Metadata extraction from text in soccer domain
dc.contributor.author | Göktürk, Z. O. | en_US |
dc.contributor.author | Çiçekli, N. K. | en_US |
dc.contributor.author | Çiçekli, İlyas | en_US |
dc.coverage.spatial | Istanbul, Turkey | |
dc.date.accessioned | 2016-02-08T11:35:40Z | |
dc.date.available | 2016-02-08T11:35:40Z | |
dc.date.issued | 2008-10 | en_US |
dc.department | Department of Computer Engineering | en_US |
dc.description | Conference name: 23rd International Symposium on Computer and Information Sciences, 2008 | |
dc.description | Date of Conference: 27-29 Oct. 2008 | |
dc.description.abstract | Event detection is a crucial part for soccer video searching and querying. The event detection could be done by video content itself or from a structured or semi structured text files gathered from sports web sites. In this paper, we present an approach of metadata extraction from match reports for soccer domain. The UEFA Cup and UEFA Champions League Match Reports are downloaded from the web site of UEFA by a web-crawler. Using regular expressions we annotate these match reports and then extract events from annotated match reports. Extracted events are saved in an MPEG-7 file. We present an interface that is used to query the events in the MPEG-7 match corpus. If an associated match video is available, the video portions that correspond to the found events could be played. © 2008 IEEE. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T11:35:40Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2008 | en |
dc.identifier.doi | 10.1109/ISCIS.2008.4717935 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/26782 | en_US |
dc.language.iso | English | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1109/ISCIS.2008.4717935 | en_US |
dc.source.title | 23rd International Symposium on Computer and Information Sciences, ISCIS 2008 | en_US |
dc.subject | Information extraction | en_US |
dc.subject | MPEG-7 | en_US |
dc.subject | Semantic querying of video content | en_US |
dc.subject | Video annotation | en_US |
dc.subject | Information analysis | en_US |
dc.subject | Information science | en_US |
dc.subject | Information theory | en_US |
dc.subject | Metadata | en_US |
dc.subject | Semantics | en_US |
dc.subject | Visual communication | en_US |
dc.subject | Websites | en_US |
dc.subject | World Wide Web | en_US |
dc.subject | Event detection | en_US |
dc.subject | Information extraction | en_US |
dc.subject | Metadata extraction | en_US |
dc.subject | Regular expressions | en_US |
dc.subject | Semantic querying of video content | en_US |
dc.subject | Soccer domain | en_US |
dc.subject | Soccer videos | en_US |
dc.subject | Text files | en_US |
dc.subject | Video annotation | en_US |
dc.subject | Web site | en_US |
dc.subject | Motion Picture experts group standards | en_US |
dc.title | Metadata extraction from text in soccer domain | en_US |
dc.type | Conference Paper | en_US |
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