Title :
A Web Image Retrieval Re-ranking Scheme with Cross-Modal Association Rules
Author :
Yong Zhu ; Naixue Xiong ; Jong Hyuk Park ; He, Ruisi
Author_Institution :
Coll. of Comput. Sci., Wuhan Univ. of Sci. & Eng., Wuhan
Abstract :
This paper proposes a new re-ranking scheme and presents experimental performance results for Web image retrieval with integrated query. In our previous work, cross-modal association rule was designed for associating one keyword with several visual feature clusters in Web image retrieval. Based on the cross-modal association rule, we implement an automatic re-ranking process online to integrate the keyword and visual features for Web image retrieval, and gives experimental test. The experiment is carried out in a Web image retrieval system named VAST (VisuAl & SemanTic image search), and the results show the effectiveness of the re-ranking method scheme.
Keywords :
Internet; data mining; image retrieval; VAST Web image retrieval system; automatic Web image retrieval re-ranking scheme; cross-modal keyword association rule; integrated query; visual feature cluster; Association rules; Automatic testing; Clustering methods; Computer science; Data mining; Educational institutions; Feedback; Helium; Image retrieval; Multimedia computing;
Conference_Titel :
Ubiquitous Multimedia Computing, 2008. UMC '08. International Symposium on
Conference_Location :
Hobart, ACT
Print_ISBN :
978-0-7695-3427-5
DOI :
10.1109/UMC.2008.25
