Symmetry feature in content-based image retrieval
Inhaltsverzeichnis
Referenz
He, J., Li, M., Zhang, H.J. and Zhang, C. (2004): Symmetry feature in content-based image retrieval. Paper presented at the IEEE International Conference on Image Processing, Beijing, China.
DOI
http://dx.doi.org/10.1109/ICIP.2004.1418779
Abstract
In this paper, we first apply the theory of wallpaper groups to natural images and extract a novel feature to depict the symmetry property of natural images. The original proposed algorithm takes autocorrelation and correlation as a preprocessing step, which is very time-consuming. Through further analysis, we develop a set of schemes to accelerate this algorithm. Experimental results demonstrate that in performing content-based image retrieval, the proposed symmetry feature outperforms the wavelet feature, which is a widely accepted descriptor of texture, and water-filling feature. The accelerated version of the algorithm improves the processing speed by a large margin while it produces little degradation in retrieval performance.
Extended Abstract
Bibtex
@INPROCEEDINGS{1418779,
author={Jingrui He and Mingjing Li and Hong-Jiang Zhang and Changshui Zhang},
booktitle={Image Processing, 2004. ICIP '04. 2004 International Conference on},
title={Symmetry feature in content-based image retrieval},
year={2004},
volume={1},
pages={417-420 Vol. 1},
keywords={content-based retrieval;correlation methods;feature extraction;image retrieval;image texture;natural scenes;symmetry;autocorrelation preprocessing;content-based image retrieval;correlation preprocessing;symmetry features;texture descriptor;wallpaper groups theory;water-filling feature;Acceleration;Algorithm design and analysis;Asia;Autocorrelation;Automation;Content based retrieval;Data mining;Feature extraction;Helium;Image retrieval},
doi={10.1109/ICIP.2004.1418779},
url={http://dx.doi.org/10.1109/ICIP.2004.1418779 http://de.evo-art.org/index.php?title=Symmetry_feature_in_content-based_image_retrieval },
ISSN={1522-4880},
month={Oct},
}
Used References
J.M. Gauch, and S.M. Pizer, "The intensity axis of symmetry and its application to image segmentation", IEEE Trans. on Pattern Analysis and Machine Intelligence, 15:753-770, 1993. http://dx.doi.org/10.1109/34.236253
B. Grünbaum, and G.C. Shephard, Tilings and patterns, W.H. Freeman and Company, 1987.
J.R. He, M.J. Li, H.J. Zhang, and C.S. Zhang, "Automatic peak number detection in image symmetry analysis", submitted to PCM'2004, 2004. http://dx.doi.org/10.1007/978-3-540-30543-9_15
J. Huang, S.R. Kumar, M. Mitra, W.J. Zhu, and R. Zabih, "Image indexing using color correlograms", CVPR, 762-768, 1997. http://dx.doi.org/10.1109/CVPR.1997.609412
C.E. Jacobs, A. Finkelstein, and D.H. Salesin, "Fast multiresolution image querying", Proc. SIGGAPH'95, 277-286, 1995. http://dx.doi.org/10.1145/218380.218454
Y. Liu, and R. Collins, "A computational model for repeated pattern perception using Frieze and Wallpaper groups", CVPR, 537-544, 2000. http://dx.doi.org/10.1109/CVPR.2000.855866
G. Pass, R. Zabih, and J. Miller, "Comparing images using color coherence vectors", ACM Multimedia, 65-73, 1996. http://dx.doi.org/10.1145/244130.244148
D. Reisfeld, and Y. Yeshurun, "Robust detection of facial features by generalized symmetry", Proc. IEEE Int. Conf. on Pattern Recognition, 117-120, 1992. http://dx.doi.org/10.1109/ICPR.1992.201521
M. Stricker, and M. Orengo, "Similarity of color images", Storage and Retrieval for Image and Video Databases, 381-392, 1995. http://dx.doi.org/10.1117/12.205308
M.J. Swain, and D.H. Ballard, "Indexing via color histograms", Proc. Third Int. Conf. on Computer Vision, 390-393, 1990. http://dx.doi.org/10.1109/ICCV.1990.139558
J.Z. Wang, G. Wiederhold, O. Firschein, and S.X. Wei, "Content-based image indexing and searching using Daubechies' wavelets", Int. J. on Digital Libraries, 1:311-328, 1997. http://dx.doi.org/10.1007/s007990050026
H. Zabrodsky, S. Peleg, and D. Avnir, "Continuous symmetry measures", J. American Chem. Soc., 115:8278-8289, 1992. http://dx.doi.org/10.1021/ja00046a033
X.S. Zhou, and T.S. Huang, "Image retrieval: feature primitives, feature representation, and relevance feedback", CBAIVL '2000, in conjunction with IEEE CVPR'2000, 2000. http://dx.doi.org/10.1109/IVL.2000.853832
X.S. Zhou, Y. Rui, and T.S. Huang, "Water-Filling: a novel way for image structural feature extraction", ICIP'99, 1999. http://dx.doi.org/10.1109/ICIP.1999.822959
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