Publications

Miscellaneous

  1. Svetlana Kordumova, Jan C. van Gemert, Cees G. M. Snoek, and Arnold W. M. Smeulders, "Searching Scenes by Abstracting Things," in ArXive, 2016.
    @INPROCEEDINGS{KordumovaArxive16,
      author = {Svetlana Kordumova and Jan C. van Gemert and Cees G. M. Snoek and Arnold W. M. Smeulders},
      title = {Searching Scenes by Abstracting Things},
      booktitle = {ArXive},
      month = {October},
      year = {2016},
      pages = {},
      pdf = {https://arxiv.org/abs/1610.01801}
    }
  2. Cees G. M. Snoek and Alexander G. Hauptmann, "Learning to Identify TV News Monologues by Style and Context," School of Computer Science, Carnegie Mellon University, CMU-CS-03-193, 2003.
    @TECHREPORT{SnoekCMU03,
      author = {Cees G. M. Snoek and Alexander G. Hauptmann},
      title = {Learning to Identify {TV} News Monologues by Style and Context},
      number = {CMU-CS-03-193},
      institution = {School of Computer Science, Carnegie Mellon University},
      month = {October},
      year = {2003}
    }
  3. Cees G. M. Snoek and Marcel Worring, "Multimedia Event based Video Indexing using Time Intervals," Intelligent Sensory Information Systems, University of Amsterdam, 2003-01, 2003.
    @TECHREPORT{SnoekISIS03,
      author = {Cees G. M. Snoek and Marcel Worring},
      title = {Multimedia Event based Video Indexing using Time Intervals},
      number = {2003-01},
      institution = {Intelligent Sensory Information Systems, University of Amsterdam},
      month = {August},
      year = {2003}
    }
  4. Cees G. M. Snoek and Marcel Worring, "Multimodal Video Indexing: A Review of the State-of-the-art," Intelligent Sensory Information Systems, University of Amsterdam, 2001-20, 2001.
    @TECHREPORT{SnoekISIS01,
      author = {Cees G. M. Snoek and Marcel Worring},
      title = {Multimodal Video Indexing: A Review of the State-of-the-art},
      number = {2001-20},
      institution = {Intelligent Sensory Information Systems, University of Amsterdam},
      month = {December},
      year = {2001}
    }
  5. Cees G. M. Snoek, "Camera Distance Classification: Indexing Video Shots based on Visual Features," Master’s Dissertation , University of Amsterdam, 2000.
    Awarded by the NGI as best computer science masters thesis for the state of North-Holland in 2001.
    @MASTERSTHESIS{SnoekMSC00,
      author = {Cees G. M. Snoek},
      title = {Camera Distance Classification: Indexing Video Shots based on Visual Features},
      month = {October},
      year = {2000},
      school = {University of Amsterdam},
      pdf = {http://isis-data.science.uva.nl/cgmsnoek/pub/mscthesis/mscthesis.pdf},
      abstract = { In this thesis we describe a method that automatically indexes shots from cinematographic video data based on the camera distance used. The proposed method can be used for automatic analysis and interpretation of the meaning of the shot within a video stream, as an assistance tool for video librarians, and as indexing mechanism to be used within a video database system. Three types of camera distance, originating from the art of filming, are distinguished. Based on extracted and evaluated visual features an integrated classification method is proposed and evaluated. It was found that, although discriminative power of some features was limited, classification of cinematographic video based on visual features is possible in the majority of shots. },
      note = {Awarded by the NGI as best computer science masters thesis for the state of North-Holland in 2001.}
    }
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