NDLI: Spatial similarity and annotation-based image retrieval system

Content Provider	IEEE Xplore Digital Library
Author	SooCheol Lee EenJun Hwang
Copyright Year	2002
Description	Author affiliation: Graduate Sch. of Inf. & Commun., Ajou Univ., Suwon, South Korea (SooCheol Lee; EenJun Hwang)
Abstract	Content-based image retrieval (CBIR) systems often rely on global image characteristics such as color and texture histograms, but not the spatial relationships among component objects of an image. In this paper, we describe a new image retrieval scheme where objects of interest in an image are first identified and spatial relationships among them as well as their features including semantic information are annotated to represent the image. An important and unique aspect of the system is that users are allowed to formulate a query based on both objects of an image and their spatial relationships. This could give better precision and flexibility to retrieve images from image databases. In the prototype system, semantic information of interest for objects and the spatial relationships among them are captured and represented using XML.
Starting Page	33
Ending Page	36
File Size	714171
Page Count	4
File Format	PDF
ISBN	0769518575
DOI	10.1109/MMSE.2002.1181593
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-12-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image retrieval Information retrieval Image databases Image storage Spatial databases Content based retrieval XML Digital images Multimedia systems Multimedia databases
Content Type	Text
Resource Type	Article

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