標題: Multimodal search for effective image retrieval
作者: Fu, Hsin C.
Xu, Yeong. Y.
Pao, Hsiao T.
資訊工程學系
Department of Computer Science
關鍵字: image query and retrieval;text search;multimodal;content based query;model-based search
公開日期: 2008
摘要: In this paper we present a multimodal approach for effectively searching and retrieving images. The proposed multimodal image query and retrieval (MIQR) 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 MIQR system was implemented and is available at hitp://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 MIQR method.
URI: http://hdl.handle.net/11536/31275
ISBN: 978-80-227-2856-0
期刊: PROCEEDINGS OF IWSSIP 2008: 15TH INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING
起始頁: 233
結束頁: 236
Appears in Collections:Conferences Paper