Automatic dynamic texture transformation based on a new motion coherence metric

NCUIR > College of Electrical Engineering & Computer Science > Department of Computer Science and information Engineering > journal & Dissertation > Item 987654321/106368

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106368

Title:	Automatic dynamic texture transformation based on a new motion coherence metric
Authors:	施國琛;Wattanachote, Kanoksak;Shih, Timothy K.
Contributors:	資訊電機學院資訊工程學系
Keywords:	Algorithms;Coherence;Coherence analysis;Color;Dynamic texture transformation;Dynamics;Histograms;Human motion;Image color analysis;Matching;motion coherence analysis;Motion segmentation;motion template matching;Source code;special effects;Texture;Three dimensional motion;Transformations;video editing;Videos
Date:	2016-10-01
Issue Date:	2026-04-23 13:18:54 (UTC+8)
Publisher:	Institute of Electrical and Electronics Engineers Inc.;New York: IEEE
Abstract:	摘要： Changing dynamic texture appearances can create new looks in both the motion and color appearances of videos. Dynamic textures with sophisticated shape and motion appearance are difficult to represent by physical models and are difficult to predict, especially for transformation to new motion texture. We propose a dynamic texture transformation algorithm for the video sequences based on the motion coherence of patches. We successfully apply the technology in many special effect videos, using the interactive tool we developed. In this paper, we address the issues of 3-D patch creation, motion coherence analysis, and patch matching for the dynamic texture transformation. The main contribution includes two issues. First, we propose a new metric for evaluating motion coherence with solid tests to justify the usefulness (close to human eye perception). Second, the proposed algorithm for an automatic dynamic texture transformation only needs users to segment textures on the first frame using an optional threshold to identify the texture area. The rest of the process is completed automatically. The experimental results show that the motion coherence index is effectively used to find the coherent motion region for patch matching and transformation. The experimental results, test data, source code, and system demonstration videos are posted at http://video.minelab.tw/DTT/index.html. 其他題名： TCSVT 出版者： New York: IEEE 出版日期： 2016-10 出處： IEEE transactions on circuits and systems for video technology, 2016-10, Vol.26 (10), p.1805-1820 資源來源： IEEE Electronic Library (IEL) 版權： Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2016 識別號： ISSN: 1051-8215 識別號： EISSN: 1558-2205 識別號： DOI: 10.1109/TCSVT.2015.2469552 識別號： CODEN: ITCTEM
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

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