A Qualitative Approach to Content-Based Color Image Retrieval with Chinese Captions

doi:10.1142/S0219427900000120

機構典藏 > College of Engineering > Graduate Institute & Department of Computer Science and Information Engineering > Journal Article > Item 987654321/45470

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/45470

Title:	A Qualitative Approach to Content-Based Color Image Retrieval with Chinese Captions
Authors:	施國琛;Shih, Timothy K.;葛煥昭;Keh, Huan-chao;Wang, Ching-sheng;Chang, Anthony Y.;Kao, Chuan-ho
Contributors:	淡江大學資訊工程學系
Keywords:	content-based image retrieval;image database;qualitative spatial relation;color;shape
Date:	2000-06
Issue Date:	2010-03-26 19:22:19 (UTC+8)
Publisher:	World Scientific Publishing
Abstract:	This paper presents an intelligent method of retrieving images with Chinese captions from an image database. We combine color, shape and spatial features of the image to index and measure the similarity of images. As a technical contribution, a Seed-Filling like algorithm that could extract the shape and spatial relationship feature of images is proposed. Due to the difficulty of determining how far objects separate, we use qualitative spatial relations to analyze object similarities. Also, the system is incorporated with a visual interface and a set of tools, which allows the users to express the query by specifying or sketching the images conveniently. Besides, our feedback learning mechanism enhances the precision of retrieval. Our experience shows that the system is able to retrieve image information efficiently by the proposed approaches.
Relation:	International journal of computer processing of oriental languages 13(2), pp.131-159
DOI:	10.1142/S0219427900000120
Appears in Collections:	[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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