Title :
An intelligent system for integrating semantic and iconic features for image retrieval
Author :
Tang, Lilian H. ; Hanka, Rudolf ; Ip, Horace H S ; Cheung, Kent K T ; Lam, Ringo
Author_Institution :
Sch. of Electron., Surrey Univ., Guildford, UK
Abstract :
The I-Browse project aimed to develop a prototype system to provide facilities for supporting intelligent retrieval of medical images through a combination of iconic and semantic content. The resulting prototype system, I-Browse, is able to extract and represent relevant iconic and semantic information from input images and to automatically generate textual annotations for images. Techniques were also developed for retrieving relevant images from the database given either an example image query or a textual query. The facilities provided by I-Browse were evaluated by medical colleagues and judged to have the potential of alleviating some of the time-consuming tasks that doctors now have to perform daily and providing a means of identifying previously unknown relationships between visual appearance and histological events
Keywords :
deductive databases; image retrieval; medical image processing; medical information systems; visual databases; I-Browse project; histological events; iconic features; image database; image query; intelligent system; medical image processing; medical image retrieval; prototype system; semantic features; textual annotations; textual query; visual appearance; Biomedical imaging; Content based retrieval; Image databases; Image retrieval; Indexing; Information retrieval; Intelligent systems; Magnetic resonance imaging; Medical diagnostic imaging; Prototypes;
Conference_Titel :
Computer Graphics International 2001. Proceedings
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-1007-8
DOI :
10.1109/CGI.2001.934680