Bilkent university at TRECVID 2006

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Bilkent university at TRECVID 2006.pdf (1.62 MB)

Date

2006-11

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Source Title

2006 TREC Video Retrieval Evaluation Notebook Papers

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National Institute of Standards and Technology

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English

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Conference Paper

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Abstract

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.

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Keywords

Feature extraction , Edge-based , High-level feature extractions , Interactive search , Low-level features , Speech transcripts , Textual information , Video retrieval , Visual information , Image retrieval

Citation

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http://hdl.handle.net/11693/27258

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Department of Computer Engineering