Multimedia for Cultural Heritage pp 206-216 | Cite as
Multimedia for Cultural Heritage: Key Issues
Conference paper
Abstract
Multimedia technologies have recently created the conditions for a true revolution in the Cultural Heritage domain, particularly in reference to the study, exploitation, and fruition of artistic works. New opportunities are arising for researchers in the field of multimedia to share their research results with people coming from the field of art and culture, and viceversa. This paper gathers together opinions and ideas shared during the final discussion session at the 1st International Workshop on Multimedia for Cultural Heritage, as a summary of the problems and possible directions to solve to them.
Keywords
Cultural Heritage Cultural Resource Multimedia System Multimedia Technology Digital Preservation
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.
Preview
Unable to display preview. Download preview PDF.
References
- 1.DigiCult: Expanding the use of Europe’s cultural and scientific resources (2011), http://cordis.europa.eu/fp7/ict/telearn-digicult/digicult_en.html
- 2.Elgammal, A.: Human-centered multimedia: representations and challenges. In: ACM International Workshop on Human-Centered Multimedia, pp. 11–18 (2006)Google Scholar
- 3.Müller, H., Müller, W., Squire, D.M., Marchand-Maillet, S., Pun, T.: Performance evaluation in content-based image retrieval: overview and proposals. Pattern Recognition Letters 22(5), 593–601 (2001)CrossRefMATHGoogle Scholar
- 4.Jaimes, A., Gatica-Perez, D., Sebe, N., Huang, T.: Guest editors’ introduction: Human-centered computing–toward a human revolution. Computer 40(5), 30–34 (2007)CrossRefGoogle Scholar
- 5.Sebe, N.: Multimodal interfaces: Challenges and perspectives. Journal of Ambient Intelligence and Smart Environments 1, 23–30 (2009)Google Scholar
- 6.Alisi, T.M., D’Amico, G., Ferracani, A., Landucci, L., Torpei, N.: Natural interaction for cultural heritage: the archaeological site of shawbak. In: ACM Multimed. (2010)Google Scholar
- 7.Colombo, C., Del Bimbo, A., Valli, A.: Visual capture and understanding of hand pointing actions in a 3-d environment. IEEE Transactions on Systems Man and Cybernetics-B 33(4), 677–686 (2003)CrossRefGoogle Scholar
- 8.Grana, C., Borghesani, D., Cucchiara, R.: Surfing on artistic documents with visually assisted tagging. In: Proceedings of the ACM International Conference on Multimedia, Florence, Italy, pp. 1343–1352 (October 2010)Google Scholar
- 9.Seidenari, S., Pellacani, G., Grana, C.: Computer description of colours in dermoscopic melanocytic lesion images reproducing clinical assessment. British Journal of Dermatology 149(3), 523–529 (2003)CrossRefGoogle Scholar
- 10.Grana, C., Borghesani, D., Cucchiara, R.: Optimized block-based connected components labeling with decision trees. IEEE Transactions on Image Processing 19(6), 1596–1609 (2010)MathSciNetCrossRefGoogle Scholar
- 11.Agosti, M., Crivellari, F., Di Nunzio, G.M.: Web log analysis: a review of a decade of studies about information acquisition, inspection and interpretation of user interaction. Data Mining and Knowledge Discovery, 1–34 (2011) Google Scholar
- 12.Agosti, M., Mariani Canova, G., Orio, N., Ponchia, C.: Methods of personalising a collection of images using linking annotations. In: Proceedings of the First Workshop on Personalised Multilingual Hypertext Retrieval (PMHR 2011), in conjunction with the ACM Hypertext 2011 Conference, pp. 10–17 (2011) Google Scholar
- 13.Agosti, M., Ferro, N., Frommholz, I., Thiel, U.: Annotations in Digital Libraries and Collaboratories Facets, Models and Usage. In: Heery, R., Lyon, L. (eds.) ECDL 2004. LNCS, vol. 3232, pp. 244–255. Springer, Heidelberg (2004)CrossRefGoogle Scholar
- 14.Datta, R., Joshi, D., Li, J., Wang, J.Z.: Image retrieval: Ideas, influences, and trends of the new age. ACM Computer Surveys 40(2), 1–60 (2008)CrossRefGoogle Scholar
- 15.Hurtut, T.: 2d artistic images analysis, a content-based survey. Technical report, Laboratoire d’Informatique PAris DEscartes - LIPADE - Université Paris Descartes (2011)Google Scholar
- 16.Uijlings, J.R.R., Smeulders, A.W.M., Scha, R.J.H.: Real-Time Bag of Words, Approximately. In: ACM International Conference on Image and Video Retrieval (2009)Google Scholar
- 17.van de Sande, K.E.A., Gevers, T., Snoek, C.G.M.: Evaluating color descriptors for object and scene recognition. IEEE T. Pattern Anal. 32(9), 1582–1596 (2010)CrossRefGoogle Scholar
- 18.Torralba, A., Fergus, R., Weiss, Y.: Small codes and large image databases for recognition. In: IEEE International Conference on Computer Vision and Pattern Recognition, pp. 1–8 (August 2008)Google Scholar
- 19.Jégou, H., Douze, M., Schmid, C.: Product quantization for nearest neighbor search. IEEE T. Pattern Anal. 33(1), 117–128 (2011)CrossRefGoogle Scholar
- 20.Datta, R., Ge, W., Li, J., Wang, J.Z.: Toward bridging the annotation-retrieval gap in image search by a generative modeling approach. In: ACM Multimedia, pp. 977–986 (2006)Google Scholar
Copyright information
© Springer-Verlag Berlin Heidelberg 2012