Classification of self-consumable highlights for soccer video summaries
| Contribuinte(s) |
Chen, Liang-Gee |
|---|---|
| Data(s) |
01/01/2004
|
| Resumo |
An effective scheme for soccer summarization is significant to improve the usage of this massively growing video data. The paper presents an extension to our recent work which proposed a framework to integrate highlights into play-breaks to construct more complete soccer summaries. The current focus is to demonstrate the benefits of detecting some specific audio-visual features during play-break sequences in order to classify highlights contained within them. The main purpose is to generate summaries which are self-consumable individually. To support this framework, the algorithms for shot classification and detection of near-goal and slow-motion replay scenes is described. The results of our experiment using 5 soccer videos (20 minutes each) show the performance and reliability of our framework.<br /> |
| Identificador | |
| Idioma(s) |
eng |
| Publicador |
IEEE Xplore |
| Relação |
http://dro.deakin.edu.au/eserv/DU:30005275/chen-classificationofselfconsumable-2004.pdf http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=30344&arnumber=1394258&count=191&index=149 |
| Direitos |
2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| Tipo |
Conference Paper |
