Skip to main content

Behind the Image Sequence: The Semantics of Moving Shapes

  • Conference paper
  • First Online:
Visual Form 2001 (IWVF 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2059))

Included in the following conference series:

Abstract

The paper describes a method for analysing a sequence of images by building static images, representing the environment on which shapes move. From the background and moving objects it is possible to reconstruct the original image sequence as well as to generate new ones. The analysis uses a linguistic interface that allows to express the semantics of video's. Both background and movement analysis allows to extract the shapes contained in a video. The description of video shapes and of their spatiotemporal properties is performed by a Prolog program; so the program using facts describes the Syntax of the video’s, while the layout of predicates contains the description of the semantics. Then the content of a ‘video-base’ may be extracted: the approach uses a prototype film, whose description is used as a dynamic query for automatic extraction of other film semantics.

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

Access this chapter

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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. F. Ackermann, M. Hahn: Image Pyramids for Digital Photogrammetry-Digital Photogrammetric Systems-Wichmann Ed.-43–57, Stuttgart

    Google Scholar 

  2. Anil K. Jain: Fundamentals of Digital image Processing-Cap. 9 Image Analysis and Computer Vision — Ed. Prentice Hall Information and System Sciences Series

    Google Scholar 

  3. R. Bergen, P.J. Burt: A Three-Frame Algorithm for Estimating Two-Component Image Motion-IEEE Transaction on Pattern Analysis and Machine Intelligence-V14 N9 886–896 (1992)

    Article  Google Scholar 

  4. M. De Marsicoi, L. Cinque, S. Levialdi: Indexing pictorial documents by their content: a survey of current techniques-Image and Vision Computing-V.15, 119–141 (1997).

    Article  Google Scholar 

  5. P.R. Giaccone. G.A. Jones: Segmentation of Global Motion using Temporal Probabilistic Classification — BMVC’ 98

    Google Scholar 

  6. E. Gülch: Automatic Extraction of Geometric Features from Digital Imagery — Digital Photogrammetric System-Ebner, Fritsch, Heipke Ed., Wichmann

    Google Scholar 

  7. Harpreet S. Sawhney, Serge Ayer: Compact Representations of Video Through Dominant and Multiple Motion Estimation-IEEE Transactions On Pattern Analisys and Machine Intelligence-Vol. 18, N. 8 (1996).

    Google Scholar 

  8. B.K.P. Horn, B.F. Schunck: Determinig Optical Flow — Artificial Intelligence, V17, 185–203 (1981).

    Article  Google Scholar 

  9. M. Irani, P. Anadan, J. Bergen, R. Kumar, S. Hsu: Efficient Representations of Video Sequences and Their Applications-Signal Processing: image Communication, V8 N4 (1996).

    Google Scholar 

  10. M. Irani, P. Anandan: Video Indexing Based on Mosaic Representations-Proceedings of IEEE, may 1998

    Google Scholar 

  11. M. Irani, Benny Rousso, Shmuel Peleg: Computing Occluding and Trasparent Motions — International Journal of Computer Vision, V12, 5–16 (1994).

    Article  Google Scholar 

  12. Ramesh Jain, Rangachar Kasturi, Brian G. Schunck: Machine Vision-Cap.14-Dynamic Vision;-Mc Graw Hill Series in Computer Science.

    Google Scholar 

  13. Rob Koenen: MPEG-4 Overview-(Melbourne Version)--International Organisation for Standardisation ISO/IEC JTC1/SC29/WG11 Coding of Moving Pictures and Audio ISO/IEC JTC1/SC29/WG11 N2995-October 1999

    Google Scholar 

  14. Rob Koenen: MPEG-7: Context, Objectives and Technical Radmap, V.12-(Vancouver Version)--International Organization for Standardization ISO/IEC JTC1/SC29/WG11 Coding of Moving Pictures and Audio ISO/IEC JTC1/SC29/WG11 N2861-July 1999

    Google Scholar 

  15. Emile Sahouria: Video Indexing Based on Object Motion — May 1997-WWW

    Google Scholar 

  16. J. Shi, C. Tomasi: Good Features to Track — IEEE Conference on Computer Vision and Pattern Recognition-Seattle 1994 June

    Google Scholar 

  17. S. M. Smith: Reviews of Optical Flow, Motion segmentation, Edge finding and Corner Finding — Technical Report TR97SMS1-Oxford University (1997).

    Google Scholar 

  18. T. Tommasini, A. Fusiello, V. Roberto: Robust Feature Tracking — Dipartimento di Matematica e Informatica Università di Udine

    Google Scholar 

  19. R.C. Gonzales, R.E. Woods: Digital Image Processing — Ed. Addison Wesley Publishing Company

    Google Scholar 

  20. Newman Sproull: Principles of Interactive Computer Graphics 2° Edition — Computer Science Series

    Google Scholar 

  21. J.Y.A. Wang, E.H. Adelson: Representing Moving Image with Layers-IEEE Transaction on Image Processing, Special Issue: Image Sequence Compression-V3 N5, 625–638 (1994).

    Google Scholar 

  22. Han Wang, Michael Brady: Real-time corner detection algorithm for motion estimation — Image and Vision Computing-V13 N9, 695–703 (1995).

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tascini, G., Montesanto, A., Palombo, R., Puliti, P. (2001). Behind the Image Sequence: The Semantics of Moving Shapes. In: Arcelli, C., Cordella, L.P., di Baja, G.S. (eds) Visual Form 2001. IWVF 2001. Lecture Notes in Computer Science, vol 2059. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45129-3_57

Download citation

  • DOI: https://doi.org/10.1007/3-540-45129-3_57

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42120-7

  • Online ISBN: 978-3-540-45129-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics