Abstract
Weighted Color Co-occurrence Matrix (WCCM) is introduced as a novel feature for image retrieval. When indexing images with WCCM feature, the similarities of diagonal elements and non-diagonal elements are weighted respectively based on the Isolation Parameters of the query and prototype images. After weighting, the similarity of relevant matches to the query image is strengthened and the similarity of non-relevant matches to the query is weakened. The experiments show the effectiveness of WCCM based method.
Project supported by Key Technologies R&D Program of Shanghai (03DZ19320).
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Liang, D., Yang, J., Lu, Jj., Chang, Yc. (2005). Image Retrieval Using Weighted Color Co-occurrence Matrix. In: Jackson, M., Nelson, D., Stirk, S. (eds) Database: Enterprise, Skills and Innovation. BNCOD 2005. Lecture Notes in Computer Science, vol 3567. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11511854_14
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DOI: https://doi.org/10.1007/11511854_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26973-1
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