Bilkent University Multimedia Database Group at TRECVID 2008
dc.contributor.author | Küçüktunç, Onur | en_US |
dc.contributor.author | Baştan, Muhammet | en_US |
dc.contributor.author | Güdükkbay, Uğur | en_US |
dc.contributor.author | Ulusoy, Özgür | en_US |
dc.coverage.spatial | Gaithersburg, MD, USA | |
dc.date.accessioned | 2016-02-08T11:39:10Z | |
dc.date.available | 2016-02-08T11:39:10Z | |
dc.date.issued | 2008-11 | en_US |
dc.department | Department of Computer Engineering | en_US |
dc.description | Conference name: TRECVID 2008 workshop participants notebook papers | |
dc.description | Date of Conference: November, 2008 | |
dc.description.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. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T11:39:10Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2008 | en |
dc.identifier.uri | http://hdl.handle.net/11693/26906 | |
dc.language.iso | English | en_US |
dc.publisher | National Institute of Standards and Technology | en_US |
dc.source.title | 2008 TREC Video Retrieval Evaluation Notebook Papers | en_US |
dc.subject | Database systems | en_US |
dc.subject | Feature extraction | en_US |
dc.subject | Content-based copy detections | en_US |
dc.subject | High-level feature extractions | en_US |
dc.subject | Low-level features | en_US |
dc.subject | Multimedia database | en_US |
dc.subject | TRECVID | en_US |
dc.subject | Video database management | en_US |
dc.subject | Visual feature | en_US |
dc.subject | Motion Picture Experts Group standards | en_US |
dc.title | Bilkent University Multimedia Database Group at TRECVID 2008 | en_US |
dc.type | Conference Paper | en_US |
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