Highlight Summarization in Sports Video Based on Replay Detection

Author

Zhao, Zhao ; Jiang, Shuqiang ; Huang, Qingming ; Zhu, Guangyu

Author_Institution

Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing

fYear

2006

fDate

9-12 July 2006

Firstpage

1613

Lastpage

1616

Abstract

Highlight summarization technology has been studied widely in sports video analysis. In this paper, we propose a highlight summarization system based on replays. First the replay clips in the sports video are extracted as the highlight candidates. Then the features including audio energy and motion activity are employed to rank the arousal level of the replay clips. Finally we model the highlight with the arousal rank to generate summarization. The contribution of this paper concentrates on two aspects. Firstly, Event-Replay (ER) structure is proposed and some new features are employed to represent the arousal levels of ER for general sports video. Secondly a novel highlight model is proposed considering the inter-relation of ERs. The experiments evaluate the rationality of the system

Keywords

feature extraction; sport; video signal processing; event-replay structure; feature extraction; highlight summarization technology; replay detection; sports video analysis; Computer science; Erbium; Event detection; Games; Motion detection; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2006 IEEE International Conference on

Conference_Location

Toronto, Ont.

Print_ISBN

1-4244-0366-7

Electronic_ISBN

1-4244-0367-7

Type

conf

DOI

10.1109/ICME.2006.262855

Filename

4036924