Title :
Finding a Semantic Structure Interactively in Image Databases
Author :
Rege, Manjeet ; Dong, Ming ; Fotouhi, Farshad
Author_Institution :
Dept. of Comput. Sci., Wayne State Univ., Detroit, MI
Abstract :
We present a new approach to organize an image database by finding a semantic structure interactively based on multi-user relevance feedback. By treating user relevance feedbacks as weak classifiers and combining them together, we are able to capture the categories in the users´ mind and build a semantic structure in the image database. Experiments performed on an image database consisting of general purpose images demonstrate that our system outperforms some of the other conventional methods
Keywords :
image classification; relevance feedback; visual databases; image classification; image database; multiuser relevance feedback; semantic structure; Feedback; Image databases; Image retrieval; Information retrieval; Machine learning algorithms; Machine vision; Multimedia databases; Pattern recognition; Support vector machine classification; Support vector machines;
Conference_Titel :
Multimedia and Expo, 2006 IEEE International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0366-7
Electronic_ISBN :
1-4244-0367-7
DOI :
10.1109/ICME.2006.262555
