簡易檢索 / 詳目顯示
| 研究生： |
王秉軒 Bing-Syuan Wang |
|---|---|
| 論文名稱： |
基於KMA自適應機制即時編碼之DASH串流系統的設計與實現 Design and Implementation of a KMA based Real-time Transcoding Scheme for DASH Streaming System |
| 指導教授： |
呂政修
Jenq-Shiou Leu |
| 口試委員: |
周承復
Cheng-Fu Chou 阮聖彰 Shanq-Jang Ruan 陳維美 Wei-Mei Chen 吳晉賢 Chin-Hsien Wu |
| 學位類別： |
碩士 Master |
| 系所名稱： |
電資學院 - 電子工程系 Department of Electronic and Computer Engineering |
| 論文出版年： | 2016 |
| 畢業學年度： | 104 |
| 語文別： | 中文 |
| 論文頁數： | 30 |
| 中文關鍵詞： | MPEG-DASH 、網路串流 、線上編碼 、網路儲存裝置 、多媒體串流 、核心移動平均 、自適應機制 、影像品質 |
| 外文關鍵詞： | MPEG-DASH, HTTP streaming, Live transcoding, Network attached storage, streaming, kernel moving average, self-adaptation, video quality |
| 相關次數： | 點閱：204 下載：5 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
近年來，由於行動網路的普及，以及對HTTP(Hypertext Transfer Port)串流需求的提升，有越來越多的線上平台提供多媒體串流服務，然而我們可以發現，在這些服務平台之中，冷門影片的數量遠大於熱門影片的數量，因此，若能夠有效率的由以上這點來節省儲存空間會是個值得研究的議題。而在漸漸普及的家用網路儲存系統(Network Attached Storage, NAS)，沒有企業及網路服務的大儲存空間，對儲存空間的管理則會更加的重要。再者，對網路串流服務來說，能夠跨平台播放是現在的趨勢，而國際動態影像專業組織MPEG所提出的Dynamic Adaptive Streaming over HTTP (DASH) 協定正好符合我們的需求，因此，本篇論文提出了基於Kernel Moving Average (KMA) 之DASH線上即時編碼系統，能夠當使用者播放多媒體內容時即時地編碼來解省儲存空間。
Nowadays, there is an increasing requirement for HTTP streaming over the mobile network. Lots of online platforms provide multimedia streaming services. We can find that the quantity of videos that few people saw is much more than the one of the popular videos. Hence, it is necessary to save storage on the server due to a large amount of multimedia. It is the same to save when storing these video contents on personal Network Attached Storage (NAS), whose capacity is much limited. Moreover, an efficient HTTP streaming service should adapt to the network condition. Therefore, we proposed a real-time transcoding scheme for Dynamic Adaptive Streaming over HTTP (DASH) based on the Kernel Moving Average (KMA) scheme. KMA is used to estimate the network throughput. The scheme can transcode the video instantly according to the estimated result. Comprehensive experiments validate the concept proposed in this study.
[1] C. S. Inc, "Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2015-2020 White Paper," February 2016.
[2] A. Begen, T. Akgul, and M. Baugher, "Watching Video over the Web: Part 2: Applications, Standardization, and Open Issues," IEEE Internet Computing, vol. 15, pp. 59-63, 2011.
[3] R. P. E. W. May, "HTTP Live Streaming," IETF Internet draft, work in progress, Mar 2011.
[4] A. Vakali and G. Pallis, "Content delivery networks: status and trends," IEEE Internet Computing, vol. 7, pp. 68-74, 2003.
[5] W. Shen, L. Huang, X. Zhang, and C. Zhang, "A New Streaming Media Network Architecture Based on the Fusion of P2P and CDN," in Multimedia Technology (ICMT), 2010 International Conference on, 2010, pp. 1-6.
[6] I. Sodagar, "The MPEG-DASH Standard for Multimedia Streaming Over the Internet," IEEE MultiMedia, vol. 18, pp. 62-67, 2011.
[7] T. C. Thang, H. T. Le, H. X. Nguyen, A. T. Pham, J. W. Kang, and Y. M. Ro, "Adaptive video streaming over HTTP with dynamic resource estimation," Journal of Communications and Networks, vol. 15, pp. 635-644, 2013.
[8] C. Y.-S. L. Jenq-Shiou, "Increasing the DASH-based Video Streaming Quality by the KMA-based Self-adaptation Scheme," 2015.
[9] S. Lederer, C. Mueller, B. Rainer, M. Waltl, and C. Timmerer, "An open source MPEG DASH evaluation suite," in Visual Communications and Image Processing (VCIP), 2012 IEEE, 2012, pp. 1-1.
[10] T. Wiegand, G. J. Sullivan, G. Bjontegaard, and A. Luthra, "Overview of the H.264/AVC video coding standard," IEEE Transactions on Circuits and Systems for Video Technology, vol. 13, pp. 560-576, 2003.
[11] O. Nemcic, M. Vranjes, and S. Rimac-Drlje, "Comparison of H.264/AVC and MPEG-4 part 2 coded video," in ELMAR, 2007, 2007, pp. 41-44.
[12] M. Zhao, X. Gong, J. Liang, W. Wang, X. Que, and S. Cheng, "QoE-Driven Cross-Layer Optimization for Wireless Dynamic Adaptive Streaming of Scalable Videos Over HTTP," IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, pp. 451-465, 2015.
[13] N. Bouten, S. Latr, x00E, J. Famaey, W. V. Leekwijck, and F. D. Turck, "In-Network Quality Optimization for Adaptive Video Streaming Services," IEEE Transactions on Multimedia, vol. 16, pp. 2281-2293, 2014.
[14] D. Jarnikov, T, x00D, x00E, and elebi, "Client intelligence for adaptive streaming solutions," in Multimedia and Expo (ICME), 2010 IEEE International Conference on, 2010, pp. 1499-1504.
[15] A. Puri, L. Yan, and B. G. Haskell, "Temporal resolution scalable video coding," in Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference, 1994, pp. 947-951 vol.2.
[16] H. T. Le, D. V. Nguyen, N. P. Ngoc, A. T. Pham, and T. C. Thang, "Buffer-based bitrate adaptation for adaptive HTTP streaming," in 2013 International Conference on Advanced Technologies for Communications (ATC 2013), 2013, pp. 33-38.
