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Videotater: an approach for pen-based digital video segmentation and tagging

Published:15 October 2006Publication History

ABSTRACT

The continuous growth of media databases necessitates development of novel visualization and interaction techniques to support management of these collections. We present Videotater, an experimental tool for a Tablet PC that supports the efficient and intuitive navigation, selection, segmentation, and tagging of video. Our veridical representation immediately signals to the user where appropriate segment boundaries should be placed and allows for rapid review and refinement of manually or automatically generated segments. Finally, we explore a distribution of modalities in the interface by using multiple timeline representations, pressure sensing, and a tag painting/erasing metaphor with the pen.

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References

  1. Abowd, G. D., Gauger, M. and Lachenmann, A. The Family Video Archive: an annotation and browsing environment for home movies. 5th ACM SIGMM workshop on Multimedia information retrieval, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Amar, R. and Stasko, J. Knowledge Precepts for Design and Evaluation of Information Visualizations. IEEE Transactions on Visualization and Computer Graphics, 11 (4). 432--442. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Baudisch, P. Using a Painting Metaphor to Rate Large Numbers of Objects Proceedings of HCI International, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Casares, J., Long, A. C., et al. Simplifying video editing using metadata Proceedings of DIS, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Deming, K. and Lank, E., Managing Ambiguous Intention in Mode Inferencing. in AAAI Fall Symposium Series: Making Pen-based Interaction Intelligent and Natural, (2004), 49--54.Google ScholarGoogle Scholar
  6. Elliot, E. and Davenport, G., Video Streamer. in CHI extended abstracts, 65--66. 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Fitzmaurice, G., Khan, A., Piek, R., Buxton, B. and Kurtenbach, G. Tracking menus Proceedings of UIST, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Girgensohn, A., Boreczky, J. et al. A semi-automatic approach to home video editing Proceedings of UIST, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Huynh, D. F., Drucker, S. M., Baudisch, P. and Wong, C. Time quilt: scaling up zoomable photo browsers for large, unstructured photo collections CHI extended abstracts, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Li, Y., Hinckley, K., Guan, Z. and Landay, J. A. Experimental analysis of mode switching techniques in pen-based user interfaces. Proceedings of CHI, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Lienhart, R. Reliable Transition Detection In Videos: A Survey and Practitioner's Guide. International Journal of Image and Graphics (IJIG), 1 (3). 469--486.Google ScholarGoogle Scholar
  12. Mackay, W. E. EVA: an experimental video annotator for symbolic analysis of video data. SIGCHI Bull., 21 (2). 68--71. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Plaisant, C., Carr, D. and Shneiderman, B. Image-Browser Taxonomy and Guidlines for Designers. IEEE Software, 12 (2). 21--32. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Ramos, G. and Balakrishnan, R. Fluid interaction techniques for the control and annotation of digital video Proceedings of UIST, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Ramos, G., Boulos, M. and Balakrishnan, R. Pressure widgets Proceedings of CHI, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Shaw, R. and Davis, M. Toward emergent representations for video Proceedings of ACM Multimedia, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Volkmer, T., Smith, J. R. and Natsev, A. A web-based system for collaborative annotation of large image and video collections: an evaluation and user study Proceedings of ACM Multimedia, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Weber, K. and Poon, A. Marquee: a tool for real-time video logging Proceedings of CHI, 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      UIST '06: Proceedings of the 19th annual ACM symposium on User interface software and technology
      October 2006
      354 pages
      ISBN:1595933131
      DOI:10.1145/1166253

      Copyright © 2006 ACM

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      • Published: 15 October 2006

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