DocumentCode
2113239
Title
Contextual information for image retrieval systems
Author
Chee Sheen Chan ; Johar, A. ; Jer Lang Hong
Author_Institution
Sch. of Comput. & IT, Taylor´s Univ., Subang Jaya, Malaysia
fYear
2013
fDate
23-25 July 2013
Firstpage
863
Lastpage
867
Abstract
Images in web come with valuable contextual information, which is useful for indexing and retrieval systems. However, there is no current acceptable standard which define the boundary and region where this information is located. In this paper, we discuss the state of the art image retrieval systems and address the current problem with these systems. We then formulate a hypothesis that contextual information can be found within the region nearby the images and we conduct a user study to validate our approach.
Keywords
Internet; image retrieval; search engines; Web images; contextual information; hypothesis formulation; image retrieval systems; search engines; user study; Birds; Data mining; HTML; Image retrieval; Indexing; Search engines; Web sites; Human-Centred Design; Search Engines;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2013 10th International Conference on
Conference_Location
Shenyang
Type
conf
DOI
10.1109/FSKD.2013.6816315
Filename
6816315
Link To Document