| dc.contributor.advisor | Kokaram, Anil | |
| dc.contributor.author | Rea, Niall | |
| dc.date.accessioned | 2019-05-01T15:27:06Z | |
| dc.date.available | 2019-05-01T15:27:06Z | |
| dc.date.issued | 2005 | |
| dc.identifier.citation | Niall Rea, 'High-level event detection in broadcast sports video', [thesis], Trinity College (Dublin, Ireland). Department of Electronic & Electrical Engineering, 2005, pp 219 | |
| dc.identifier.other | THESIS 8021 | |
| dc.identifier.uri | http://hdl.handle.net/2262/86593 | |
| dc.description.abstract | This thesis investigates semantic analysis of broadcast sports footage. A domain dependent
sports video model is proposed. Under this model, the game semantics can be derived
according to their relationship with the sequence of dynamic events that occur in the sport
and the evolution of the spatio-temporal behaviour of a relevant object. Snooker and tennis
are targeted as typical broadcast sports footage for the purpose of this research. The problem
focus is to automatically extract semantically meaningful events and to convey a useful
representation to the user. | |
| dc.format | 1 volume | |
| dc.language.iso | en | |
| dc.publisher | Trinity College (Dublin, Ireland). Department of Electronic & Electrical Engineering | |
| dc.relation.isversionof | http://stella.catalogue.tcd.ie/iii/encore/record/C__Rb13058343 | |
| dc.subject | Electronic and Electrical Engineering, Ph.D. | |
| dc.subject | Ph.D. Trinity College Dublin | |
| dc.title | High-level event detection in broadcast sports video | |
| dc.type | thesis | |
| dc.type.supercollection | thesis_dissertations | |
| dc.type.supercollection | refereed_publications | |
| dc.type.qualificationlevel | Doctoral | |
| dc.type.qualificationname | Doctor of Philosophy (Ph.D.) | |
| dc.rights.ecaccessrights | openAccess | |
| dc.format.extentpagination | pp 219 | |
| dc.description.note | TARA (Trinity's Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie | |
