NDLI: Physics-based dynamic texture analysis and synthesis model using GPU

Content Provider	IET Digital Library
Author	Ghadekar, Premanand Pralhad
Abstract	The texture is a repetition of a particular structure. Textures classified into static texture and dynamic texture. There are two approaches for synthesising dynamic textures: image-based approach and physics-based approach. In the proposed work, the synthesis of different dynamic textures is shown. The physics-based approach is used to synthesise dynamic texture videos. Different mathematical models are proposed which are suitable to give appropriate motion to the dynamic textures. The raw frames are created, and these frames are further used to synthesise the dynamic textures using physics laws and mathematical formulae. The flexibility of each model is demonstrated. The proposed model has less specificity and less computational complexity. The proposed algorithms are implemented on the graphics processing unit to reduce the overall execution time and time complexity. High-quality videos are produced, and the evaluation of every frame assures the quality.
Starting Page	2356
Ending Page	2364
Page Count	9
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 11, Sep (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0984
Journal	IET Image Processing
Publisher Date	2020-04-02
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computational Complexity Computer Vision And Image Processing Technique Different Dynamic Textures Dynamic Texture Videos Graphics Processing Units Graphics Technique Image Texture Image-based Approach Optical, Image And Video Signal Processing Physics-based Approach Physics-based Dynamic Texture Analysis Static Texture Video Signal Processing
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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