An Engine for Content-Aware On-Line Video Adaptation

  • Luis Herranz
  • Fabricio Tiburzi
  • Jesús Bescós
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4306)

Abstract

In this paper we show a practical implementation of an adaptation engine based on content inspection of video material. The localization of domain independent hints or features that allow to infer the non homogeneous distribution of semantically relevant information, allows to dramatically reduce the amount of adapted data while maintaining the meaningful information. The extraction of these features is performed on-line, via techniques that operate on the compressed domain, following an abstraction model that allows transparent adaptation of DCT based video and wavelets based scalable video.

Keywords

video summarizarion slideshows storyboards video analysis 

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References

  1. 1.
    Vetro, A., Christopoulos, C., Sun, H.: Video Transcoding Architectures and Techniques: An Overview. IEEE Signal Processing Magazine 20(2) (March 2003)Google Scholar
  2. 2.
    Devillers, S., Timmerer, C., Heuer, J., Hellwagner, H.: Bitstream Syntax Description-Based Adaptation in Streaming and Constrained Environments. IEEE Transactions on MM 7(3) (June 2005)Google Scholar
  3. 3.
    Vetro, Sun, H., Wang, Y.: Object-Based Transcoding for Adaptable Video Content Delivery. IEEE Transactions on CSVT 11(3) (March 2001)Google Scholar
  4. 4.
    Cavallaro, Steiger, O., Ebrahimi, T.: Semantic Video Análisis for Adapted Content Delivery and Automatic Descriptions. IEEE Transactions on CSVT 15(10) (October 2005)Google Scholar
  5. 5.
    Martínez, J.M., Valdés, V., Bescós, J., Herranz, L.: Introducing CAIN: a Metadata-driven Content Adaptation Manager Integrating Heterogeneous Content Adaptation Tools. In: Proc. 6th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2005, Montreux, Switzerland (April 2005)Google Scholar
  6. 6.
    Ohm, J.R.: Advances in Scalable Video Coding. Proc. of the IEEE 93(1) (January 2005)Google Scholar
  7. 7.
    Sprljan, N., Mrak, M., Abhayaratne, G.C.K., Izquierdo, E.: A Scalable Coding Framework For Efficient Video Adaptation. In: Proc. 6th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2005, Montreux, Switzerland (April 2005)Google Scholar
  8. 8.
    ISO/IEC 21000-7, Information Technology – Multimedia Frameworks – Part 7: Digital Item Adaptation Google Scholar
  9. 9.
    Chan, M., Yu, Y., Constantinides, A.: Variable size block matching motion compensation with applications to video coding. Proc. Inst. Elect. Eng., pt. I 137(4), 205–212 (1990)Google Scholar
  10. 10.
    Information Technology – JPEG 2000 Image Coding System – Part 1: Core Coding System, ISO/IEC 15 444-1:2000 (2000)Google Scholar
  11. 11.
    Yeo, Liu, B.: Rapid Scene Analysis on Compressed Videos. IEEE Trans. on Circuits and Systems for Video Technology 5(6), 533–544 (1995)CrossRefGoogle Scholar
  12. 12.
    Jamrozik, M.L., Hayes, M.H.: A Compressed Domain Video Object Segmentation System. In: Proc. International Conference on Image Processing, ICIP 2002 (September 2002)Google Scholar
  13. 13.
    Herranz, L., Bescós, J.: Reliability based optical flow estimation from mpeg compressed data. In: Proc. International Workshop on Very Low Bit-rate Video, Sardinia (September 2005)Google Scholar
  14. 14.
    Herranz, L., Tiburzi, F., Bescós, J.: Extraction of Motion Activity from Scalable-Coded Video Sequences. In: Avrithis, Y., Kompatsiaris, Y., Staab, S., O’Connor, N.E. (eds.) SAMT 2006. LNCS, vol. 4306, pp. 148–158. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  15. 15.
    Bescós, J.: Real-time Shot Change Detection over On-line MPEG-2 Video. IEEE Transactions on CSVT 14(4), 475–484 (2004)Google Scholar
  16. 16.
    Divakaran, Radhakrishnan, R., Peker, K.A.: Motion activity-based extraction of key-frames from video shots. In: Proc. International Conference on Image Processing, ICIP 2002, September 2002, vol. (1), pp. 149–152 (2002)Google Scholar
  17. 17.
    ISO/IEC 15938-3: 2002 Information technology. Multimedia content description interface – MPEG-7 Part 3: Visual Google Scholar
  18. 18.
    Mezaris, V., Kompatsiaris, I., Boulgouris, N., Strintzis, M.: Real-Time Compressed-Domain Spationtemporal Segmentation and Ontologies for Video Indexing and Retrieval. IEEE Transactions on CSV (May 2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Luis Herranz
    • 1
  • Fabricio Tiburzi
    • 1
  • Jesús Bescós
    • 1
  1. 1.Grupo de Tratamiento de Imágenes, Escuela Politécnica SuperiorUniversidad Autónoma de MadridMadridSpain

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