Skip to main content
SpringerLink
Log in

The art of video MashUp: supporting creative users with an innovative and smart application

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

In this paper, we describe the development of a new and innovative tool of video mashup. This application is an easy to use tool of video editing integrated in a cross-media platform; it works taking the information from a repository of videos and puts into action a process of semi-automatic editing supporting users in the production of video mashup. Doing so it gives vent to their creative side without them being forced to learn how to use a complicated and unlikely new technology. The users will be further helped in building their own editing by the intelligent system working behind the tool: it combines semantic annotation (tags and comments by users), low level features (gradient of color, texture and movements) and high level features (general data distinguishing a movie: actors, director, year of production, etc.) to furnish a pre-elaborated editing users can modify in a very simple way.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Notes

  1. A shooting is an audiovisual segment of changeable duration

  2. A full length video is a full motion picture inserted in the repository by an editing office.

  3. Clip can be considered as video units that is audiovisual segments of different duration extracted from a full length video, automatically or manually. Consequently, a clip can be a content uploaded by users, but even Logical Story Units or single shots automatically extracted.

References

  1. Adami N, Leonardi R (1999) Identification of editing effect in image sequences by statistical modeling, in Proceedings of Picture Coding Symposium PCS ’99, Portland, Oregon, USA, pp 157–160

  2. Aimeri L, Frasca G (2002) Manuale dei Generi cinematografici. Utet, Torino

    Google Scholar 

  3. Anderson C (ed.) (2005) Remix planet. Wired Issue 13.07.05.

  4. Askwith ID (2007) Television 2.0: Reconceptualizing TV as an Engagement Medium. Masters thesis of Science in Comparative Media Studies at MIT

  5. Benini S, Bianchetti A, Leonardi R, Migliorati P (2006) Extraction of significant video summaries by Dendrogram Analysis. In Proceedings of International Conference on Image Processing ICIP’06, Atlanta, GA, USA

  6. Benini S, Migliorati P, Leonardi R (2008) Fast dialogue indexing based on structure information. In Proceedings of ICIP’08, San Diego, CA, USA

  7. Benini S, Xu L-Q, Leonardi R (2005) Identifying video content consistency by vector quantization. In Proceedings of WIAMIS’05, Montreux, Switzerland

  8. Bocconi S (2004) Semantic-aware automatic video editing. In Proceedings of the 12th Annual ACM International Conference on Multimedia, ACM, New York, NY, USA

  9. Bordwell D (1997) On the history of film style. Harvard University Press, Cambridge

    Google Scholar 

  10. Bordwell D, Thompson K (1994) Film history: an introduction. McGraw-Hill, New York

    Google Scholar 

  11. Bordwell D, Thompson K (2003) Film art: an introduction, 7th edn. McGraw-Hill, New York

    Google Scholar 

  12. Brusilovsky P (1996) Methods and techniques of adaptive hypermedia. User Model User-Adapt Interact 6(2–3):87–129

    Article  Google Scholar 

  13. Casares J, Yocum D, Stevens S, Myers BA, Long C, Dabbish L, Corbett A, Bhatnagar R (2002) Simplifying Video Editing Using Metadata. In Proceedings of ACM Conference on Designing Interactive Systems: Processes, Practices, Methods and Techniques (DIS 2002)

  14. Casetti F, Di Chio F (1990) Analisi del film. Bompiani, Roma

    Google Scholar 

  15. Cassani D (2006) Manuale del montaggio. Utet, Torino

    Google Scholar 

  16. Center of Social Media (2008) Recut, reframe, recycle. Quoting Copyrighted material in User-Generated Video. http://www.totalrecut.com/CSM_Recut_Reframe_Recycle_report.pdf

  17. Cotsaces C, Nikolaidis N, Pitas I (2006) Video shot detection and condensed representation. IEEE Signal Process Mag 23:28–27

    Article  Google Scholar 

  18. Diakopoulos N, Luther K, Medynskiy Y, Essa I (2007) The evolution of authorship in a remix society. In Proceedings of Hypertext and Hypermedia. Manchester, UK, September 2007

  19. Forlai L, Bruni A (1998) Archetipi mitici e generi cinematografici. Audino, Roma

    Google Scholar 

  20. Gallagher O (2008) “Video recuts and the remix revolution: whose rights are being infringed?” The Development of an Online Remix Community known as Total Recut http://www.totalrecut.com/masters.doc

  21. Giest M (2007) The rise of clip culture online. BBC News

  22. Girgensohn A, Boreczky JS, Chiu P, Doherty J, Foote J, Golovchinsky G, Uchihashi, S, Wilcox L (2000) A semi-automatic approach to home video editing. In Proceedings of UIST 2000

  23. Hanjalic A, Lagendijk RL, Biemond J (1999) Automated high-level movie segmentation for advanced video retrieval systems. IEEE Trans Circuits Syst on Video Technology 9

  24. Hua X, Wang Z, Li S (2005) LazyCut: content-aware template-based video authoring. In proceedings of ACM Multimedia 2005

