Football is one of the most popular sports in the world. It is deeply loved by massive ball fans. Generally one complete football game lasts around two hours, but only a very little part of it has wonderful views which attract audiences. Although in sport matches, episodes which people care about are of high subjectivity, for football games, they share some in common. . So how to fetch out concerned events from tremendous football videos has become a very important and typical problem. Here we propose a new algorithm for extracting effectively key events from football videos, which is named key event extraction method based on attributes of shots. The method proves higher recall and precision rate.
목차
Abstract 1. Introduction 2. Goal Event Extraction Method Based on Attributes of Shots 2.1 Creation of Rules 2.2. Determination of Attributes of Relevant Shots 2.3. Implementation of the Algorithm 3. Experimental Analysis and Results 3.1. Detection Results of Shots in Football Videos 3.2. Determination of Potential Goal Views 3.3. Detection Results of Slow-Lens Replay 3.4 Extraction Results of Goal Events 4. Conclusion References
보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Multimedia and Ubiquitous Engineering
간기
월간
pISSN
1975-0080
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.11 No.1