World Wide Web Based Image Search Engine Using Text and Image Content Features

2003 ◽  
Author(s):  
Bo Luo ◽  
Xiaogang Wang ◽  
Xiaoou Tang
Keyword(s):  
World Wide Web ◽  
Search Engine ◽  
World Wide ◽  
Image Search ◽  
Text And Image ◽  
Image Content ◽  
Web Based

Web-Based Child Pornography

2009 ◽  
Vol 1 (4) ◽  
pp. 58-69 ◽  
Author(s):  
Chad M.S. Steel
Keyword(s):  
World Wide Web ◽  
Search Engine ◽  
Search Engines ◽  
World Wide ◽  
Child Pornography ◽  
Peer To Peer ◽  
Peer Networks ◽  
Web Based ◽  
Peer To Peer Networks ◽  
The World

While the supply of child pornography through the World Wide Web has been frequently speculated upon, the demand has not adequately been explored. Quantification and qualification of the demand provides forensic examiners a behavioral basis for determining the sophistication of individual seeking child pornography. Additionally, the research assists an examiner in searching for and presenting the evidence of child pornography browsing. The overall search engine demand for child pornography is bounded as being between .19 and .49%, depending on the inclusion of ambiguous phrases, with the top search for child pornography being “lolita bbs”. Unlike peer-to-peer networks, however, the top child pornography related query ranks only as the 198th most popular query overall. The queries on search engines appear to be decreasing as well, and the techniques employed are becoming less reliant direct links to content.

An effective World Wide Web image search engine

2001 ◽  
Vol 27 (1) ◽  
pp. 27-37
Author(s):  
Guojun Lu ◽  
Ben Williams ◽  
Chooneng You
Keyword(s):  
World Wide Web ◽  
Search Engine ◽  
World Wide ◽  
Image Search

A framework for a World Wide Web-based Data Mining system

1998 ◽  
Vol 21 (3) ◽  
pp. 163-185 ◽  
Author(s):  
Johnny S.K. Wong ◽  
Rishi Nayar ◽  
Armin R. Mikler
Keyword(s):  
Data Mining ◽  
World Wide Web ◽  
World Wide ◽  
Mining System ◽  
Web Based ◽  
Data Mining System

WebPresent: a World Wide Web-based telepresentation tool for physicians

1997 ◽  
Author(s):  
Srihari Sampath-Kumar ◽  
Anindo Banerjea ◽  
Mehran Moshfeghi
Keyword(s):  
World Wide Web ◽  
World Wide ◽  
Web Based

Challenges and Issues in Web-Based Information Retrieval System

2017 ◽  
pp. 176-194
Author(s):  
Sathiyamoorthi V.
Keyword(s):  
Information Retrieval ◽  
World Wide Web ◽  
Information Sharing ◽  
World Wide ◽  
Information Retrieval System ◽  
The Internet ◽  
Web Based ◽  
Average Speed ◽  
Great Demand ◽  
The World

It is generally observed throughout the world that in the last two decades, while the average speed of computers has almost doubled in a span of around eighteen months, the average speed of the network has doubled merely in a span of just eight months! In order to improve the performance, more and more researchers are focusing their research in the field of computers and its related technologies. Internet is one such technology that plays a major role in simplifying the information sharing and retrieval. World Wide Web (WWW) is one such service provided by the Internet. It acts as a medium for sharing of information. As a result, millions of applications run on the Internet and cause increased network traffic and put a great demand on the available network infrastructure.

Content Based Search Engine for Historical Calligraphy Images

2014 ◽  
Vol 10 (3) ◽  
pp. 1-18 ◽  
Author(s):  
Xiafen Zhang ◽  
Vijayan Sugumaran
Keyword(s):  
Search Engine ◽  
High Dimensional ◽  
Image Search ◽  
Shape Features ◽  
Document Images ◽  
Search Query ◽  
Image Content ◽  
Content Search ◽  
Image Format ◽  
Potential Use

Paper collections of historical calligraphy objects in Libraries and museums are scanned into document images to serve the academic society. However, these digitized collections are in image format, lacking the technology to search by image content. This paper proposes a search engine for searching calligraphy image content. First, 2503 page images are segmented into characters and components. Second, characters are interactively labeled and features are extracted to build a calligraphy database. When an image search query is submitted, coarse features are first extracted and used to prune the long list of calligraphy characters into a shorter list. Then fine shape features are employed to determine the most similar characters. iDistance and NB-Tree are used to create the high dimensional index. The efficiency of the algorithm has been demonstrated through experiments with 110,737 individual calligraphic character images. This research provides a demonstration of the potential use of calligraphy content search on the web.

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