Skip to main content
SpringerLink
Log in

Searching for Flash Movies on the Web: A Content and Context Based Framework

  • Published:
World Wide Web Aims and scope Submit manuscript

Abstract

The phenomenal growth of online Flash movies in recent years has made Flash one of the most prevalent media formats on the Web. The retrieval and management issues of Flash, vital to the utilization of the enormous Flash resource, are unfortunately overlooked by the research community. This paper presents the first piece of work (to the best of our knowledge) in this domain by suggesting an integrated framework for the retrieval of Flash movies based on their content characteristics as well as contextual information. The proposed approach consists of two major components: (1) a content-based retrieval component, which explores the characteristics of Flash movie content at compositional and semantic levels; and (2) a context-based retrieval component, which explores the contextual information including the texts and hyperlinks surrounding the movies. An experimental Flash search engine system has been implemented to demonstrate the feasibility of the suggested framework.

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.

Similar content being viewed by others

References

  1. S. Adali, M. L. Sapino, and V. S. Subrahmanian, “An algebra for creating and querying multimedia presentations,” ACM Multimedia Systems 8(3), 2000, 212–230.

    Google Scholar 

  2. S. Brin and L. Page, “The anatomy of a large-scale hypertextual web search engine.” in Proc. of the 7th Int. World Wide Web Conf., 1998, pp. 107–117.

  3. S. K. Chang, Q. Y. Shi, and C. Y. Yan, “Iconic indexing by 2-D strings,” IEEE Tran. Pattern Anal. Machine Intell. 9(3), 1987, 413–428.

    Google Scholar 

  4. S. F. Chang, W. Chen, H. J. Meng, H. Sundaram, and D. Zhong, “VideoQ: An automated content based video search system using visual cues,” in Proc. ACM Int. Multimedia Conf., 1997, pp. 313–324.

  5. D. W. Ding, J. Yang, Q. Li, L. P. Wang, and W. Y. Liu, “Towards a flash search engine based on expressive semantics,” in Proc. of 13th Int'l Conf. on World Wide Web, 2004, pp. 472–473.

  6. D. W. Ding, J. Yang, Q. Li, L. P. Wang, and W. Y. Liu, “Automatic detection of flash movie genre using bayesian approach” in Proc. of IEEE Int’l Conference on Multimedia and Expo (ICME), Taipei, Tawan, 2004 (CDROM).

  7. Ditto image search engine http://www.ditto.com

  8. R. Elmasri and B. Navathe, Fundamentals of Database Systems, 2nd Edition. The Benjamin/Cummings Publishing Company, Inc., Redwood City, CA, 1994.

    MATH  Google Scholar 

  9. Extensible Markup Language (XML) http://www.w3.org/XML/

  10. Flash Kit http://www.flashkit.com/index.shtml

  11. J. Foote, “An overview of audio information retrieval,” ACM Multimedia Systems 7, 1999, 2–10.

    Google Scholar 

  12. Google http://www.google.com

  13. V. N. Gudivada and Raghavan, “Design and evaluation of algorithms for image retrieval by spatial similarity,” ACM Trans. Information Systems 13(2), 1995.

  14. JavaSWF. http://www.anotherbigidea.com/javaswf/

  15. R. Lempel and A. Soffer, “PicASHOW: Pictorial authority search by hyperlinks on the web,” in Proc. 10th Int. World Wide Web Conf., 2001, pp. 438–448.

  16. Macromedia, Inc., http://www.macromedia.com

  17. Macromedia Flash Player adoption statistics http://www.macromedia.com/software/player_census/flashplayer

  18. Macromedia Flash File Format (SDK). http://www.macromedia.com/software/flash/open/licensing/fileformat/

  19. G. Ozsoyoglu and R. Snodgrass, “Temporal and real-time databases: A survey,” IEEE Trans. on Knowledge and Data Engineering 7(4), 1995, 513–532.

    Google Scholar 

  20. Y. Rui, T. Huang and S. Chang, “Image retrieval: current techniques, promising directions and open issues,” Journal of Visual Communication and Image Representation 10, 1999, 1–23

    Article  Google Scholar 

  21. G. Salton, and M. J. McGill, Introduction to Modern Information Retrieval. McGraw-Hill Book Company, 1983.

  22. H. Samet, “The quadtree and related hierarchical data structures,” ACM Computing Surveys 16(2), 1984, 187–260.

    Article  MathSciNet  Google Scholar 

  23. J. R. Smith, and S. F. Chang, “Visually searching the web for content,” IEEE Multimedia Magazine 4(3), 1997, 12–20.

    Article  Google Scholar 

  24. S. W. Smoliar and H. J. Zhang, “Content based video indexing and retrieval,” IEEE Multimedia 1, 1994, 62–72.

    Article  Google Scholar 

  25. Synchronized Multimedia Integration Language (SMIL) http://www.w3.org/AudioVideo/

  26. J. Yang, Q. Li, W. Y. Liu, and Y. T. Zhuang, “Search for flash movies on the web,” Prof. of the 3rd Int'l Conf. on Web Information Systems Engineering, Workshop on Mining for Enhanced Web Search, Singapore, 2002.

  27. J. Zhai, J. Yang, Q. Li, Liu W. Y., and B. Feng. “Rich media retrieval on the web—A multi-level indexing approach,” in Proc. of 12th Int'l World Wide Web Conf., 20–24 May 2003, Budapest, Hungary.

Download references

Author information

Authors and Affiliations

  1. Department of Computer Engineering and Information Technology, City University of Hong Kong, HKSAR, China

    Jun Yang & Qing Li

  2. Department of Computer Science and Engineering, Zhejiang University, Hangzhou, China, 310027

    Jun Yang & Yueting Zhuang

  3. Department of Computer Science, City University of Hong Kong, HKSAR, China

    Liu Wenyin

Authors
  1. Jun Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Qing Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Liu Wenyin
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yueting Zhuang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jun Yang.

Additional information

The work described in this paper was supported substantially by a grant (Project No. 7001457), and partially by another grant (Project No. 7001564), both from CityU of Hong Kong.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yang, J., Li, Q., Wenyin, L. et al. Searching for Flash Movies on the Web: A Content and Context Based Framework. World Wide Web 8, 495–517 (2005). https://doi.org/10.1007/s11280-005-0905-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11280-005-0905-x

Keywords

Search

Navigation