Scenery image retrieval by meta-feature representation

Purpose - Content-based image retrieval suffers from the semantic gap problem: that images are represented by low-level visual features, which are difficult to directly match to high-level concepts in the user's mind during retrieval. To date, visual feature representation is still limited in i...

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Bibliographic Details
Published in:	Online information review Vol. 36; no. 4; pp. 517 - 533
Main Authors:	Tsai, Chih-Fong, Lin, Wei-Chao
Format:	Journal Article
Language:	English
Published:	Bradford Emerald Group Publishing Limited 01.01.2012 Emerald
Subjects:	Algorithms Averages Categories Classification Coding Computer Graphics Decomposition Exact sciences and technology Experiments Global local relationship Image retrieval Indexing Information and communication sciences Information content Information science. Documentation Library and information science. General aspects Methods On-line systems Pattern Recognition Representation Representations Research Problems Retrieval Scenery Sciences and techniques of general use Search engines Semantics Semiotics Studies Visual Wavelet transforms Word meaning Class-specific distances Digital images Image processing Image retrieval Feature extraction Feature representation Meta-features Extraction Representation Digital image Distance
ISSN:	1468-4527, 1468-4535
Online Access:	Get full text
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