consist of a central web server holding all the users and their details including password, photos, personal profile and phone configuration settings.

Procedure in Mobile Bluetooth Business and Social Networking

• First of all, the user will sign up online.
• Then the user will install the software on their mobile.
• The mobile device will then keep on searching for another device with same software.
• Once the mobiles come in contact they will exchange profiles and create a match as per set user preferences.
• The mobile device can be synchronized with the server to update the database.
• Once the user logs on to the internet he can view new matched id’s and start messaging with the new contacts.

Context Based Search Engine

Problem Definition for Context Based Search Engine

Our project Context Based Search Engine is basically a research oriented project where we are required to understand the working of search engines such as google, msn etc and study the concepts of data mining and data warehousing and also to research on available search algorithms. We also would be doing a comparative analysis of Google Search API and Lucene framework.

Technology Used

Java

Platform

Windows Machine

Software and Hardware Requirements

• JDK 1.5
• Microsoft Windows XP Professional SP2
• 512 Mb RAM
• 80 Gb HDD
• Pentium 4 processor

Context Based Search Engine Project Description

Although several new operating systems attempt to provide users with content-based search capabilities, they are limited to text documents. A key challenge in implementing a content-based similarity search system for feature-rich data is that such data is noisy and complex. For example, consider two different photographs of an identical scene, or two separate recordings of a person speaking the same sentence. Despite the high degree of similarity between the two images or between the audio files or data, the digital pattern of this data are different at very low level. By Comparing noise inside the digital data , usually data requires matching based on some similarity of pattern instead of exact match of digital representation. However, if we try similarity search in high dimensional data it is notoriously difficult. So in current scenario, today’s advanced search algorithms such as database tools and search engines have limited capability to search for exact matches. These kind of  search engines can work only for textual data and text annotations only. To date, there is no practical content-based search engine for massive amounts of inherently noisy, feature-rich data.

Our application would be a code indexing and search application. It will be an application of Search API and Lucene framework. This is a branched out specialized domain from context based searching.

 Download Context Based Search Engine 

Context Based Search Engine Synopsis