Implementation and Quality Assessment of a User-Centric Adaptation System for DASH

Year 2019, Volume: 6 Issue: 3, 179 - 184, 30.09.2019

Nukhet Ozbek Atilla Aricioglu

https://doi.org/10.17350/HJSE19030000145

Abstract

I n recent years, dynamic adaptive streaming over HTTP DASH has been widely used in order to let the viewer have an uninterrupted streaming and therefore higher quality-ofexperience QoE . The technique basically relies on dynamic rate adaptation by downloading the video at lower qualities according to various network conditions. However, many issues are open related to client-side rate adaptation. For example, current DASH systems do not yet let the viewer decide which aspect of quality of the video should be reduced first and which aspect of quality of the video should be stable. This paper presents a novel adaptation system for DASH which is designed to search whether a higher QoE might be achieved if the adaptation method could be user-centric. During subjective quality assessment, it has been observed that all the participants have had a higher QoE compared to regular DASH system when they were given a chance to decide the way of adaptation

Keywords

Adaptive streaming, MPEG-DASH, User-centric, SSCQE, QoE.

References

• 1. Apple Inc. http Live Streaming Technical Overview, 2013.
• 2. Zambelli A. Smooth streaming technical overview, 2009.
• 3. Adobe Systems Inc. HTTP Dynamic Streaming, 2013.
• 4. DASH Industry Forum. For Promotion of MPEG-DASH, 2013.
• 5. Sodagar I, Vetro A. The MPEG-DASH Standard for Multimedia Streaming over the Internet. IEEE Computer Society Industry and Standards 18 (2011) 62-67.
• 6. Seyedebrahimi M, Bailey C, Peng X. Client QoE-Oriented Segment Selection for DASH, in: IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing. 26-28 October 2015.
• 7. Gao S, Tao M. Joint multicast scheduling and user association for DASH-based video streaming over heterogeneous cellular networks, in: IEEE International Conference on Communications in China (ICCC). 24 October 2016.
• 8. Liu Y, Dey S, Gillies D, Ulupinar F, Luby M. User Experience Modeling for DASH Video, in: Packet Video Workshop (PV). 12-13 December 2013.
• 9. Sieber C, Hoßfeld T, Zinner T, Tran-Gia P, Timmerer C. Implementation and user-centric comparison of a novel adaptation logic for DASH with SVC, in: IFIP/IEEE International Symposium on Integrated Network Management. 27-31 May 2013.
• 10. Reznik Y. User-adaptive mobile video streaming using MPEGDASH, in: Proc. SPIE 8856. Applications of Digital Image Processing XXXVI. 26 September 2013.
• 11. https://bitmovin.com/html5-player/.
• 12. https://gpac.wp.imt.fr/mp4box/.
• 13. International Telecommunication Union. ITU-R Recommendation BT.500-11: Methodology for the Subjective Assessment of the Quality of Television Pictures, 2002.
• 14. https://www.000webhost.com/.
• 15. http://tmeter.ru/en/.