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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2013 10th International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/FSKD.2013.6816315
