Abstract
We propose a new approach for semantics-based image retrieval. We use color-texture classification to generate the codebook which is used to segment images into regions. The content of a region is characterized by its self-saliency and the lower-level features of the region, including color and texture. The context of regions in an image describes their relationships, which are related to their relative-saliencies. High-level (semantics-based) querying and query-by-example are supported on the basis of the content and context of image regions. The experimental results demonstrate the effectiveness of our approach.
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References
L. Zhu, A. Zhang, A. Rao and R. Srihari. Keyblock: An approach for content-based image retrieval. In Proceedings of ACM Multimedia 2000, pages 157–166, Los Angeles, California, USA, Oct 30–Nov 3 2000.
J. Luo and A. Singhal. On measuring low-level saliency in photographic images. In Proc. IEEE Comp. Vision and Pattern Recognition, pages Vol. 1 pp 84–89, 2000.
W. Osberger and A. J. Maeder. Automatic identification of perceptually important regions in an image. In Proc. IEEE Int. Conf. Pattern Recognition, 1998.
Greg Pass, Ramin Zabih, and Justin Miller. Comparing images using color coherence vectors. In Proceedings of ACM Multimedia 96, pages 65–73, Boston MA USA, 1996.
M. J. Swain and D. Ballard. Color Indexing. Int Journal of Computer Vision, 7(1): 11–32, 1991.
T. F. Syeda-Mahmood. Data and model-driven selection using color regions. In Int. J. Comp. Vision, pages Vol. 21 No. 1. pp 9–36, 1997.
W. Wang, Y. Song, and A. Zhang. Semantics retrieval by content and context of image regions. In Proc. of the 15th International Conference on Vision Interface (VI’2002), Calgary, Canada, May 27–29, 2002.
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© 2002 Springer-Verlag Berlin Heidelberg
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Wang, W., Song, Y., Zhang, A. (2002). Semantics-Based Image Retrieval by Region Saliency. In: Lew, M.S., Sebe, N., Eakins, J.P. (eds) Image and Video Retrieval. CIVR 2002. Lecture Notes in Computer Science, vol 2383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45479-9_4
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DOI: https://doi.org/10.1007/3-540-45479-9_4
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