Search results

    Filter results

  • Full text

  • Document type

  • Publication year

  • Organisation

Results: 121
Number of items: 121
  • Seinstra, F. J., Snoek, C. G. M., Koelma, D. C., Geusebroek, J. M., & Worring, M. (2005). User Transparent Parallel Processing of the 2004 NIST TRECVID Data Set. In 19th International Parallel and Distributed Processing Symposium
  • Geusebroek, J. M. (2005). The stochastic structure of images. Lecture Notes in Computer Science, 327-338.
  • Geusebroek, J. M., Burghouts, G. J., & Smeulders, A. W. M. (2005). The Amsterdam Library of Object Images. International Journal of Computer Vision, 61(1), 103-112. https://doi.org/10.1023/B:VISI.0000042993.50813.60
  • Hoang, M. A., Geusebroek, J. M., & Smeulders, A. W. M. (2005). Color texture measurement and segmentation. Signal Processing, 85(2), 265-275. https://doi.org/10.1016/j.sigpro.2004.10.009
  • Geusebroek, J. M., & Smeulders, A. W. M. (2005). A six-stimulus theory for stochastic texture. International Journal of Computer Vision, 62((1/2)), 7-16. https://doi.org/10.1023/B:VISI.0000046586.95219.e7
  • Snoek, C. G. M., Worring, M., Geusebroek, J. M., Koelma, D. C., & Seinstra, F. J. (2005). NIST Special Publication. In Proceedings of the 2nd TREVID Workshop
  • Geusebroek, J. M. (2005). Early cognitive computer vision. In M. V. Zelkowitz (Ed.), Advances in Computers Elsevier Science.
  • Snoek, C. G. M., Worring, M., Geusebroek, J. M., Koelma, D. C., & Seinstra, F. J. (2005). On the Surplus Value of Semantic Video Analysis Beyond the Key Frame. In IEEE International Conference on Multimedia & Expo
  • Snoek, C. G. M., van Gemert, J. C., Geusebroek, J. M., Huurnink, B., Koelma, D. C., Nguyen, G. P., de Rooij, O., Seinstra, F. J., Smeulders, A. W. M., Veenman, C. J., & Worring, M. (2005). The MediaMill trecvid 2005 semantic video engine. In Proceedings of the 3rd TRECVID Workshop (pp. 225-226). NIST.
  • Geusebroek, J. M., Burghouts, G. J., van Gemert, J. C., & Smeulders, A. W. M. (2005). Invariant representations to prepare for content based image retrieval from first principles. In R. Veltkamp (Ed.), Trends and Advances in Content-Based Image and Video Retrieval Springer-Verlag.
Page 6 of 13