Skip to main content

Research on Advanced Performance Evaluation of Video Digital Contents

  • Conference paper
  • 1708 Accesses

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 206))

Abstract

The purposes of this study are to present performance evaluation improvements of filtering technology needed for technological protection measures as a means of copyright protection technology of a variety of contents distribution environment and to draw test experiment evaluation results targeting P2P· Web-hard· Torrent service etc. Though the filtering techniques different by contents genre such as a sound source stabilized image· video· text· games· SW etc. have been proposed, this study attempts to propose improved performance evaluation measurement items for performance evaluation of existing video filtering technology, limiting to the field of video. This study attempts to define performance evaluation items of existing filtering such as tenacity and reliability, time taken for feature point extraction and recognition, consistency on providing same results, minimum unit needed for recognition, filtering on random part, accuracy for time information and time precision, media type classification, size of feature information, size of feature DB according to evaluation item by improved evaluation method and to conduct a performance evaluation experimental test for technical measurement against data set needed for evaluation, methods for quantization of evaluation results.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Jonker, H.L.: Security of Digital Rights Management Systems. Master’s technische Universisteit Eindhoven (August 2004)

    Google Scholar 

  2. Schonberg, D.: Fingerprinting and Forensic Analysis of Multimedia, MM 2004, New York, USA (October 2004)

    Google Scholar 

  3. Jean Camp, L.: First Principles of Copyright for DRM Design. In: IEEE Internet Computing. Harvard University, Harvard (2003)

    Google Scholar 

  4. Cohen, J.: DRM and privacy. Berkeley Technol. Law J. 18, 575 (2003)

    Google Scholar 

  5. Fox, B., Brian La Macchia, B.: Encouraging recognition of fair uses in DRM systems. Communication. ACM 46(4), 61–63 (2003)

    Article  Google Scholar 

  6. Burk, D., Cohen, J.: Fair use infrastructure for rights management systems. Harvard J. Law Technol. 15(1), 42–83 (Fall 2001)

    Google Scholar 

  7. Multimedia Content Screening using a Dual Watermarking and Fingerprinting System, Multimedia 2002, December 1-6, p. 251. Juan-les-Pins, France (2002)

    Google Scholar 

  8. Cheng, Y.: Music Database Retrieval Based on Spectral Similarity. In: Haitsma, J., Kalker, T., Oostveen, J. (eds.) International Symposium on Music Information Retrieval (ISMIR) 2001, Robust Audio, Bloomington, USA (October 2001)

    Google Scholar 

  9. Hashing for Content Identification, Content Based Multimedia Indexing 2001, Brescia, Italy (September 2001)

    Google Scholar 

  10. Haitsma, J., Kalker, T., Oostveen, J.: Robust Audio Hashing for Content Identification, In: Content Based Multimedia Indexing 2001, Brescia, Italy (September 2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kim, SH., Aan, BR. (2011). Research on Advanced Performance Evaluation of Video Digital Contents. In: Lee, G., Howard, D., Ślęzak, D. (eds) Convergence and Hybrid Information Technology. ICHIT 2011. Communications in Computer and Information Science, vol 206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24106-2_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-24106-2_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24105-5

  • Online ISBN: 978-3-642-24106-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics