Computation-Aware Motion Estimation Based On Search Points Constraints

碩士 === 義守大學 === 資訊工程學系 === 100 === In recent years, the development of wireless networks and multimedia application services provide solutions to achieve watching digital videos on hand-held devices. Video compression is an important technique for digital video transmission and storage, and the moti...

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Main Authors: Liu, Chialin, 劉佳麟
Other Authors: Kuo, Chungming
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/91041436826070288883
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spelling ndltd-TW-100ISU003920272015-10-13T21:07:18Z http://ndltd.ncl.edu.tw/handle/91041436826070288883 Computation-Aware Motion Estimation Based On Search Points Constraints 以搜尋點數限制為基礎計算有限運動估測演算法 Liu, Chialin 劉佳麟 碩士 義守大學 資訊工程學系 100 In recent years, the development of wireless networks and multimedia application services provide solutions to achieve watching digital videos on hand-held devices. Video compression is an important technique for digital video transmission and storage, and the motion estimation is the most important part of video compression. Traditional motion estimation (ME) algorithms focused on decreasing computation cost without losing significant visual quality. However, for hand-held devices, the computations for motion estimation could be overloaded, even using the fast algorithms, i.e., the traditional ME algorithms are not suitable to be used on the hand-held devices. In this thesis, we focus on solving the overload problem on hand-held devices. We propose a computation-aware ME based on constraining search points. In addition, we couple the sub-sampling patterns to further reduce the computational complexity. Experimental results indicate that the proposed method significantly reduces the requirement of computation power. Kuo, Chungming 郭忠民 2012 學位論文 ; thesis 67 zh-TW
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language zh-TW
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sources NDLTD
description 碩士 === 義守大學 === 資訊工程學系 === 100 === In recent years, the development of wireless networks and multimedia application services provide solutions to achieve watching digital videos on hand-held devices. Video compression is an important technique for digital video transmission and storage, and the motion estimation is the most important part of video compression. Traditional motion estimation (ME) algorithms focused on decreasing computation cost without losing significant visual quality. However, for hand-held devices, the computations for motion estimation could be overloaded, even using the fast algorithms, i.e., the traditional ME algorithms are not suitable to be used on the hand-held devices. In this thesis, we focus on solving the overload problem on hand-held devices. We propose a computation-aware ME based on constraining search points. In addition, we couple the sub-sampling patterns to further reduce the computational complexity. Experimental results indicate that the proposed method significantly reduces the requirement of computation power.
author2 Kuo, Chungming
author_facet Kuo, Chungming
Liu, Chialin
劉佳麟
author Liu, Chialin
劉佳麟
spellingShingle Liu, Chialin
劉佳麟
Computation-Aware Motion Estimation Based On Search Points Constraints
author_sort Liu, Chialin
title Computation-Aware Motion Estimation Based On Search Points Constraints
title_short Computation-Aware Motion Estimation Based On Search Points Constraints
title_full Computation-Aware Motion Estimation Based On Search Points Constraints
title_fullStr Computation-Aware Motion Estimation Based On Search Points Constraints
title_full_unstemmed Computation-Aware Motion Estimation Based On Search Points Constraints
title_sort computation-aware motion estimation based on search points constraints
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/91041436826070288883
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AT liújiālín yǐsōuxúndiǎnshùxiànzhìwèijīchǔjìsuànyǒuxiànyùndònggūcèyǎnsuànfǎ
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