A Probabilistic Adaptation Method for HTTP Low-Delay Live Streaming over Mobile Networks
The study focuses on the adaptation problem for HTTP low-delay live streaming over mobile networks. In this context, the client's small buffer could be easily underflown due to throughput variations. To maintain seamless streaming, we present a probabilistic approach to adaptively decide the bi...
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| Published in | IEICE Transactions on Information and Systems Vol. E100.D; no. 2; pp. 379 - 383 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Tokyo
The Institute of Electronics, Information and Communication Engineers
01.01.2017
Japan Science and Technology Agency |
| Subjects | |
| Online Access | Get full text |
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| Abstract | The study focuses on the adaptation problem for HTTP low-delay live streaming over mobile networks. In this context, the client's small buffer could be easily underflown due to throughput variations. To maintain seamless streaming, we present a probabilistic approach to adaptively decide the bitrate for each video segment by taking into account the instant buffer level. The experimental results show that the proposed method can significantly reduce buffer underflows while providing high video bitrates. |
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| AbstractList | The study focuses on the adaptation problem for HTTP low-delay live streaming over mobile networks. In this context, the client's small buffer could be easily underflown due to throughput variations. To maintain seamless streaming, we present a probabilistic approach to adaptively decide the bitrate for each video segment by taking into account the instant buffer level. The experimental results show that the proposed method can significantly reduce buffer underflows while providing high video bitrates. |
| Author | LE, Hung T. PHAM, Anh T. THANG, Truong Cong NGOC, Nam PHAM |
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| CitedBy_id | crossref_primary_10_1109_TCSVT_2018_2850740 crossref_primary_10_1016_j_jvcir_2019_01_012 crossref_primary_10_1145_3373359 |
| Cites_doi | 10.1109/GLOCOMW.2013.6825039 10.1109/JSAC.2014.140403 10.1145/2155555.2155570 10.1145/2151677.2151686 10.1016/j.image.2011.10.003 10.1109/COMST.2014.2360940 10.1145/1943552.1943575 10.1109/TCE.2012.6170058 10.1109/WoWMoM.2011.5986186 |
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| Copyright | 2017 The Institute of Electronics, Information and Communication Engineers Copyright Japan Science and Technology Agency 2017 |
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| References | [5] R. Kooji, K. Ahmed, and K. Brunnstrom, “Perceived quality of channel zapping,” Proc. 5th Int. Conf. Commun. Syst. and Netw. (CSN'06), pp.155-158, Aug. 2006. [6] T. Lohmar, T. Einarsson, P. Frojdh, F. Gabin, and M. Kampmann, “Dynamic adaptive http streaming of live content,” Proc. IEEE Int. Symp. on a World of Wireless, Mobile and Multimedia Netw., pp.1-8, Jun. 2011. [1] T.C. Thang, Q.-D. Ho, J.W. Kang, and A.T. Pham, “Adaptive streaming of audiovisual content using MPEG DASH,” IEEE Trans. Consum. Electron., vol.58, no.1, pp.78-85, Feb. 2012. [8] J.V. Hooft, S. Petrangeli, M. Claeys, J. Famaey, and F. De Turck, “A learning-based algorithm for improved bandwidth-awareness of adaptive streaming clients,” Proc. Int. Symp. on Integrated Netw. Man. (IM'15), pp.131-138, May 2015. [11] S. Lederer, C. Müller, and C. Timmerer, “Dynamic adaptive streaming over HTTP dataset,” Proc. 3rd ACM Conf. on Multimedia Syst. (MMSys '12), pp.89-94, Feb. 2012. [12] C. Liu, I. Bouazizi, and M. Gabbouj, “Rate adaptation for adaptive HTTP streaming,” Proc. 2nd ACM Conf. on Multimedia Syst.(MMSys'11), pp.169-174, Feb. 2011. [2] S. Akhshabi, S. Narayanaswamy, A.C. Begen, and C. Dovrolis, “An experimental evaluation of rate-adaptive video players over HTTP,” Signal Processing: Image Communication, vol.27, no.4, pp.271-287, Apr. 2012. [7] S. Benno, A. Beck, J.O. Esteban, L. Wu, and R. Miller, “Wilo: A rate determination algorithm for has video in wireless networks and low-delay applications,” Proc. IEEE Globecom Workshop, Atlanta, GA, pp.512-518, Dec. 2013. [9] M. Seufert, S. Egger, M. Slanina, T. Zinner, T. Hoßfeld, and P. Tran-Gia, “A survey on quality of experience of HTTP adaptive streaming,” IEEE Commun. Surveys Tuts., vol.17, no.1, pp.469-492, 2015. [4] T.C. Thang, H.T. Le, A.T. Pham, and Y.M. Ro, “An evaluation of bitrate adaptation methods for HTTP live streaming,” IEEE J. Sel. Areas Commun., vol.32, no.4, pp.693-705, Apr. 2014. [3] ISO/IEC IS 23009-1, “Information technology-dynamic adaptive streaming over HTTP (DASH)-part 1: Media presentation description and segment formats,” 2012. [10] C. Müller, S. Lederer, and C. Timmerer, “An evaluation of dynamic adaptive streaming over HTTP in vehicular environments,” Proc. 4th Workshop on Mobile Video (MoVid '12), pp.37-42, 2012. 11 1 12 2 3 4 5 6 7 8 9 10 |
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| SubjectTerms | Adaptation adaptivity Buffers DASH Delay Digital media HTTP streaming low-delay Networks Probabilistic methods Probability theory Segments Streaming media Wireless networks |
| Title | A Probabilistic Adaptation Method for HTTP Low-Delay Live Streaming over Mobile Networks |
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