Journal ArticleDOI
Supporting Content-Based Retrieval in Large Image Database Systems
TLDR
An effective block-oriented image decomposition structure which can be used to represent image content in image database systems is introduced and the application of this image data model to content-based image retrieval is discussed.Abstract:
In this paper, we investigate approaches to supporting effective and efficient retrieval of image data based on content. We first introduce an effective block-oriented image decomposition structure which can be used to represent image content in image database systems. We then discuss the application of this image data model to content-based image retrieval. Using wavelet transforms to extract image features, significant content features can be extracted from image data through decorrelating the data in their pixel format into frequency domain. Feature vectors of images can then be constructed. Content-based image retrieval is performed by comparing the feature vectors of the query image and the decomposed segments in database images. Our experimental analysis illustrates that the proposed block-oriented image representation offers a novel decomposition structure to be used to facilitate effective and efficient image retrieval.read more
Citations
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Semantic modeling and knowledge representation in multimedia databases
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A Multi-Resolution Content-Based Retrieval Approach for Geographic Images
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Proceedings ArticleDOI
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Data resource selection in distributed visual information systems
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Proceedings ArticleDOI
Learning Concept Templates from Web Images to Query Personal Image Databases
TL;DR: This paper introduces a method for learning concept templates from web images to query personal image databases and has the advantage of leveraging Web resources to ease personal photo retrieval in order to avoid costly annotation ofpersonal image databases.
References
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