Fuzzily Adaptive Quantity of Left-side/Right-side 3D Streaming Scheme on P2P environment
碩士 === 國立東華大學 === 電機工程學系 === 102 === Today, the mobile device technologies are advancing with each passing day, the peoples use them to watch videos and deal important business anywhere. Furthermore, the vigorous development of 3D streaming technology make the 3D video conferencing, live broadcast a...
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ndltd-TW-102NDHU54420302019-05-15T21:32:18Z http://ndltd.ncl.edu.tw/handle/6uftye Fuzzily Adaptive Quantity of Left-side/Right-side 3D Streaming Scheme on P2P environment 在P2P環境的左眼/右眼3D串流量之模糊自適應機制 Yu-Jhih Wang 王煜智 碩士 國立東華大學 電機工程學系 102 Today, the mobile device technologies are advancing with each passing day, the peoples use them to watch videos and deal important business anywhere. Furthermore, the vigorous development of 3D streaming technology make the 3D video conferencing, live broadcast and online game which made the peoples feel like they were standing right in the scene themselves. However, to support the huge streaming so that the bandwidth will face enormous challenges. Because such technology is potential to lead the network congestion and longer playback waiting time and blurred image of watching 3D video. In this study, we use the front camera of a mobile devices to track user's viewing way then to calculate the 3D stream of current needs then find the most suitable peer for source supplying. This way consider to the multiple influence factors to chosen supply partners with different data flow. By these simulation results show that our proposed method can reduces video download flow for maintained clarity of the image of the users view thus enhances the node live rate and reduce the extra burden successfully. Han-Chieh Chao 趙涵捷 2014 學位論文 ; thesis 49 |
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碩士 === 國立東華大學 === 電機工程學系 === 102 === Today, the mobile device technologies are advancing with each passing day, the peoples use them to watch videos and deal important business anywhere. Furthermore, the vigorous development of 3D streaming technology make the 3D video conferencing, live broadcast and online game which made the peoples feel like they were standing right in the scene themselves. However, to support the huge streaming so that the bandwidth will face enormous challenges. Because such technology is potential to lead the network congestion and longer playback waiting time and blurred image of watching 3D video. In this study, we use the front camera of a mobile devices to track user's viewing way then to calculate the 3D stream of current needs then find the most suitable peer for source supplying. This way consider to the multiple influence factors to chosen supply partners with different data flow. By these simulation results show that our proposed method can reduces video download flow for maintained clarity of the image of the users view thus enhances the node live rate and reduce the extra burden successfully.
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Han-Chieh Chao |
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Han-Chieh Chao Yu-Jhih Wang 王煜智 |
author |
Yu-Jhih Wang 王煜智 |
spellingShingle |
Yu-Jhih Wang 王煜智 Fuzzily Adaptive Quantity of Left-side/Right-side 3D Streaming Scheme on P2P environment |
author_sort |
Yu-Jhih Wang |
title |
Fuzzily Adaptive Quantity of Left-side/Right-side 3D Streaming Scheme on P2P environment |
title_short |
Fuzzily Adaptive Quantity of Left-side/Right-side 3D Streaming Scheme on P2P environment |
title_full |
Fuzzily Adaptive Quantity of Left-side/Right-side 3D Streaming Scheme on P2P environment |
title_fullStr |
Fuzzily Adaptive Quantity of Left-side/Right-side 3D Streaming Scheme on P2P environment |
title_full_unstemmed |
Fuzzily Adaptive Quantity of Left-side/Right-side 3D Streaming Scheme on P2P environment |
title_sort |
fuzzily adaptive quantity of left-side/right-side 3d streaming scheme on p2p environment |
publishDate |
2014 |
url |
http://ndltd.ncl.edu.tw/handle/6uftye |
work_keys_str_mv |
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