DocumentCode
3429910
Title
Fast visual search using simplified pruning rules - streamlined active search
Author
Taguchi, Shingo ; Omachi, Shinichiro ; Aso, Hirotomo
Author_Institution
Graduate Sch. of Eng., Tohoku Univ., Sendai, Japan
Volume
4
fYear
2004
fDate
23-26 Aug. 2004
Firstpage
937
Abstract
Object detection in an image has a lot of applications. It has been reported that color information has advantages in detecting objects. In this paper, a high-speed visual search strategy using color histograms by introducing simplified pruning rules and global pruning is proposed. Experimental results show that the proposed method outperforms traditional methods.
Keywords
image colour analysis; object detection; search problems; color histogram; fast visual search; global pruning; object detection; simplified pruning rules; streamlined active search; Data mining; Data security; Digital cameras; Histograms; Image databases; Image retrieval; Information retrieval; Information security; Object detection; Streaming media;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-2128-2
Type
conf
DOI
10.1109/ICPR.2004.1333927
Filename
1333927
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