Abstract
We propose a method to improve the quality and the query time of shape-based image retrieval. We define a novel and an accurate shape descriptor named Distance Interior Ratio (DIR) that is invariant to rigid motion and scaling. The DIR of shapes can also be stored in an efficient search structure. Our experimental result shows a higher retrieval rate and efficient query time.
This work was supported by Grand-in-Aid for Scientific Reserch (C) 25330002, Grants-in-Aid for JSPS fellows 247851, and Scientific Research on Innovative Areas 24106007.
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References
Belongie, S., Malik, J., Puzicha, J.: Shape Matching and Object Recognition Using Shape Contexts. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(24), 509–522 (2002)
Gionis, A., Indyk, P., Motwani, R.: Similarity Search in High Dimensions via Hashing. In: Proceedings of the 25th International Conference on Very Large Data Basess, pp. 518–529 (1999)
Bresenham, J.E.: Algorithm for computer control of a digital plotter. IBM Systems Journal 4(1), 25–30 (1965)
Ling, H., Jacobs, D.W.: Shape Classification Using Inner-Distance. IEEE Trans. Pattern Analysis and Machine Intelligence 29(2), 286–299 (2007)
LSH package, http://ttic.uchicago.edu/gregory/download.html
Ip, C.Y., Lapadat, D., Sieger, L., Regil, W.C.: Using Shape Distributions to Compare Solid Models. In: Symposium on Solid Modeling and Applications, pp. 273–280 (2002)
Latecki, L.J., Lakamper, R., Eckhardt, U.: Shape Descriptors for Non-rigid Shapes with a Single Closed Controur. In: IEE Conf. on Computer Vision and Pattern Recognition, pp. 424–429 (2000)
Osada, R., Funkhouser, T., Chazelle, B., Dobkin, D.: Shape Distributions. ACM Transctions on Graphics 21, 807–832 (2002)
Rosin, P.L., Mumford, C.L.: A Symmetric Convexity Measure. Computer Vision and Image Understanding 103, 101–111 (2006)
Sebastian, T.B., Klein, P.N., Kimia, B.B.: Recognition of Shapes by Editing Their Shock Graphs. IEEE Trans. Pattern anal. Mach. Intell. 26(5), 550–571 (2004)
Shakhnarovich, G., Darrel, T., Indyk, P.: Nearest-Neighbor Methods in Learning and Vision Theory and Practise. MIT Press (March 2006)
Skiena, S.S., Smith, W.D., Lemke, P.: Reconstructing Sets From Interpoint Distances (extended abstract). In: The 6th Annual Symposium on Computational Geometry, pp. 332–339 (1990)
Mingqiang, Y., Idiyo, K.K., Joseph, R.: A Survey of Shape Feature Extraction Techniques. Pattern Recognition Techniques 24(2), 626–664 (2008)
Zhang, D., Lu, G.: Review of Shape Representation and Description Techniques. Pattern Recognition, 1–19 (2003)
Shu, X., Wu, X.J.: A Novel Contour Descriptor for 2D Shape Matching and Its Application to Image Retrieval. Image and Vision Computing 29, 286–294 (2011)
Zhang, D., Lu, G.: A Comparative Study of Fourier Descriptors for Shape Representation and Retrieval. In: The 5th Asian Conference on Computer Vision, pp. 646–651 (2002)
Zhang, J., Wenyin, L.: A Pixel-level Statistical Structural Descriptor for Shape Measure and Recognition. In: The 10th International Conference on Document Analysis and Recognition, pp. 386–390 (2009)
Zunic, J., Rosin, P.L.: A Convexity Measurement for Polygons. IEEE Trans. Pattern Anal. Mach. Intell. 26, 173–182 (2002)
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Chun, J., Kaothanthong, N., Tokuyama, T. (2013). Classified-Distance Based Shape Descriptor for Application to Image Retrieval. In: Wilson, R., Hancock, E., Bors, A., Smith, W. (eds) Computer Analysis of Images and Patterns. CAIP 2013. Lecture Notes in Computer Science, vol 8048. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40246-3_1
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DOI: https://doi.org/10.1007/978-3-642-40246-3_1
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