Bilkent University Multimedia Database Group at TRECVID 2008

Date

2008-11

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Abstract

Bilkent University Multimedia Database Group (BILMDG) participated in two tasks at TRECVID 2008: content-based copy detection (CBCD) and high-level feature extraction (FE). Mostly MPEG-7 [1] visual features, which are also used as low-level features in our MPEG-7 compliant video database management system, are extracted for these tasks. This paper discusses our approaches in each task.

Source Title

2008 TREC Video Retrieval Evaluation Notebook Papers

Publisher

National Institute of Standards and Technology

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Keywords

Database systems, Feature extraction, Content-based copy detections, High-level feature extractions, Low-level features, Multimedia database, TRECVID, Video database management, Visual feature, Motion Picture Experts Group standards

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Citation

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http://hdl.handle.net/11693/26906

Published Version (Please cite this version)

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Scholarly Publications - Computer Engineering

Language

English

Type

Conference Paper