Dominant motion estimation and video partitioning with a 1D signal approach.
被引:4
作者:
Coudert, F
论文数: 0引用数: 0
h-index: 0
机构:
SEI IVC IRESTE, EP 63 CNRS, F-44306 Nantes, FranceSEI IVC IRESTE, EP 63 CNRS, F-44306 Nantes, France
Coudert, F
[1
]
Benois-Pineau, J
论文数: 0引用数: 0
h-index: 0
机构:
SEI IVC IRESTE, EP 63 CNRS, F-44306 Nantes, FranceSEI IVC IRESTE, EP 63 CNRS, F-44306 Nantes, France
Benois-Pineau, J
[1
]
Barba, D
论文数: 0引用数: 0
h-index: 0
机构:
SEI IVC IRESTE, EP 63 CNRS, F-44306 Nantes, FranceSEI IVC IRESTE, EP 63 CNRS, F-44306 Nantes, France
Barba, D
[1
]
机构:
[1] SEI IVC IRESTE, EP 63 CNRS, F-44306 Nantes, France
来源:
MULTIMEDIA STORAGE AND ARCHIVING SYSTEMS III
|
1998年
/
3527卷
关键词:
video indexing;
shot change detection;
motion estimation;
robust estimation;
D O I:
10.1117/12.325822
中图分类号:
TP31 [计算机软件];
学科分类号:
081202 ;
0835 ;
摘要:
This paper presents a novel approach for an automatic partitioning of video sequences based on scene change detection and global motion estimation. The method is based on a 1D representation of images, the Bin transform, which is a discrete version of the Radon transform. Analysis of the motion and detection of the scene change are realized in the transform domain using online statistical techniques. The analysis of a 1D signal rather than the mostly used 2D image signal limits computational complexity by itself and permits fast algorithms.