DocumentCode
3499584
Title
An experimental study on the performance of visual information retrieval similarity models
Author
Eidenberger, Horst ; Breiteneder, Christian
Author_Institution
Inst. of Software Technol. & Interactive Syst., Vienna Univ. of Technol., Austria
fYear
2002
fDate
9-11 Dec. 2002
Firstpage
233
Lastpage
236
Abstract
This paper is an experimental study on the performance of the two major methods for macro-level similarity measurement: linear weighted merging and logical retrieval. Performance is measured as the average query execution time for a significant number of tests. The two models were implemented in the standard version (as they are applied in a number of prototypes) and in an optimized version. The results show that optimized logical retrieval clearly outperforms optimized linear weighted merging.
Keywords
content-based retrieval; image retrieval; query formulation; visual databases; average query execution time; content-based image retrieval; content-based visual retrieval; linear weighted merging; macrolevel similarity measurement; optimized logical retrieval; query optimization; triangle inequality; visual information retrieval; Content based retrieval; Equations; Euclidean distance; Image retrieval; Information retrieval; Merging; Paper technology; Prototypes; Testing; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Signal Processing, 2002 IEEE Workshop on
Print_ISBN
0-7803-7713-3
Type
conf
DOI
10.1109/MMSP.2002.1203289
Filename
1203289
Link To Document