Abstract
Multimedia services such as video-on-demand or Internet protocol television in mobile environments have established themselves in our daily lives, yet the obtained quality of service still leads to many open issues. One of them consists in minimizing the server bandwidth, and we recently proposed a novel patching scheme for transporting true video-on-demand called Hierarchical Patching, which minimizes the server bandwidth. In this paper, we present a new concept called Low Start, consisting of encoding the first part of a movie with a lower bitrate than the rest. In Hierarchical Patching, video parts at the beginning have a much higher probability to be transmitted than parts at the end. By using Low Start, we show that the overall server bandwidth can be drastically reduced. We furthermore investigate the impact of Low Start on the subjective quality of service as perceived by human observers, and show that, for mobile video, the optimal strategy is to encode a very short start time with a bandwidth as low as possible.
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References
Bar-Noy A, Goshi J, Ladner RE, Tam K (2004) Comparison of stream merging algorithms for media-on-demand. Multimedia Syst 9(5):411–423
Dan A, Sitaram D, Shahabuddin P (1994) Scheduling policies for an on-demand video server with batching. In: ACM multimedia, pp 391–398
Boggia G, Camarda P, L-Mazzeo Mongiello M (2005) Performance of batching schemes for multimedia-on-demand services. IEEE Trans Multimedia 7(5):920–931
Aggarwal C, Wolf J, Yu P (1996) On optimal piggyback merging policies for video-on-demand systems. In: Proc. 1996 ACM SIGMETRICS conf. measurement and modeling of computer systems
Kameda T, Sun R (2003) Survey on VOD broadcasting schemes. Tech rep, School of Computing Science, SFU
Eager DL, Vernon MK (1998) Dynamic skyscraper broadcasts for video-on-demand. In: Lecture notes in computer science; proceedings of the 4th international workshop on advances in multimedia information systems, vol 1508. Innsbruck, Austria
Hua K, Cai Y, Sheu S (1998) Patching: a multicast technique for true video-on-demand services. In: ACM multimedia’98. Bristol, UK, pp 191–200
Cai Y, Hua K, Vu K (1999) Optimizing patching performance. In: Proceedings of multimedia computing and networking, pp 204–215
Guan D, Yu S (2004) A two-level patching scheme for video-on-demand delivery. IEEE Trans Broadcast 50(1):11–15
Cai Y, Tavanapong W, Hua K (2007) A double patching technique for efficient bandwidth sharing in video-on-demand systems. Journal of Multimedia Tools and Applications 32(1):115–136
Sato K, Katsumoto M, Miki T (2005) Fragmented patching: new vod technique that supports client mobility. In: 19th international conference on advanced information networking and applications (AINA’05), vol 1, pp 527–532
Griwodz C, Liepert M, Zink M, Steinmetz R (2000) Tune to lambda patching. In: ACM performance evaluation review. Innsbruck, Austria
Eager D, Vernon M, Zahorjan J (2001) Minimizing bandwidth requirements for on-demand data delivery. IEEE Trans Knowl Data Eng 13(5):742–757
Griwodz C, Zink M, Liepert M, On G, Steinmetz R (2000) Multicast for savings in cache-based video distribution. In: Multimedia computing and networking. San Jose, USA
Wang B, Sen S, Adler M, Towsley D (2002) Optimal proxy cache allocation for efficient streaming media distribution. In: Proc. IEEE INFOCOM02
Hlavacs H, Buchinger S (2008) Hierarchical video patching with optimal server bandwidth. ACM Transactions on Multimedia Computing Communications and Applications 4(1)
Yu H, Zheng D, Zhao BY, Zheng W (2006) Understanding user behavior in large-scale video-on-demand systems. SIGOPS Oper Syst Rev 40(4):333–344. doi:http://doi.acm.org/10.1145/1218063.1217968
Agboma F, Liotta A (2006) User centric assessment of mobile contents delivery. In: Proceedings of MoMM 2006. Indonesia, Yogyakarta
Wang Z, Lu L, Bovic A (2004) Video quality assessment using structural distortion measurement. Signal Process Image Commun 19(2):121–132
Wang Z, Simoncelli E, Bovik A (2003) Multi-scale structural similarity for image quality assessment. In: Proc. of the 37th IEEE asilomar conf. on signals, systems and computers, pp 1398–1402
Winkler S, Mohandas P (2008) The evolution of video quality measurement: from psnr to hybrid metrics. IEEE Trans Broadcast 54(3):660–668. doi:10.1109/TBC.2008.2000733
ITU-R BT.500-11 (2002) Methodology for the subjective assessment of the quality of television pictures. ITU-R BT.500-11
Pereira F, Ebrahimi T (2002) The MPEG-4 book. IMSC Press Multimedia Series. Prentice Hall, Englewood Cliffs
van Belle G (2008) Statistical rules of thumb. Wiley, New Jersey
Hartung J, Elpelt B, Klösener KH (2002) Lehr- und handbuch der angewandten statistik. Oldenbourg, München, Wien
Knoche H, McCarthy JD, Sasse MA (2008) How low can you go? The effect of low resolutions on shot types in mobile TV. Multimedia Tools and Applications 36(1–2):145–166
ITU-T P.910 (1999) Subjective video quality assessment methods for multimedia applications. ITU-T P.910, ITU
Acknowledgements
We would like to thank Helmut Bineder and the following students from BRG 18 Schopenhauer Realgymnasium for helping us with our PQoS experiments: Tobias Faulhammer, Patrick Barrientos, Tamara Jankovich, Adina Girsch, Marion Augustin, Alexander Kiennast, Christian Ratzenhofer, Marco Skodak, Dijana Ruda, Betim Cermenika, Elisabeth Oppolzer, Nikolas Hauser, as well as our own students.
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Buchinger, S., Hlavacs, H. Optimal server bandwidth for mobile video on demand. Ann. Telecommun. 65, 31–46 (2010). https://doi.org/10.1007/s12243-009-0152-8
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DOI: https://doi.org/10.1007/s12243-009-0152-8