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
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;
Conference_Titel :
Multimedia (ISM), 2013 IEEE International Symposium on
Conference_Location :
Anaheim, CA
Print_ISBN :
978-0-7695-5140-1
DOI :
10.1109/ISM.2013.95