Bilkent University at TRECVID 2007
2007 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/11693/27128
We describe our fourth participation, that includes two high-level feature extraction runs, and one manual search run, to the TRECVID video retrieval evaluation. All of these runs have used a system trained on the common development collection. Only visual information, consisting of color, texture and edge-based low-level features, was used.
High-level feature extractions