NDLI: Image sequence stabilisation: motion vector integration (MVI) versus frame position smoothing (FPS)

Content Provider	IEEE Xplore Digital Library
Author	Erturk, S.
Copyright Year	2001
Description	Author affiliation: Dept. of Electron. & Telecommun. Eng., Kocaeli Univ., Izmit, Turkey (Erturk, S.)
Abstract	Image sequence stabilisation is the task of removing unwanted camera movements (jitter) from a video sequence. While these jitter can be translational, rotational or zoom based, translational cases have a larger influence on visual perception and are most likely to result in visual appearance degradation that will upset the viewer. While most of the research in the area of image stabilisation has been concentrated in the motion estimation part, with the goal of accurate global motion estimation, the correction part has been given less attention. Two techniques have been reported for the correction of translational jitter: motion vector integration (MVI) and frame position smoothing (FPS). While most reported stabilisation systems have employed MVI, this paper shows that FPS outperforms this technique in that jitter stabilisation is accomplished while successfully preserving intentional camera motions, without the need to compromise as is the case in MVI.
Sponsorship	IEEE Region 8
Starting Page	266
Ending Page	271
File Size	551461
Page Count	6
File Format	PDF
ISBN	9539676940
DOI	10.1109/ISPA.2001.938639
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-06-19
Publisher Place	Croatia
Access Restriction	Subscribed
Rights Holder	Univ. Computing Center, Univ. of Zagreb
Subject Keyword	Image sequences Smoothing methods Motion estimation Cameras Jitter Sensor systems Tracking Parameter estimation Visual perception Degradation
Content Type	Text
Resource Type	Article

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