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Results: 318
Number of items: 318
  • Habibian, A., Mensink, T., & Snoek, C. G. M. (2014). VideoStory: A New Multimedia Embedding for Few-Example Recognition and Translation of Events. In MM '14: proceedings of the 2014 ACM Conference on Multimedia: November 3-7, 2014, Orlando, Florida, USA (pp. 17-26). ACM. https://doi.org/10.1145/2647868.2654913
  • Xie, L., Shamma, D. A., & Snoek, C. (2014). Content is Dead ... Long Live Content: The New Age of Multimedia-Hard Problems. IEEE Multimedia, 21(1), 4-8. https://doi.org/10.1109/MMUL.2014.5
  • Habibian, A., & Snoek, C. G. M. (2014). Recommendations for Recognizing Video Events by Concept Vocabularies. Computer Vision and Image Understanding, 124, 110-122. https://doi.org/10.1016/j.cviu.2014.02.003
  • Del Bimbo, A., Candan, K. S., J., Y.-G., Luo, J., Mei, T., Sebe, N., Shen, H. T., Snoek, C. G. M., & Yan, R. (2014). Guest editorial: Special Section on Socio-Mobile Media Analysis and Retrieval. IEEE Transactions on Multimedia, 16(3), 586-587. https://doi.org/10.1109/TMM.2014.2304314
  • Yang, Y., Sebe, N., Snoek, C., Hua, X. S., & Zhuang, Y. (2014). Special Section on Learning from Multiple Evidences for Large Scale Multimedia Analysis: editorial. Computer Vision and Image Understanding, 118, 1. https://doi.org/10.1016/j.cviu.2013.09.001
  • Open Access
    Mensink, T., Gavves, E., & Snoek, C. G. M. (2014). COSTA: Co-Occurrence Statistics for Zero-Shot Classification. In Proceedings: 2014 IEEE Conference on Computer Vision and Pattern Recognition: 23-28 June 2014, Columbus, Ohio (pp. 2441-2448). IEEE Computer Society. https://doi.org/10.1109/CVPR.2014.313
  • Open Access
    Snoek, C. G. M., van de Sande, K. E. A., Fontijne, D., Cappallo, S., van Gemert, J., Habibian, A., Mensink, T., Mettes, P., Tao, R., Koelma, D. C., & Smeulders, A. W. M. (2014). MediaMill at TRECVID 2014: Searching Concepts, Objects, Instances and Events in Video. In 2014 TREC Video Retrieval Evaluation: notebook papers and slides National Institute of Standards and Technology. http://www-nlpir.nist.gov/projects/tvpubs/tv14.papers/mediamill.pdf
  • Open Access
    Myers, G. K., Nallapati, R., van Hout, J., Pancoast, S., Nevatia, R., Sun, C., Habibian, A., Koelma, D. C., van de Sande, K. E. A., Smeulders, A. W. M., & Snoek, C. G. M. (2014). Evaluating Multimedia Features and Fusion for Example-Based Event Detection. Machine Vision and Applications, 25(1), 17-32. https://doi.org/10.1007/s00138-013-0527-8
  • Open Access
    Li, Z., Gavves, E., Mensink, T., & Snoek, C. G. M. (2014). Attributes Make Sense on Segmented Objects. In D. Fleet, T. Pajdla, B. Schiele, & T. Tuytelaars (Eds.), Computer Vision – ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014: proceedings (Vol. VI, pp. 350-365). (Lecture Notes in Computer Science; Vol. 8694). Springer. https://doi.org/10.1007/978-3-319-10599-4_23
  • Open Access
    van Hout, J., Yeh, E., Koelma, D. C., Snoek, C. G. M., Sun, C., Nevatia, R., Wong, J., & Myers, G. K. (2014). Late Fusion and Calibration for Multimedia Event Detection Using Few Examples. In 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 4598-4602). IEEE. https://doi.org/10.1109/ICASSP.2014.6854473
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