NDLI: Integrating visual ontologies and wavelets for image content retrieval

Content Provider	IEEE Xplore Digital Library
Author	Weng Zu Mao Bell, D.
Copyright Year	1998
Description	Author affiliation: Sch. of Inf. & Software Eng., Ulster Univ., Jordanstown, UK (Weng Zu Mao)
Abstract	One of the challenging problems for image content retrieval is how to represent semantics of images. We have proposed a new representation for image contents using visual ontologies and wavelets. We will discuss how to represent the shape of objects/regions of interest, colour distribution and texture of the images integrating visual ontologies with wavelets. Our ideas are: (1) propose a set of meta ontologies and semantic descriptors (graphic and symbolic) for visual ontologies; (2) using visual ontologies and most significant coefficients of a 2D multiresolution wavelet transform to represent image contents. The visual ontologies are represented by a set of descriptors, relations, logic operators, and functions; (3) using a multiresolution wavelet transform to extract the colour and texture features of target images and map it into relevant visual ontologies. The query images can also be represented as visual ontologies or most significant coefficients of a 2-D multiresolution wavelet; (4) a spatial query can be integrated with other visual ontologies. The initial experiments have shown encouraging results.
Starting Page	379
Ending Page	384
File Size	58312
Page Count	6
File Format	PDF
ISBN	0818683538
DOI	10.1109/DEXA.1998.707428
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-08-26
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ontologies Image retrieval Content based retrieval Image processing Knowledge representation Signal resolution Software engineering Electrical capacitance tomography Computer vision Software reusability
Content Type	Text
Resource Type	Article

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