TZI Bremen - Trecvid 2006 high level feature extraction
نویسندگان
چکیده
In this paper, the system developed by the University of Bremen for participation in the Trecvid 2006 high-level feature extraction task is presented. Six runs have been submitted, each of them incorporating a different combination of three classifiers based on image, sound, and text features. For the feature Corporate Leader, aboveaverage results could be achieved. Results are shown and differences between the runs are discussed.
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