Abstract:
In this paper we present a content-based approach for effectively searching and
retrieving images. The proposed content-based image query and retrieval (CBQR)
method uses two or more types of query for accessing images --- textual annotation
associated with images and visual appearance, such as color, texture and positional
features of objects in sample images. A user places a keyword-based query first and
then retrieves desired images by visual content-based query. A prototype CBQR system
was implemented and is available at http://140.113.216.66/WebImageSearch for online
demo, and public evaluation. We also conducted experiments over a categorized Corel
image collection and a non-categorized WWW image collection to show the
performance of the proposed CBQR method.