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

Zheng Wang; Jinchang Ren; Yubin Wang; Meijun Sun; Jianmin Jiang

doi:10.1117/1.OE.52.5.057401

7 May 2013 Reliable camera motion estimation from compressed MPEG videos using machine learning approach

Zheng Wang, Jinchang Ren, Yubin Wang, Meijun Sun, Jianmin Jiang

Author Affiliations +

Funded by: National Science Foundation of China, National Natural Science Foundation in China

Optical Engineering, Vol. 52, Issue 5, 057401 (May 2013). https://doi.org/10.1117/1.OE.52.5.057401

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.

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Zheng Wang, Jinchang Ren, Yubin Wang, Meijun Sun, and Jianmin Jiang "Reliable camera motion estimation from compressed MPEG videos using machine learning approach," Optical Engineering 52(5), 057401 (7 May 2013). https://doi.org/10.1117/1.OE.52.5.057401

Published: 7 May 2013

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KEYWORDS

Cameras

Video

Motion estimation

Video compression

Video surveillance

Motion models

Video processing

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