Paper Info
Title
Multiple evidence combination in image retrieval: Diogenes searches for people on the Web
Abstract
In this work, we examine evidence combination mechanisms for classifying multimedia information. In particular, we examine linear and Dempster-Shafer methods of evidence combination in the context of identifying personal images on the World Wide Web. An automatic web search engine named Diogenes1 searches the web for personal images and combines different pieces of evidence for identification. The sources of evidence consist of input from face detection/recognition and text/HTML analysis modules. A degree of uncertainty is involved with both of these sources. Diogenes automatically determines the uncertainty locally for each retrieval and uses this information to set a relative significance for each evidence. To our knowledge, Diogenes is the first image search engine using Dempster-Shafer evidence combination based on automatic object recognition and dynamic local uncertainty assessment. In our experiments Diogenes comfortably outperformed some well known commercial and research prototype image search engines for celebrity image queries.
Year
DOI
Venue
2000
10.1145/345508.345553
SIGIR
Keywords
Field
DocType
dynamic local uncertainty assessment,dempster-shafer evidence combination,research prototype image search,image search engine,evidence combination,celebrity image query,multiple evidence combination,automatic web search engine,personal image,image retrieval,diogenes1 search,diogenes search,evidence combination mechanism,face detection,object recognition,web search engine,world wide web,dempster shafer
Automatic object recognition,Web search engine,Data mining,World Wide Web,Search engine,Information retrieval,Computer science,Image retrieval,Face detection,Multimedia information
Conference
ISBN
Citations 
PageRank 
1-58113-226-3
21
2.56
References 
Authors
6
2
Name
Order
Citations
PageRank
Y. Alp Aslandogan139956.72
Clement T. Yu231711419.96