NDLI: Video stabilisation with total warping variation model

Content Provider	IET Digital Library
Author	Wu, Huicong Xiao, Liang Shim, Hiuk Jae Tang, Songze
Abstract	This study proposes a robust approach to stabilise videos with a new variational minimising model. In video stabilisation, accumulation error often occurs in cascaded transformation chain-based methods. To alleviate accumulation error, a new total warping variation (TWV) model is proposed, which describes the smoothness of stabilised camera motion and calculates all the warping transformations efficiently. After estimating original motion parameters based on a 2D similarity transformation model, the corresponding warping parameters are calculated under the TWV minimising framework, where the separable property of the motion parameters is utilised to obtain a closed-form solution. The proposed method provides robust, smooth and precise motion trajectories after stabilisation. Furthermore, an iterative TWV method is introduced to reduce high-frequency jitters as well as low-frequency motions. Moreover, an online TWV method is presented for a long video sequence streaming by adopting a sliding windowed approach. Experimental results on various shaky video sequences show the effectiveness of the proposed method.
Starting Page	465
Ending Page	474
Page Count	10
ISSN	17519659
Volume Number	11
e-ISSN	17519667
Issue Number	Issue 7, Jul (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/11/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2016.0645
Journal	IET Image Processing
Publisher Date	2017-03-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	2D Similarity Transformation Model Accumulation Error Cascaded Transformation Chain-based Method Computer Vision And Image Processing Technique High-frequency Jitter Reduction Iterative TWV Method Minimisation Motion Estimation Motion Parameter Estimation Motion Reduction Motion Trajectories Online TWV Method Optical, Image And Video Signal Processing Optimisation Technique Robust Approach Shaky Video Sequence Sliding Windowed Approach Stabilised Camera Motion Smoothness Total Warping Variation Model TWV Minimising Framework Variational Minimising Model Video Sequence Streaming Video Signal Processing Video Stabilisation Warping Transformations
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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