Abstract
A new salient point extraction method from Discrete Cosine Transformation (DCT) compressed domain for content-based image retrieval is proposed in this paper. Using a few significant DCT coefficients, we provide a robust self-adaptive salient point extraction algorithm, and based on salient points, we extract 13 rotation-, translation- and scale-invariant moments as the image shape features for retrieval. Our system reduces the amount of data to be processed and only needs to do partial entropy decoding and partial de-qualification. Therefore, our proposed scheme can accelerate the work of image retrieval. The experimental results also demonstrate it improves performance both in retrieval efficiency and effectiveness.
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© 2005 Springer-Verlag Berlin Heidelberg
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Zhang, W., Tang, J., Li, C. (2005). The Extraction of Image’s Salient Points for Image Retrieval. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_69
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DOI: https://doi.org/10.1007/11539506_69
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28312-6
Online ISBN: 978-3-540-31830-9
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