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Results: 373
Number of items: 373
  • Snoek, C. G. M., & Worring, M. (2005). Multimodal video indexing: a review of the state-of-the-art. Multimedia Tools and Applications, 25(1), 5-35. https://doi.org/10.1023/B:MTAP.0000046380.27575.a5
  • Snoek, C. G. M., Worring, M., van Gemert, J. C., Geusebroek, J. M., Koelma, D. C., Nguyen, G. P., de Rooij, O., & Seinstra, F. J. (2005). MediaMill: Exploring News Video Archives based on Learned Semantics. In ACM Multimedia
  • Nguyen, G. P., & Worring, M. (2005). Similarity based vizualization of image collections. In Seventh International Workshop of the EU Network of Exellence DELOS on Audio-visual Content and Information Vizualization in Digital Libraries (AVIDILib '05)
  • Nguyen, G. P., & Worring, M. (2005). Scenario optimization for interactive category search. In 7th ACM SIGMM International Workshop on Multimedia Information Retrieval
  • Nguyen, G. P., & Worring, M. (2004). A user-based framework for salient detail extraction. In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME)
  • Nguyen, G. P., & Worring, M. (2004). Optimizing similarity-based visualization in content-based image retrieval. In Proceedings of the IEEE ICME special session Novel Techniques for Browsing in Large Multimedia Collections
  • Nguyen, G. P., & Worring, M. (2004). Optimizing similarity-based visualization in content-based image retrieval. In Proceedings of the 10th Advanced School for Computing and Imaging (ASCI)
  • Hollink, L., Schreiber, A. T., Wielinga, B. J., & Worring, M. (2004). Classification of User Image Descriptions. International Journal of Human-Computer Studies, 61(5), 601-626. https://doi.org/10.1016/j.ijhcs.2004.03.002
  • Open Access
    Patras, I., Worring, M., & van den Boomgaard, R. (2004). Dense motion estimation using regularization constraints on local parametric models. IEEE Transactions on Image Processing, 13(11), 1432-1443. https://doi.org/10.1109/TIP.2004.836179
  • Bagdanov, A. D., & Worring, M. (2004). Multi-scale document description using rectangular granulometries. International Journal on Document Analysis and Recognition, 6(3), 181-191.
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