Picture water droplets

Developing mathematical theories of the physical world: Open Access research on fluid dynamics from Strathclyde

Strathprints makes available Open Access scholarly outputs by Strathclyde's Department of Mathematics & Statistics, where continuum mechanics and industrial mathematics is a specialism. Such research seeks to understand fluid dynamics, among many other related areas such as liquid crystals and droplet evaporation.

The Department of Mathematics & Statistics also demonstrates expertise in population modelling & epidemiology, stochastic analysis, applied analysis and scientific computing. Access world leading mathematical and statistical Open Access research!

Explore all Strathclyde Open Access research...

Reliable camera motion estimation from compressed MPEG videos using machine learning approach

Wang, Zheng and Ren, Jinchang and Wang, Yubin and Sun, Meijun and Jiang, Jianmin (2013) Reliable camera motion estimation from compressed MPEG videos using machine learning approach. Optical Engineering, 52 (5). ISSN 0091-3286

[img]
Preview
PDF (CME-OEL-ver6d)
CME_OEL_ver6d.pdf
Preprint

Download (873kB) | Preview

Abstract

As an important feature in characterizing video content, camera motion has been widely applied in various multimedia and computer vision applications. A novel method for fast and reliable estimation of camera motion from MPEG videos is proposed, using support vector machine for estimation in a regression model trained on a synthesized sequence. Experiments conducted on real sequences show that the proposed method yields much improved results in estimating camera motions while the difficulty in selecting valid macroblocks and motion vectors is skipped.