A Robust, Efficient, and Fast Global Motion Estimation Method from MPEG Compressed Video

Authors:
Hongliang Li;Guizhong Liu;Yongli Li;Zhongwei Zhang
Affiliations:
-;-;-;-
Venue:
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2002

Citing 8
Cited 1

Video parsing and browsing using compressed data

Multimedia Tools and Applications
A fast algorithm for video parsing using MPEG compressed sequences

ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Fast scene change detection using direct feature extraction fromMPEG compressed videos

IEEE Transactions on Multimedia
Estimation of global motion parameters by complex linear regression

IEEE Transactions on Image Processing
Efficient, robust, and fast global motion estimation for video coding

IEEE Transactions on Image Processing
Rapid scene analysis on compressed video

IEEE Transactions on Circuits and Systems for Video Technology
Two-stage motion compensation using adaptive global MC and local affine MC

IEEE Transactions on Circuits and Systems for Video Technology
Rapid estimation of camera motion from compressed video with application to video annotation

IEEE Transactions on Circuits and Systems for Video Technology

Combining apparent motion and perspective as visual cues for content-based camera motion indexing

Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the field of content-based visual information, detection of visual features is a significant topic. In order to process video data efficiently, visual features extraction is required. Many of the advanced video applications require manipulations of compressed video data. In this paper, an effective approach that detects global motion in MPEG compressed images is proposed. First, the moving background of the current frame is extracted using predictive error dcimage. Second, a new global motion detecting method based on a 6-parameters camera motion analysis is proposed in this paper. In the evaluation experiments, several video test sequences are used to test the proposed algorithm, and compared with an existing method. The experimental results show the efficiency and robustness of our algorithm in the global motion estimation.