Event detection based on generic characteristics of field-sports

Author

Sadlier, David ; O´Connor, Noel E.

Author_Institution

Centre for Digital Video Process., Dublin City Univ., Ireland

fYear

2005

fDate

6-8 July 2005

Abstract

In this paper, we propose a generic framework for event detection in broadcast video of multiple different field-sports. Features indicating significant events are selected, and robust detectors built. These features are rooted in generic characteristics common to all genres of field-sports. The evidence gathered by the feature detectors is combined by means of a support vector machine, which infers the occurrence of an event based on a model generated during a training phase. The system is tested across multiple genres of field-sports including soccer, rugby, hockey and Gaelic football and the results suggest that high event retrieval and content rejection statistics are achievable.

Keywords

content-based retrieval; digital video broadcasting; statistical analysis; support vector machines; video retrieval; video signal processing; content rejection statistics; event detection; event retrieval; field-sports; generic characteristics; support vector machine; training phase; video broadcasting; Broadcasting; Computer vision; Content based retrieval; Detectors; Event detection; Multimedia communication; Phase detection; Robustness; Support vector machines; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on

Print_ISBN

0-7803-9331-7

Type

conf

DOI

10.1109/ICME.2005.1521534

Filename

1521534