Bilkent university at TRECVID 2006
2006 TREC Video Retrieval Evaluation Notebook Papers
National Institute of Standards and Technology
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Please cite this item using this persistent URLhttp://hdl.handle.net/11693/27258
We describe our third participation, that includes one high-level feature extraction run, and two manual and one interactive search runs, to the TRECVID video retrieval evaluation. All of these runs have used a system trained on the common development collection. Only visual and textual information were used where visual information consisted of color, texture and edge-based low-level features and textual information consisted of the speech transcript provided in the collection.