Abstract
For databases of facial images, where each subject has only a few images, the query precision of interactive retrieval suffers from the problem of extremely small class sizes. A novel method is proposed to relieve this problem by applying partial relevance to the interactive retrieval. This work extends an existing content-based image retrieval system, PicSOM, by relaxing the relevance criterion in the early rounds of the retrieval. Moreover, we apply linear discriminant analysis as a preprocessing step before training the Self-Organizing Maps (SOMs) so that the resulting SOMs have stronger discriminative power. The results of simulated retrieval experiments suggest that for semantic classes such as “black persons” or “bearded persons” the first image which depicts the target subject can be obtained three to six times faster than by retrieval without the partial relevance.
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References
Ruiz del Solar, J., Navarrete, P.: FACERET: An interactive face retrieval system based on Self-Organizing Maps. In: Lew, M., Sebe, N., Eakins, J.P. (eds.) CIVR 2002. LNCS, vol. 2383, pp. 157–164. Springer, Heidelberg (2002)
Fisher, R.A.: The use of multiple measurements in taxonomic problems. Annals of Eugenics 7 (1963)
Koskela, M., Laaksonen, J., Oja, E.: Entropy-based measures for clustering and SOM topology preservation applied to content-based image indexing and retrieval. In: Proceedings of 17th International Conference on Pattern Recognition (ICPR 2004), Cambridge, UK, August 2004, vol. 2, pp. 1005–1008 (2004)
Phillips, P.J., Moon, H., Rizvi, S.A., Rauss, P.J.: The FERET evaluation methodology for face recognition algorithms. IEEE Trans. Pattern Analysis and Machine Intelligence 22, 1090–1104 (2000)
Turk, M.A., Pentland, A.P.: Face recognition using eigenfaces. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, proceedings of CVPR 1991, Maui, HI, USA, June 1991, pp. 586–591 (1991)
Wang, X., Tang, X.: A unified framework for subspace face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(9), 1222–1228 (2004)
Yang, Z., Laaksonen, J.: Interactive retrieval in facial image database using Self-Organizing Maps. In: Proc. of IAPR Conference on Machine Vision Applications (MVA2005), Tsukuba Science City, Japan, May 2005, pp. 112–115 (2005)
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Yang, Z., Laaksonen, J. (2005). Partial Relevance in Interactive Facial Image Retrieval. In: Singh, S., Singh, M., Apte, C., Perner, P. (eds) Pattern Recognition and Image Analysis. ICAPR 2005. Lecture Notes in Computer Science, vol 3687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552499_25
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DOI: https://doi.org/10.1007/11552499_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28833-6
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