Title :
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
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;
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
DOI :
10.1109/FBIE.2009.5405860
