Motion Compensation Using 2-D Deformable Mesh for Very Low Bit-Rate Video System

碩士 === 義守大學 === 資訊工程學系 === 87 === Motion Compensation is a key technique for video compression since it can effectively reduce temporal redundancy of a video signal. Block-based method is the popular technique and was adopted by the current video coding standards. Recently, mesh-based met...

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Main Authors: Mao-Hsiung Hung, 洪茂雄
Other Authors: Chaur-Heh Hsieh
Format: Others
Language:en_US
Published: 1999
Online Access:http://ndltd.ncl.edu.tw/handle/17423232003074628778
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spelling ndltd-TW-087ISU003920022016-02-03T04:32:42Z http://ndltd.ncl.edu.tw/handle/17423232003074628778 Motion Compensation Using 2-D Deformable Mesh for Very Low Bit-Rate Video System 適用極低位元率視訊系統之二維變形網格運動補償 Mao-Hsiung Hung 洪茂雄 碩士 義守大學 資訊工程學系 87 Motion Compensation is a key technique for video compression since it can effectively reduce temporal redundancy of a video signal. Block-based method is the popular technique and was adopted by the current video coding standards. Recently, mesh-based method has received great attention since it can handle complex motion types such as rotation and zooming, which can not be solved by block-based method. Thus it significantly reduces the blocking artifacts of the conventional block-based method. In this thesis, a new motion compensation method using 2-D deformable mesh is presented for coding a video signal in a very low bit-rate. The method contains two novel techniques including regular nonuniform mesh and weighted interpolation block matching. The former generates a simple and regular mesh to effectively characterize a moving picture. The latter estimates the displacements of grid points of a mesh by exploiting the motion correlation of neighboring patches. Experimental results show that the new method can obtain about 2dB improvement of PSNR over conventional block-based method. In addition, it improves the visual quality of prediction significantly. Chaur-Heh Hsieh 謝朝和 1999 學位論文 ; thesis 69 en_US
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description 碩士 === 義守大學 === 資訊工程學系 === 87 === Motion Compensation is a key technique for video compression since it can effectively reduce temporal redundancy of a video signal. Block-based method is the popular technique and was adopted by the current video coding standards. Recently, mesh-based method has received great attention since it can handle complex motion types such as rotation and zooming, which can not be solved by block-based method. Thus it significantly reduces the blocking artifacts of the conventional block-based method. In this thesis, a new motion compensation method using 2-D deformable mesh is presented for coding a video signal in a very low bit-rate. The method contains two novel techniques including regular nonuniform mesh and weighted interpolation block matching. The former generates a simple and regular mesh to effectively characterize a moving picture. The latter estimates the displacements of grid points of a mesh by exploiting the motion correlation of neighboring patches. Experimental results show that the new method can obtain about 2dB improvement of PSNR over conventional block-based method. In addition, it improves the visual quality of prediction significantly.
author2 Chaur-Heh Hsieh
author_facet Chaur-Heh Hsieh
Mao-Hsiung Hung
洪茂雄
author Mao-Hsiung Hung
洪茂雄
spellingShingle Mao-Hsiung Hung
洪茂雄
Motion Compensation Using 2-D Deformable Mesh for Very Low Bit-Rate Video System
author_sort Mao-Hsiung Hung
title Motion Compensation Using 2-D Deformable Mesh for Very Low Bit-Rate Video System
title_short Motion Compensation Using 2-D Deformable Mesh for Very Low Bit-Rate Video System
title_full Motion Compensation Using 2-D Deformable Mesh for Very Low Bit-Rate Video System
title_fullStr Motion Compensation Using 2-D Deformable Mesh for Very Low Bit-Rate Video System
title_full_unstemmed Motion Compensation Using 2-D Deformable Mesh for Very Low Bit-Rate Video System
title_sort motion compensation using 2-d deformable mesh for very low bit-rate video system
publishDate 1999
url http://ndltd.ncl.edu.tw/handle/17423232003074628778
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