Abstract
The paper presents the architecture of experimental Content-Based Image Retrieval (CBIR) system APICAS ("Art Painting Image Colour Aesthetics and Semantics"). This system has been developed within a doctoral thesis which aims to provide a suite of specialized tools for CBIR within a digital library of art images. The high-level architecture suggested in this work takes OAIS as a basis and adds a designated layer to it allowing CBIR functions to be used both within ingest and access to the digital library.
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References
OAIS: Reference Model for an Open Archival Information System (OAIS): Blue book. Consultative Committee for Space Data Systems, p. 148 (January 2002)
Ivanova, K., Stanchev, P., Dimitrov, B.: Analysis of the distributions of color characteristics in art painting images. Serdica Journal of Computing 2/2, 111–136 (2008)
Ivanova, K., Stanchev, P.: Color harmonies and contrasts search in art image collections. In: 1st Int. Conf. on Advances in Multimedia, Colmar, France, pp. 180–187 (2009)
Ivanova, K., Stanchev, P., Vanhoof, K.: Automatic tagging of art images with color harmonies and contrasts characteristics in art image collections. Int. Journal on Advances in Software 3(3&4), 474–484 (2010)
Ivanova, K., Stanchev, P., Velikova, E., Vanhoof, K., Depaire, B., Kannan, R., Mitov, I., Markov, K.: Features for art painting classification based on vector quantization of MPEG 7 descriptors. In: 2nd Int. Conf. ICDEM, India. LNCS (2010)
Amato, G., Gennaro, C., Rabitti, F., Savino, P.: Milos: A multimedia content management system for digital library applications. In: Heery, R., Lyon, L. (eds.) ECDL 2004. LNCS, vol. 3232, pp. 14–25. Springer, Heidelberg (2004)
Demsar, J., Zupan, B., Leban, G., Curk, T.: Orange: From Experimental Machine Learning to Interactive Data Mining. White Paper, University of Ljubljana (2004)
Karypis, G.: CLUTO: A Clustering Toolkit Release 2.1.1. University of Minnesota, Department of Computer Science, Minneapolis, Technical Report: #02-017 (2003)
Mitov, I., Ivanova, K., Markov, K., Velychko, V., Vanhoof, K., Stanchev, P.: PaGaNe – a classification machine learning system based on the multidimensional numbered information spaces. World Scientific Proceedings Series on Computer Engineering and Information Science (2), 279–286 (2009)
Witten, I., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques, 2nd edn. Morgan Kaufmann, San Francisco (2005)
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Ivanova, K. (2011). Content-Based Image Retrieval in Digital Libraries of Art Images Utilizing Colour Semantics. In: Gradmann, S., Borri, F., Meghini, C., Schuldt, H. (eds) Research and Advanced Technology for Digital Libraries. TPDL 2011. Lecture Notes in Computer Science, vol 6966. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24469-8_62
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DOI: https://doi.org/10.1007/978-3-642-24469-8_62
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