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Proceedings Paper

Dominant motion estimation and video partitioning with a 1D signal approach
Author(s): Fabrice Coudert; Jenny Benois-Pineau; Dominique Barba
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Paper 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.

Paper Details

Date Published: 5 October 1998
PDF: 12 pages
Proc. SPIE 3527, Multimedia Storage and Archiving Systems III, (5 October 1998); doi: 10.1117/12.325822
Show Author Affiliations
Fabrice Coudert, IRESTE/Univ. de Nantes (France)
Jenny Benois-Pineau, IRESTE/Univ. de Nantes (France)
Dominique Barba, IRESTE/Univ. de Nantes (France)


Published in SPIE Proceedings Vol. 3527:
Multimedia Storage and Archiving Systems III
C.-C. Jay Kuo; Shih-Fu Chang; Sethuraman Panchanathan, Editor(s)

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