Abstract
The image signature concept can be a successful approach to image comparison in content-based retrieval, but it is a very challenging task. Fundamental for this purpose is defining signature similarity. There exist a lot of similarity models which measure similarity of images or their objects in multimedia databases. In order to deal with semantic retrieval, we have introduced a three stage search engine. At each stage, we need different but equally effective similarity measures. Here, we have analysed asymmetric and symmetric approaches to signature comparison. In our experiment, we present an extensive comparison of some similarity measures dedicated to image retrieval.
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Beecks, C., Uysal, M.S. Seidl, T.: A comparative study of similarity measures for content-based multimedia retrieval. In: Multimedia and Expo (ICME), Suntec City, 19–23 July 2010
Jaworska, T.: Query techniques for CBIR. In: Andreasen, T., Christiansen, H., Kacprzyk, J., Larsen, H., Pasi, G., Pivert, O., De Tre, G., Vila, M.A., Yazici, A., Zadrożny, S. (eds.) Flexible Query Answering Systems, vol. 400, pp. 403–416. Springer, Cracow (2015)
Jaworska, T.: A search-engine concept based on multi-feature vectors and spatial relationship. In: Christiansen, H., De Tré, G., Yazici, A., Zadrożny, S., Larsen, H.L. (eds.) Flexible Query Answering Systems, vol. 7022, pp. 137–148. Springer, Ghent (2011)
Jaworska, T.: Spatial representation of object location for image matching in CBIR. In: Zgrzywa, A., Choroś, K., Siemiński, A. (eds.) New Research in Multimedia and Internet Systems, vol. 314, pp. 25–34. Springer, Wrocław (2014)
S. Rolewicz, Functional Analysis and Control Theory: Linear Systems, vol. Series: Mathematics and its applications, PWN-Polish Scientific Publishers, Warsaw 1987
Chang, C.-C., Wu, T.-C.: An exact match retrieval scheme based upon principal component analysis. Pattern Recogn. Lett. 16, 465–470 (1995)
Guru, D.S., Punitha, P.: An invariant scheme for exact match retrieval of symbolic images based upon principal component analysis. Pattern Recogn. Lett. 25, 73–86 (2004)
Beecks, C., Uysal, M.S. Seidl, T.: Signature quadratic form distances for content-based similarity. In: ACM Multimedia, Beijing, China, 19–24 Oct 2009
Rubner, Y., Tomasi, C., Guibas, L.J.: The earth mover’s distance as a metric for image retrieval. Int. J. Comput. Vision 40(2), 99–121 (2000)
Teague, M.R.: Image analysis via the general theory of moments. J. Opt. Soc. America 70(8), 920–930 (1980)
Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2), 91–110 (2004)
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Jaworska, T. (2017). An Asymmetric Approach to Signature Matching. In: Zgrzywa, A., Choroś, K., Siemiński, A. (eds) Multimedia and Network Information Systems. Advances in Intelligent Systems and Computing, vol 506. Springer, Cham. https://doi.org/10.1007/978-3-319-43982-2_3
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DOI: https://doi.org/10.1007/978-3-319-43982-2_3
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