How to help people to find their favorite sports in the massive video, in order to achieve this goal in the finite state machine (FSM) theory based on in-depth research. Combined with the actual situation of this paper, first, we determined the reasonable FSM model. Then, a fast robust global motion estimation algorithm is used to estimate the global motion of the video sequences, and the foreground is separated from the background by motion compensation. After the foreground of the video, a series of image feature extraction algorithm, which is based on the main color histogram and histogram, is used to extract the low level feature extraction. Finally, the results of the experimental operation, the performance of the algorithm, and the results of the system are presented.
목차
Abstract 1. Introduction 2. Analysis of the Structure of Jumping Videos 3. Studies on Methods for Detecting Jumping Sport Video Shot Boundaries 3.1. Foreground/Background Segmentation-Initial Segmentation 3.2. Extraction of Motion Information Further Segmentation 3.3. Feature Descriptor for Video Frames 4. Experimental Analysis and Results 4.1. Environment of Simulation Experiment 4.2. System Implementation 4.3. Experimental Results and Performance Evaluation 5. Conclusion References
키워드
Sports VideoFinite-state MachineField KnowledgeLong Jump Video
저자
Maohua Zhuang [ Harbin Institute of Sports, Harbin 150000, China ]
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.9