Físréal: a low cost terabyte search engine

Authors:
Paul Ferguson;Cathal Gurrin;Peter Wilkins;Alan F. Smeaton
Affiliations:
Centre For Digital Video Processing, Dublin City University, Ireland;Centre For Digital Video Processing, Dublin City University, Ireland;Centre For Digital Video Processing, Dublin City University, Ireland;Centre For Digital Video Processing, Dublin City University, Ireland
Venue:
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Year:
2005

Citing 0
Cited 4

Top subset retrieval on large collections using sorted indices

Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
A usage study of retrieval modalities for video shot retrieval

Information Processing and Management: an International Journal
Using score distributions for query-time fusion in multimediaretrieval

MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Index ordering by query-independent measures

Information Processing and Management: an International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this poster we describe the development of a distributed search engine, referred to as Físréal, which utilises inexpensive workstations, yet attains fast retrieval performance for Terabyte-sized collections. We also discuss the process of leveraging additional meaning from the structure of HTML, as well as the use of anchor text documents to increase retrieval performance.