Abstract
In order to reduce the gap between low-level image features and high-level image semantics, various long term learning strategies were integrated into content-based image retrieval system. The strategies always use the semantic relationships among images to improve the effectiveness of the retrieval system. This paper proposes a semantic similarity propagation method to mine the hidden semantic relationships among images. The semantic relationships are propagated between the similar images and regions. Experimental results verify the improvement on similarity propagation and image retrieval.
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© 2006 Springer-Verlag Berlin Heidelberg
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Lu, W., Pan, H., Wu, J. (2006). Region-Based Semantic Similarity Propagation for Image Retrieval. In: Zhuang, Y., Yang, SQ., Rui, Y., He, Q. (eds) Advances in Multimedia Information Processing - PCM 2006. PCM 2006. Lecture Notes in Computer Science, vol 4261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11922162_116
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DOI: https://doi.org/10.1007/11922162_116
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-48766-1
Online ISBN: 978-3-540-48769-2
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