DocumentCode
3372262
Title
Fast Similarity Retrieval of Vector Images Using Representative Queries
Author
Hayashi, Teruaki ; Sato, Akira
Author_Institution
Inst. of Sci. & Technol., Niigata Univ., Niigata, Japan
fYear
2013
fDate
9-11 Dec. 2013
Firstpage
498
Lastpage
499
Abstract
This paper presents a fast similarity retrieval method for vector images. To reduce the computational cost of similarity matching, the proposed method uses pre-calculation results of similarity matching, which are obtained in advance by matching DB images with previously selected images called representative queries. At runtime the proposed method just matches the actual query (the user-inputted query) and the representative queries. Comparing the similarities with the precalculated similarities, the proposed method quickly estimates the actual similarities of DB images to the actual query. Experimental results have shown that the retrieval time is greatly reduced by the proposed method without much deterioration of retrieval accuracy.
Keywords
image matching; image retrieval; DB image matching; fast similarity retrieval; representative queries; similarity matching; vector images; Accuracy; Computational efficiency; Conferences; Educational institutions; Image retrieval; Multimedia communication; Vectors; indirect similarity evaluation; similarity retrieval; vector images;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia (ISM), 2013 IEEE International Symposium on
Conference_Location
Anaheim, CA
Print_ISBN
978-0-7695-5140-1
Type
conf
DOI
10.1109/ISM.2013.95
Filename
6746847
Link To Document