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Automatic Photo Indexing Based on Person Identity

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Advances in Multimedia Information Processing - PCM 2005 (PCM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3768))

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Abstract

In this paper, we propose a novel approach to automatically index digital home photos based on person identity. A person is identified by his/her face and clothes. The proposed method consists of two parts: clustering and indexing. In the clustering, a series of unlabeled photos is aligned in taken-time order, and is divided into several sub-groups by situation. The situation groups are decided by time and visual differences. In the indexing, SVMs are trained with features of pre-indexed faces to model target persons. The representative feature vector of the person group from the clustering is queried to the trained SVMs. Each SVM outputs a numeric confidence value about the query person group. The query person group is determined to the target person by the most confident SVM. The experimental results showed that the proposed method outperformed traditional person indexing method using only face feature and its performance increased to 93.56% from 72.31%.

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References

  1. Yagawa, Y., Iwai, N., Yanagi, K., Kojima, K., Matsumoto, K.: The Digital Album: a personal file-tainment system. In: Proc. of IEEE Intl’ Conference on MCS, pp. 433–439 (1996)

    Google Scholar 

  2. Yang, M.H., Kriegman, D., Ahuja, N.: Detection Faces in Images: A Survey. IEEE Trans. on PAMI, 34–58 (2002)

    Google Scholar 

  3. Zhao, W., Chellappa, R., Phillips, P.J., Rosenfeld, A.: Face Recognition: A Literature Survey. ACM Computing Surveys, 399–458 (2003)

    Google Scholar 

  4. Ahang, L., Chen, L., Li, M., Zhang, H.: Automated Annotation of Human Faces in Family Albums. In: Proc. of the 11th ACM intl. conf. on Multimedia, pp. 355–358 (2003)

    Google Scholar 

  5. Yang, S., Kim, S.K., Seo, K.S., Ro, Y.M.: Automated Situation Clustering of Home Photos for Digital Albuming. SPIE (2005)

    Google Scholar 

  6. Manjunath, B.S., Salembier, P., Sikora, T.: Introduction to MPEG-7. John Wiley & Sons, Ltd, Chichester (2002)

    Google Scholar 

  7. Viola, P., Jones, M.: Rapid Object Detection using a Boosted Cascade of Simple Features. In: CVPR, pp. 511–518 (2001)

    Google Scholar 

  8. Wu, B., Ai, H., Huang, C., Lao, S.: Fast Rotation Invariant Multi-View Face Detection Based on Real Adaboost. In: AFGR, pp. 79–84 (2004)

    Google Scholar 

  9. Freund, Y., Schapire, R.E.: A decision-theoretic generalization of on-line learning and an application to boosting. In: Computational Learning Theory: Eurocolt 1995, pp. 23–37 (1995)

    Google Scholar 

  10. Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. John Wiley & Sons, Ltd, Chichester (2001)

    MATH  Google Scholar 

  11. Vapnik, V.N.: The Nature of Statistical Learning Theory, 2nd edn. Springer, Heidelberg (1999)

    Google Scholar 

  12. Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines and other kernel-based learning methods. Cambridge University Press, Cambridge (2000)

    Google Scholar 

  13. Moody, J., Darken, C.J.: Fast learning in networks of locally tuned processing units. Neural Computation, 281–294 (1989)

    Google Scholar 

  14. Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. John Wiley & Sons, Ltd, Chichester (2001)

    MATH  Google Scholar 

  15. NIST Database, /M7photo/Photo_DB/Face-CE_testset_org, MPEG-7 Visual Group, ISO/IEC JTC1/SX29/WG11 (2005)

    Google Scholar 

  16. Bober, M., Kim, S.K.: Description of MPEG-7 Visual Core Experiments, MPEG-7 Visual Group ISO/IEC JTC1/SC29/WG11 N6905 (2005)

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Yang, S., Seo, K.S., Kim, S.K., Ro, Y.M., Kim, JY., Seo, Y.S. (2005). Automatic Photo Indexing Based on Person Identity. In: Ho, YS., Kim, HJ. (eds) Advances in Multimedia Information Processing - PCM 2005. PCM 2005. Lecture Notes in Computer Science, vol 3768. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11582267_76

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  • DOI: https://doi.org/10.1007/11582267_76

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30040-3

  • Online ISBN: 978-3-540-32131-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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