1998
@inproceedings{CBB1998,
vgclass = {refpap},
author = {F. Coudert and J. Benois-Pineau and D. Barba},
title = {Dominant motion estimation and video partitioning with a
{1D} signal approach},
editor = {C.-C. Jay Kuo and Shih-Fu Chang and Sethuraman
Panchanathan},
booktitle = {Multimedia Storage and Archiving Systems III (VV02)},
address = {Boston, Massachusetts, USA},
volume = {3527},
series = {SPIE Proceedings},
pages = {283--294},
month = {November},
year = {1998},
note = {(SPIE Symposium on Voice, Video and Data Communications)},
abstract = {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.},
}