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Joint People Recognition across Photo Collections Using Sparse Markov Random Fields

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Book cover MultiMedia Modeling (MMM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8325))

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Abstract

We show how to jointly recognize people across an entire photo collection while considering the specifies of personal photos that often depict multiple people. We devise and explore a sparse but efficient graph design based on a second-order Markov Random Field, and that utilizes a distance-based face description method. Experiments on two datasets demonstrate and validate the effectiveness of our probabilistic approach compared to traditional methods.

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References

  1. Anguelov, D., Lee, K., Gokturk, S.: Contextual identity recognition in personal photo albums. In: CVPR, pp. 1–7 (2007)

    Google Scholar 

  2. Gallagher, A.C., Chen, T.: Using a Markov network to recognize people in consumer images. In: ICIP, pp. 489–492 (2007)

    Google Scholar 

  3. Gallagher, A.C., Chen, T.: Using Context to Recognize People in Consumer Images. TCVA 1 (2009)

    Google Scholar 

  4. O’Hare, N., Smeaton, A.F.: Context-aware person identification in personal photo collections. Multimedia 11 (2009)

    Google Scholar 

  5. Lin, D., Kapoor, A., Hua, G., Baker, S.: Joint People, Event, and Location Recognition in P. P. C. Using Cross-Domain Context. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part I. LNCS, vol. 6311, pp. 243–256. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  6. Wang, G., Gallagher, A., Luo, J., Forsyth, D.: Seeing People in Social Context: Recognizing People and Social Relationships. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part V. LNCS, vol. 6315, pp. 169–182. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  7. Kapoor, A., Lin, D., Baker, S.: How to Make Face Recognition Work: The Power of Modeling Context. AAAI Work (2012)

    Google Scholar 

  8. Brenner, M., Izquierdo, E.: Gender-aided People Recognition in Photo Collections. In: MMSP (2013)

    Google Scholar 

  9. Gallagher, A.C., Chen, T.: Clothing co-segmentation for recognizing people. In: CVPR (2008)

    Google Scholar 

  10. Brenner, M., Izquierdo, E.: Recognizing People by Face and Body in Photo Collections. In: FG (2013)

    Google Scholar 

  11. Brenner, M., Izquierdo, E.: Graph-based Recognition in Photo Collections using Social Semantics. In: MM SBNMA (2011)

    Google Scholar 

  12. Brenner, M., Izquierdo, E.: People Recognition in Ambiguously Labeled Photo Collections. In: ICME. IEEE (2013)

    Google Scholar 

  13. Ahonen, T., Hadid, A.: Face description with local binary patterns: Application to face recognition. PAMI 28(12) (2006)

    Google Scholar 

  14. Wang, D., Hoi, S., He, Y., Zhu, J.: Retrieval-based face annotation by weak label regularized local coordinate coding. In: MM (2011)

    Google Scholar 

  15. Koller, D., Friedman, N.: Probabilistic graphical models: principles and techniques. MIT Press (2009)

    Google Scholar 

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Brenner, M., Izquierdo, E. (2014). Joint People Recognition across Photo Collections Using Sparse Markov Random Fields. In: Gurrin, C., Hopfgartner, F., Hurst, W., Johansen, H., Lee, H., O’Connor, N. (eds) MultiMedia Modeling. MMM 2014. Lecture Notes in Computer Science, vol 8325. Springer, Cham. https://doi.org/10.1007/978-3-319-04114-8_29

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  • DOI: https://doi.org/10.1007/978-3-319-04114-8_29

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04113-1

  • Online ISBN: 978-3-319-04114-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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