Content-Aware Video Adaptation in Low Bit-rate Constraint

碩士 === 國立交通大學 === 資訊工程系所 === 93 === With the development of wireless and the improvement of mobile device capability, video streaming is more and more widespread applied in such environment. Under the limited resource and inherent constraints, appropriate video adaptation has become one of the most...

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Main Authors: Kuan-Hung Chou, 周冠宏
Other Authors: Prof. Suh-Yin Lee
Format: Others
Language:en_US
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/27854284067488854508
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spelling ndltd-TW-093NCTU53920562016-06-06T04:10:45Z http://ndltd.ncl.edu.tw/handle/27854284067488854508 Content-Aware Video Adaptation in Low Bit-rate Constraint 在低頻寬網路環境中利用內容感知之視訊調整 Kuan-Hung Chou 周冠宏 碩士 國立交通大學 資訊工程系所 93 With the development of wireless and the improvement of mobile device capability, video streaming is more and more widespread applied in such environment. Under the limited resource and inherent constraints, appropriate video adaptation has become one of the most important and challenging issues in wireless multimedia application related areas. We propose a novel approach to adapt video based on content information in order to effectively utilize resource and improve visual perceptual quality in this thesis. According to the analyzed characteristics of brightness, location, motion vector, and energy features, combined with capability of client device and correlational statistic model, the attractive or interesting regions of video scene are derived. Therefore, the Region Weighted Rate-Distortion is used for adjusting the bit allocation. Video adaptation scheme dynamically adapt video bitstream through object, frame, and GOP levels. Experimental results show that the proposed scheme is efficient and achieves better visual quality. Prof. Suh-Yin Lee 李素瑛 2005 學位論文 ; thesis 61 en_US
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language en_US
format Others
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description 碩士 === 國立交通大學 === 資訊工程系所 === 93 === With the development of wireless and the improvement of mobile device capability, video streaming is more and more widespread applied in such environment. Under the limited resource and inherent constraints, appropriate video adaptation has become one of the most important and challenging issues in wireless multimedia application related areas. We propose a novel approach to adapt video based on content information in order to effectively utilize resource and improve visual perceptual quality in this thesis. According to the analyzed characteristics of brightness, location, motion vector, and energy features, combined with capability of client device and correlational statistic model, the attractive or interesting regions of video scene are derived. Therefore, the Region Weighted Rate-Distortion is used for adjusting the bit allocation. Video adaptation scheme dynamically adapt video bitstream through object, frame, and GOP levels. Experimental results show that the proposed scheme is efficient and achieves better visual quality.
author2 Prof. Suh-Yin Lee
author_facet Prof. Suh-Yin Lee
Kuan-Hung Chou
周冠宏
author Kuan-Hung Chou
周冠宏
spellingShingle Kuan-Hung Chou
周冠宏
Content-Aware Video Adaptation in Low Bit-rate Constraint
author_sort Kuan-Hung Chou
title Content-Aware Video Adaptation in Low Bit-rate Constraint
title_short Content-Aware Video Adaptation in Low Bit-rate Constraint
title_full Content-Aware Video Adaptation in Low Bit-rate Constraint
title_fullStr Content-Aware Video Adaptation in Low Bit-rate Constraint
title_full_unstemmed Content-Aware Video Adaptation in Low Bit-rate Constraint
title_sort content-aware video adaptation in low bit-rate constraint
publishDate 2005
url http://ndltd.ncl.edu.tw/handle/27854284067488854508
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