This paper focuses on the problem that video-GIS has a huge amount of data, which leads to high transmission resource consumption, and introduced attention calculation model to video GIS coding to optimize the coding method so the compression efficiency will be improved as well. Specifically, on the one hand, it will use optical flow technique to calculate the specific location and motion vector of the movement point set of each frame, and reduce the amount of the movement point set integrate with the features of video GIS, then calculate the mask matrix of the foreground movement, and finally compute the Discrete Cosine Transform (DCT) compression integrate with the mask matrix to realize the optimization of the frame macro block level coding. On the other hand, it will calculate the attention of the video frame using the specific location and the motion vector of the movement point set as the primary indicator, and optimize the coding of the video of frame-level according to the calculation result. By experimental verification, the efficiency of video GIS compression is enhanced by the introduction of the features of the video GIS and the cognitive attention theory
목차
Abstract 1. Introduction 2. The Features of Attention-based GIS Video 3. The Attention Calculation Model of GIS Video 3.1. Motion Feature Modeling 3.2. Macro-block Level Attention Calculation Model 3.3 Frame Level Attention Calculation Model 4. GIS Video Coding Method Based on Attention 4.1. Macro-block Level Rate Control Strategy 4.2. Frame Level Rate Control Strategy 5. Experiment and Analysis 5.1. Video Analysis 5.2. Video Coding 6. Conclusion Acknowledgments References
키워드
Geographic Information SystemsVideo-GISVideo StreamingVideo CodingAttention
저자
Jiangfan Feng [ Key Lab of Instrument Science and Dynamic Test, North University of China, Taiyuan 030051, China, School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China ]
Yi Zhu [ School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China ]
Haibin Hu [ Experiment Center, China West Normal University, Nanchong 637002, China ]
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.7 No.5