Image retrieval from the web using multiple features

Purpose - The main obstacle in realising semantic-based image retrieval from the web is that it is difficult to capture semantic description of an image in low-level features. Text-based keywords can be generated from web documents to capture semantic information for narrowing down the search space....

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Veröffentlicht in:	Online information review Jg. 33; H. 6; S. 1169 - 1188
Hauptverfasser:	Vadivel, A., Sural, Shamik, Majumdar, A.K.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bradford Emerald Group Publishing Limited 01.01.2009 Emerald
Schlagworte:	Active Learning Algorithms Exact sciences and technology Feature selection Histograms Image retrieval Imagery Indexing Information and communication sciences Information Retrieval Information science. Documentation Integrative approach Internet Keywords Learning Strategies Library and information science. General aspects Online information retrieval Pornography Queries Retrieval Sciences and techniques of general use Scientific Concepts Search engines Semantics Semiotics Statistical analysis Use and user studies. Information needs Visual Perception World Wide Web Worldwide web Search engines Worldwide web Internet Image retrieval Search engine World wide web Use study
ISSN:	1468-4527, 1468-4535
Online-Zugang:	Volltext
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