Social Aspects of Photobooks: Improving Photobook Authoring from Large-Scale Multimedia Analysis


With photo albums we aim to capture personal events such as weddings, vacations, and parties of family and friends. By arranging photo prints, captions and paper souvenirs such as tickets over the pages of a photobook we tell a story to capture and share our memories. The photo memories captured in such a photobook tell us much about the content and the relevance of the photos for the user. The way in which we select photos and arrange them in the photo album reveal a lot about the events, persons and places on the photos: captions describe content, closeness and arrangement of photos express relations between photos and their content and especially about the social relations of the author and the persons present in the album. Nowadays the process of photo album authoring has become digital, photos and texts can be arranged and laid out with the help of authoring tools in a digital photo album which can be printed as a physical photobook. In this chapter we present results of the analysis of a large repository of digitally mastered photobooks to learn about their social aspects. We explore to which degree a social aspect can be identified and how expressive and vivid different classes of photobooks are. The photobooks are anonymized, real world photobooks from customers of our industry partner CeWe Color. The knowledge gained from this social photobook analysis is meant both to better understand how people author their photobooks and to improve the automatic selection of and layout of photobooks.


Social Aspect Semantic Annotation Font Size Test Collection Multimedia Presentation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Adobe: Flash file format specification 7. (2004)
  2. 2.
    Bentley, F., Metcalf, C., Harboe, G.: Personal vs. commercial content: the similarities between consumer use of photos and music. In: CHI ’06: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 667–676. ACM, New York (2006). CrossRefGoogle Scholar
  3. 3.
    Boll, S., Sandhaus, P., Scherp, A., Thieme, S.: Metaxa—context- and content-driven metadata enhancement for personal photo books. In: Cham, T.J., Cai, J., Dorai, C., Rajan, D., Chua, T.S., Chia, L.T. (eds.) Advances in Multimedia Modeling. LNCS, vol. 4351, pp. 332–343. Springer, Berlin (2007) CrossRefGoogle Scholar
  4. 4.
    Boutell, M.R., Luo, J.: Beyond pixels: Exploiting camera metadata for photo classification. Pattern Recognit. 38(6), 935–946 (2005) CrossRefGoogle Scholar
  5. 5.
    CeWe Color: CeWe Photobook (2007).
  6. 6.
    Chalfen, R.: Snapshot Versions of Life. Bowling Green University Popular Press, Bowling Green (1987) Google Scholar
  7. 7.
    Crabtree, A., Rodden, T., Mariani, J.: Collaborating around collections: informing the continued development of photoware. In: CSCW ’04: Proceedings of the 2004 ACM Conference on Computer Supported Cooperative Work, pp. 396–405. ACM, New York (2004). CrossRefGoogle Scholar
  8. 8.
    Datta, R., Ge, W., Li, J., Wang, J.Z.: Image retrieval: Ideas, influences, and trends of the new age. ACM Comput. Surv. 40, 51–60 (2008). CrossRefGoogle Scholar
  9. 9.
    Falkovych, K., Nack, F., van Ossenbruggen, J., Rutledge, L.: Sample: Towards a framework for system-supported multimedia authoring. In: Proceedings of 10th International Multimedia Modelling Conference, p. 362. IEEE, New York (2004) CrossRefGoogle Scholar
  10. 10.
    Frohlich, D., Kuchinsky, A., Pering, C., Don, A., Ariss, S.: Requirements for photoware. In: CSCW ’02: Proceedings of the 2002 ACM conference on Computer supported cooperative work, pp. 166–175. ACM Press, New York (2002). doi: 10.1145/587078.587102. CrossRefGoogle Scholar
  11. 11.
