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Published Articles >> Table of Contents >> Abstract
International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2
p. 8
Geoblock: A LVQ-Based Framework for Geographic Image Retrieval
Lei Zhu, Armstrong Atlantic State University, Savannah, Georgia
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ITCC.2004.1286581
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| Abstract |
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Novel approaches are needed to support content-based
retrieval on geographic image databases. Motivated by the
success in the text-based information retrieval, where the
indexing and retrieval is based on keywords, we present the
framework of geoblock-based image retrieval, where the retrieval
is conducted based on the concept of visual keyword:
"geoblock". In this paper, we will introduce a Learning
Vector Quantization (LVQ) based approach to construct the
dictionary of semantic-oriented geoblocks. Based on the
frequency and correlation of these geoblocks in the images,
comprehensive geographic image features are extracted to
facilitate image retrieval. The experimental results demonstrate
the effectiveness of this approach.
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 Additional Information
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Citation:
Lei Zhu,
"Geoblock: A LVQ-Based Framework for Geographic Image Retrieval,"
itcc,
p. 8,
International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2,
2004
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