  25. Hua X, Lu L, Zhang H (2004) Optimization-based automated home video editing system. IEEE Trans Circuits Syst Video Technol 14(5):572–583

    Article  Google Scholar 

  26. Jeannin S, Divakaran A (2001) Mpeg-7 visual motion descriptors. IEEE Transactions on Circuits and Systems for Video Technology 11(6):720–724

    Google Scholar 

  27. Jenkins H (2006) Convergence culture: where old and new media collide. New York University Press, New York, 2006a

    Google Scholar 

  28. Kuleshov L (1974) Kuleshov on film: writings by Lev Kuleshov. University of California Press, Berkeley

    Google Scholar 

  29. Kumano M, Ariki Y (2002) Automatic useful shot extraction for a video editing support system. In Proceedings of MVA 2002:310–313

  30. Lévi-Strauss C ([1962] 1974) The savage mind. London: Weidenfeld & Nicolson

  31. Moine R (2005) I generi del cinema. Lindau, Torino

    Google Scholar 

  32. Mu X, Marchionini G (2003a) Enriched video semantic metadata: authorization, integration and presentation. In Proceedings of the 66th Annual Meeting of the American Society for Information Science and Technology 40:316–322

  33. Mu X, Marchionini G (2003b) Statistical visual feature indexes in video retrieval. In Proceedings of SIGIR 2003

  34. Peng WT, Chiang YH, Chu WT, Huang WJ, Chang WL, Huang WJ, Hung YP (2008) Aesthetics-based automatic home video skimming system. In Proceedings of International Multimedia Modeling Conference, 2008

  35. Rondolino G, Tomasi D (1995) Manuale del film. Linguaggio, racconto, analisi. Utet, Torino

    Google Scholar 

  36. Schwarz K, Kouwenhoven T, Dignum V, van Ossenbruggen J (2005) Supporting the decision process for the choice of a domain modeling scheme. In Formal Ontologies Meet Industry

  37. Shaw R, Schmitz P (2006) Community annotation and remix: a research platform and pilot deployment In ACM Multimedia 2006, Oct. 23–27, Santa Barbara, CA

  38. Simeoni R, Etzler L, Guercio E, Perrero M, Rapp A, Montanari R, Tesauri F (2007) InnovativeTV: from an old standard to a new concept of Interactive TV—an Italian job. In: Jacko JA (ed) HCI 2007. LNCS, vol 4552. Springer, Heidelberg, pp 971–980

    Google Scholar 

  39. Simeoni R, Geymonat G, Guercio E, Perrero M, Rapp A, Tesauri F, Montanari R (2008) Where have you ended up today?—Dynamic TV and the Inter-tainment Paradigm, Proc. EuroITV 2008 Conference, Springer Verlag LNCS 5066, pp 238–247

  40. Stefik M (1995) Introduction to knowledge system. Morgan Kaufmann, San Francisco

    Google Scholar 

  41. Tomasi D (2004) Lezioni di regia. Modelli e forme della messinscena cinematografica. Utet, Torino

    Google Scholar 

  42. Tomasino R (1998) Figure dell’immaginario. Cento anni di mitologie del cinema. L’epos, Palermo

    Google Scholar 

  43. Vellar A, Simeoni R, Montanari R, Rapp A (2008) A parasocial navigation concept for movie discovery. In Proceeding of IADIS International. Conference Interfaces and Human Computer Interaction 2008

  44. Wang J, Xu C, Siong C, Duan L, Wan K, Tian Q (2005) Automatic generation of personalized music sports video. In Proceedings of ACM Multimedia 2005

  45. Zeng W, Gao W, Zeng DZ (2002) Video indexing by motion activity maps In Proceedings of ICIP 2002, I-912-I-915 vol. 1, Rochester, NY, USA

Download references

Acknowledgements

Many thanks go to Francini Gianluca and Lepsoy Skjalg for their basic contribution to this work.

Author information

Authors and Affiliations

  1. Department of Computer Science, University of Turin, Turin, Italy

    Daniela Cardillo & Luca Console

  2. Telecom Italia, University of Turin “Progetto Lagrange—Fondazione C.R.T.”, Turin, Italy

    Amon Rapp & Elena Guercio

  3. University of Brescia, Brescia, Italy

    Sergio Benini & Riccardo Leonardi

  4. Research and Trends, Telecom Italia Lab, Turin, Italy

    Rossana Simeoni

Authors
  1. Daniela Cardillo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Amon Rapp
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sergio Benini
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Luca Console
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Rossana Simeoni
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Elena Guercio
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Riccardo Leonardi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Daniela Cardillo.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Cardillo, D., Rapp, A., Benini, S. et al. The art of video MashUp: supporting creative users with an innovative and smart application. Multimed Tools Appl 53, 1–23 (2011). https://doi.org/10.1007/s11042-009-0449-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-009-0449-7

Keywords

Search

Navigation