As to solving the effectiveness and efficiency problem in the process of detecting the near duplicated video, we the thesis proposes a graph-based matching algorithm on sub-sequence of near duplicated video. The method will built similarity researching results based on the features of key frames feature into the query matching diagram, and then the near duplicated video detection is converted into a problem of searching the longest path in the matching results graph. As for its main advantage, firstly, it can find the best matching sequence in many cluttered matching results, which can effectively exclude a lot of noises brought by certain false “high similarity” matching, thus to some extent it can compensate the deficiencies of the underlying characterization force. Secondly, because it fully understands and uses the timing characteristics of the video sequences, the positioning accuracy of near duplicated video is with a high degree. Finally, multiple discrete paths existing in the matching results graphs are automatically detected, thus the situation where two video segments may exist several near duplicated videos can be detected once time. Experimental results show that the graph-based matching algorithm on video sub sequence improve the detection accuracy, at the same time improve the detection efficiency, which achieved good practice effect.
목차
Abstract 1. Introduction 2. A Graph-based Matching Algorithm on Sub-sequence of Near Duplicated Video A. Algorithm Framework B. Algorithm Realization 3. Experiments and Analysis A. Experimental Procedure B. Experiment Results c. Experimental Analyses 4. Conclusions References
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
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 Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.8 No.11