Dominant motion estimation and video partitioning with a 1D signal approach

Fabrice Coudert; Jenny Benois-Pineau; Dominique Barba

doi:10.1117/12.325822

5 October 1998 Dominant motion estimation and video partitioning with a 1D signal approach

Fabrice Coudert, Jenny Benois-Pineau, Dominique Barba

Proceedings Volume 3527, Multimedia Storage and Archiving Systems III; (1998) https://doi.org/10.1117/12.325822
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

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.

Citation Download Citation

Fabrice Coudert, Jenny Benois-Pineau, and Dominique Barba "Dominant motion estimation and video partitioning with a 1D signal approach", Proc. SPIE 3527, Multimedia Storage and Archiving Systems III, (5 October 1998); https://doi.org/10.1117/12.325822

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