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2016 ITU Kaleidoscope Academic Conference
withstands the fluctuations of widely varying link bit rates. International Tele traffic Congress (ITC 27), Ghent, pp-177–
Strategic decisions in real-time adaptation of video stream 184, 2015.
were based on the time series analysis of the streamed data, [4] Junghwan Lee, Nakjung Choi, ChuckYoo, “HAVS: hybrid
with an objective to achieve maximum obtainable quality. adaptive video streaming for mobile devices”, IEEE
The proposed ABBA algorithm was implemented and tested Transactions on Consumer Electronics , Volume 60 , Issue 2,
on different standard video quality metrics and result showed pp.210-216, May 2014.
an improvement over other two existing approach (HDR and [5] Dhananjay Kumar, Nandha Kishore, Easwaran, A. Srinivasan,
BSR algorithm) in all quality index presented here. Although A. J. Manoj Shankar L., Arun Raj, "Adaptive Video Streaming
the system is targeted towards cinematic video, it can also Over Http Through 3g/4g Wireless Networks Employing
support tele-medicine applications where doctors can Dynamic On The Fly Bitrate Analysis", ITU Kaleidoscope:
communicate to their peers. The proposed work was Trust in the Information Society, Barcelona, December 2015.
implemented and tested in one way communication, but can
be extended to two-way video streaming. [6] “Airtel 4G Wi-Fi Hotspot”. [Online]. Available at:
http://www.airtel.in/4g/index. [Accessed 30 May 2016].
[7] Angelos Michalas, Aggeliki Sgora, Dimitrios D. Vergados,
”FDASH: A Fuzzy-Based MPEG/DASH Adaptation
Algorithm”, IEEE Systems Journal, Volume 10, Number 2,
pp.859-868, June 2016.
[8] Parikshit Juluri, Venkatesh Tamarapalli, “SARA: Segment
Original Frames
aware rate adaptation algorithm for dynamic adaptive
streaming over HTTP”, IEEE International Conference on
Communication Workshop (ICCW), pp 1765-1770, June
2015.
[9] ITU-T Recommendation Series Y, “Global Information
Decoded Frames Infrastructure, Internet Protocol Aspects and Next generation
Figure 10. Live streaming from server to client Networks”, document # Y.1540, March 2011.
[10] ITU-T Recommendation Series J, “Reference algorithm for
computing peak signal to noise ratio of a processed video
sequence with compensation for constant spatial shifts,
constant temporal shift, and constant luminance gain and
offset”, document # J.340, June 2010.
[11] ITU-T Recommendation Series J,” Method for specifying
accuracy and cross-calibration of Video Quality Metrics
Original Frames (VQM) ”, document # J.149, March 2004.
[12] ISO/IEC JTC1/SC29/WG11 and ITU-T SG16 Q.6, “New
Video Quality Metrics in the H.264 Reference Software”,
document # JVT-AB031, July, 2008.
[13] Huda M. A. El Hag, Sami M. Sharif, "An adjusted ARIMA
model for internet traffic", IEEE Africon, Windhoek, pp.1-6,
Decoded Frames September 2007.
Figure 11. Stored Video Streaming for Entertainment [14] Tano, Subanar, "New procedure for determining order of
subset autoregressive integrated moving average (ARIMA)
ACKNOWLEDGEMENT based on over-fitting concept", International Conference on
Statistics in Science, Business, and Engineering (ICSSBE),
Langkawi, pp 1-5, Sep 2012.
The research work presented here is a part of the [15] Liang Wang and Gaetan A. Libert, "Combining Pattern
University Grant Commission (UGC), Government of India, Recognition Techniques with Akaike’s Information Criteria
New Delhi funded project. We would like to thank the UGC for Identifying ARMA Models", IEEE Transactions On Signal
for the financial support and permission to publish the Processing, Vol. 42, No. 6, June 1994.
outcomes. [16] A. Seghouane, Canberra Res, “The Akaike Information
Criterion With Parameter Uncertainty”, Fourth IEEE
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