Abstract
In visual object retrieval, there are always queries which cannot be processed successfully. In these cases, it is desirable to extract imprecise symbolic information. We present an architecture that extracts symbolic descriptors of the objects shown in the query image. The method is based on a combination of numeric feature extraction and classification. We describe some examples of descriptors and present first experimental results.
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References
M. Bariani, R. Cucchiara, M. Piccardi, and P. Mello. Data mining for automated visual inspection. In Proceedings of First Int. Conf. On Practical Application of. Knowledge Discovery and Data Mining (PADD’ 97), pages 51–64, 1997.
M. Bober. MPEG-7 visual shape descriptors. IEEE Transactions on Circuits and. Systems for Video Technology, 11(6):716–719, June 2001.
C. Dillon and T. Caelli. Learning image annotation: The CITE system. Videre, 1(2):90–121, 1998.
B. Draper, R. Collins, J. Brolio, A. Hanson, and E. Riseman. The Schema system. Int. Journal of Computer Vision, 2(3):209–250, January 1989.
S. Hollfelder, A. Everts, and U. Thiel. Concept-based browsing in video libraries. In Proc. of the IEEE Forum on Research and Technology Advances in Digital Libraries. (IEEE ADL 99), pages 105–115, 1999.
T. Krüger, J. Wickel, P. Alvarado, and K.-F. Kraiss. Feature extraction from VRML models for view-based object recognition. In Proc. of the 4th European. Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2003), pages 391–394, 2003.
Y. Liu, W. E. Rothfus, and T. Kanade. Content-based 3d neuroradiologic image retrieval: Preliminary results. In IEEE Int. Workshop on Content-based Access of. Image and Video Databases, pages 91–100, Jan. 1998.
F. Mokhtarian, S. Abbasi, and J. Kittler. Robust and efficient shape indexing through curvature scale space. In Proc. of British Machine Vision Conf., pages 53–62, Edinburgh, UK, 1996.
J. Wickel, P. Alvarado, P. Dörfler, T. Krüger, and K.-F. Kraiss. Axiom — a modular visual object retrieval system. In M. Jarke, J. Koehler, and G. Lakemeyer, editors, KI 2002: Advances in Artificial Intelligence, pages 253–267. Springer, 2002.
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Wickel, J., Alvarado, P., Kraiss, KF. (2003). Extracting Symbolic Descriptors for Interactive Object Retrieval. In: Bigun, J., Gustavsson, T. (eds) Image Analysis. SCIA 2003. Lecture Notes in Computer Science, vol 2749. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45103-X_40
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DOI: https://doi.org/10.1007/3-540-45103-X_40
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