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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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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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.
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Prof. Suh-Yin Lee |
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Prof. Suh-Yin Lee Kuan-Hung Chou 周冠宏 |
author |
Kuan-Hung Chou 周冠宏 |
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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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