DocumentCode
2259902
Title
A fast retrieval algorithm for the earth mover´s distance using EMD lower bounds and the priority queue
Author
Shishibori, Masami ; Koizumi, Daichi ; Kita, Kenji
Author_Institution
Univ. of Tokushima, Tokushima, Japan
fYear
2009
fDate
24-27 Sept. 2009
Firstpage
1
Lastpage
6
Abstract
Earth mover´s distance (EMD) is a distance measure between two distributions, and has been widely used in multimedia information retrieval systems, especially content-based image retrieval systems. When the EMD is applied to image problems based on color or texture, the EMD reflects the human perceptual similarities. Its computations, however, is too expensive to use in large-scale databases. In order to achieve the efficient computation of the EMD during query processing, we have developed ldquofastEMDrdquo, a library for high-speed feature-based similarity retrievals in large databases. This paper introduces techniques that are used in the implementation of the fastEMD and demonstrates the efficiency in extensive experiments.
Keywords
content-based retrieval; data structures; feature extraction; image colour analysis; image retrieval; image texture; linear programming; multimedia databases; very large databases; CBIR; EMD lower bound; content-based image retrieval system; earth mover distance measure; fastEMD library; high-speed feature-based similarity retrieval; human perceptual similarity; image color; image texture; information retrieval algorithm; large-scale multimedia database; linear programming problem; multimedia information retrieval system; priority queue; query processing; Content based retrieval; Earth; Humans; Image databases; Image retrieval; Information retrieval; Large-scale systems; Multimedia databases; Multimedia systems; Spatial databases; Content-based Image Retrieval; Earth Mover´s Distance; Lower Bounds;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Language Processing and Knowledge Engineering, 2009. NLP-KE 2009. International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-4538-7
Electronic_ISBN
978-1-4244-4540-0
Type
conf
DOI
10.1109/NLPKE.2009.5313772
Filename
5313772
Link To Document