Paper Info
Title
Excluding Specified Colors from Image Queries Using a Multidimensional Query Space
Abstract
Retrieving images in a database based on user specified colors is a popular low-level retrieval technique. However, the available systems today do not easily allow for a user or a specified query to tag certain colors as unwanted in the query result to ultimately be excluded in the query. Specifically, color histogram techniques do not allow for a direct approach to excluding colors and would require a separate query stage to filter out images containing unwanted colors. In this paper we present our vector-based scheme to image retrieval using a multidimensional query space which naturally accepts the exclusion of specified colors in the overall similarity measure.
Year
DOI
Venue
1999
10.1007/3-540-48762-X_10
VISUAL
Keywords
Field
DocType
multidimensional query space,available system,specified color,query result,specified colors,popular low-level retrieval technique,image retrieval,specified query,unwanted color,separate query stage,retrieving image,color histogram
Query optimization,Color histogram,Information retrieval,Query expansion,Similarity measure,Computer science,Sargable,Web colors,Web query classification,Image retrieval
Conference
ISBN
Citations 
PageRank 
3-540-66079-8
0
0.34
References 
Authors
5
3
Name
Order
Citations
PageRank
Dimitrios Androutsos111815.48
Kostas N. Plataniotis2347.69
Anastasios N. Venetsanopoulos31104123.13