The application of particle swarm optimization in relevance feedback

Author

Xu, Xiangli ; Zhang, Libiao ; Yu, Zhezhou ; Zhou, Chunguang

Author_Institution

Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China

fYear

2009

fDate

13-14 Dec. 2009

Firstpage

156

Lastpage

159

Abstract

Particle swarm optimization(PSO) algorithm is applied in relevance feedback(RF) of image retrieval, which is combined with user feedback process effectively, The proposed method makes users´ understanding to the retrieval goal become clear gradually, it could search image database effectively and comprehensively, and at the same time it could avoid the contradiction of efficiency and retrieval effect caused by multi-feedback. Experiments show that the proposed algorithm is validity.

Keywords

image retrieval; particle swarm optimisation; relevance feedback; visual databases; PSO algorithm; image database search; image retrieval; particle swarm optimization application; relevance feedback; user feedback process; Biomedical engineering; Content based retrieval; Educational technology; Image retrieval; Information retrieval; Knowledge engineering; Negative feedback; Paper technology; Particle swarm optimization; Radio frequency; image retrieval; particle swarm optimization; relevance feedback;

fLanguage

English

Publisher

ieee

Conference_Titel

BioMedical Information Engineering, 2009. FBIE 2009. International Conference on Future

Conference_Location

Sanya

Print_ISBN

978-1-4244-4690-2

Electronic_ISBN

978-1-4244-4692-6

Type

conf

DOI

10.1109/FBIE.2009.5405860

Filename

5405860