    Frohlich, D., Wall, S., Kiddle, G.: Collaborative photowork: Challenging the boundaries between photowork and phototalk. In: Proc. of CHI Workshop on Collocated Social Practices Surrounding Photos (2008) Google Scholar
  12. 12.
    Kirk, D., Sellen, A., Rother, C., Wood, K.: Understanding photowork. In: CHI ’06: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 761–770. ACM Press, New York (2006). CrossRefGoogle Scholar
  13. 13.
    Lew, M.S., Sebe, N., Djeraba, C., Jain, R.: Content-based multimedia information retrieval: State of the art and challenges. ACM Trans. Multimedia Comput. Commun. Appl. 2(1), 1–19 (2006). doi: 10.1145/1126004.1126005 CrossRefGoogle Scholar
  14. 14.
    Lindley, S.E., Durrant, A.C., Kirk, D.S., Taylor, A.S.: Collocated social practices surrounding photos. In: CHI ’08: CHI ’08 Extended Abstracts on Human Factors in Computing Systems, pp. 3921–3924. ACM, New York (2008). Google Scholar
  15. 15.
    Luo, J., Boutell, M., Brown, C.: Pictures are not taken in a vacuum. IEEE Signal Process. Mag. 23(2), 101–114 (2006) CrossRefGoogle Scholar
  16. 16.
    Nov, O., Naaman, M., Ye, C.: Motivational, structural and tenure factors that impact online community photo sharing. In: Third International Conference on Weblogs and Social Media (ICWSM), San Jose, California (2009) Google Scholar
  17. 17.
    Rabbath, M., Sandhaus, P., Boll, S.: Automatic creation of printable photo books out of your stories in social networks. In: 2nd SIGMM Workshop on Social Media (WSM2010), Florenze, Italy (2010) Google Scholar
  18. 18.
    Rodden, K., Wood, K.R.: How do people manage their digital photographs. In: Gilbert Cockton, P.K. (ed.) Proceedings of the Conference on Human Factors and Computing Systems, pp. 409–416. ACM, New York (2003) CrossRefGoogle Scholar
  19. 19.
    Sandhaus, P., Rabbath, M., Erbis, I., Boll, S.: Employing aesthetic principles for automatic photo book layout. In: Proc. of International Conference on Multimedia Modelling, Taipei, Taiwan (2011) Google Scholar
  20. 20.
    Scherp, A.: Semantics support for personalized multimedia content. In: Proceedings of the IASTED International Conference on Internet and Multimedia Systems and Applications, pp. 57–65. ACTA Press, Innsbruck (2008) Google Scholar
  21. 21.
    Scherp, A., Jain, R.: Towards an ecosystem for semantics. In: MS ’07: Workshop on Multimedia Information Retrieval on the Many Faces of Multimedia Semantics, pp. 3–12. ACM Press, New York (2007). CrossRefGoogle Scholar
  22. 22.
    Scherp, A., Boll, S., Cremer, H.: Emergent semantics in personalized multimedia content. In: Fourth Special Workshop on Multimedia Semantics (WMS), Chania, Greece (2006) Google Scholar
  23. 23.
    Smeulders, A.W., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-based image retrieval at the end of the early years. IEEE Trans. Pattern Anal. Mach. Intell. 22(12), 1349–1380 (2000). CrossRefGoogle Scholar
  24. 24.
    Van House, N., Davis, M., Takhteyev, Y., Ames, M., Finn, M.: The social uses of personal photography: Methods for projecting future imaging applications. University of California, Berkeley, Working Papers 3, 2005 (2004) Google Scholar
  25. 25.
    Van Ossenbruggen, J., Hardman, L., Geurts, J., Rutledge, L.: Towards a multimedia formatting vocabulary. In: Proceedings of the 12th International Conference on World Wide Web, pp. 384–393. ACM, New York (2003) Google Scholar
  26. 26.
    Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: Proc. IEEE Conf. on Computer Vision and Pattern Recognition (2001). Google Scholar
  27. 27.
  28. 28.

Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.OFFIS – Institute for Information ScienceOldenburgGermany
  2. 2.University of OldenburgOldenburgGermany

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