Journal of Information Technology Services (한국IT서비스학회지)

Korea Society of IT Services (한국IT서비스학회)
권호 표지
DOI QR코드

DOI QR Code

A User Driven Adaptable Bandwidth Video System for Remote Medical Diagnosis System

원격 의료 진단 시스템을 위한 사용자 기반 적응 대역폭 비디오 시스템

  • Received : 2014.10.28
  • Accepted : 2015.03.20
  • Published : 2015.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

Adaptive bitrate (ABR) streaming technology has become an important and prevalent feature in many multimedia delivery systems, with content providers such as Netflix and Amazon using ABR streaming to increase bandwidth efficiency and provide the maximum user experience when channel conditions are not ideal. Where such systems could see improvement is in the delivery of live video with a closed loop cognitive control of video encoding. In this paper, we present streaming camera system which provides spatially and temporally adaptive video streams, learning the user's preferences in order to make intelligent scaling decisions. The system employs a hardware based H.264/AVC encoder for video compression. The encoding parameters can be configured by the user or by the cognitive system on behalf of the user when the bandwidth changes. A cognitive video client developed in this study learns the user's preferences (i.e. video size over frame rate) over time and intelligently adapts encoding parameters when the channel conditions change. It has been demonstrated that the cognitive decision system developed has the ability to control video bandwidth by altering the spatial and temporal resolution, as well as the ability to make scaling decisions

Keywords

References

  1. Apple Inc., HTTP live streaming overview, Available from:https://developer.apple.com/library/ios/documentation/NetworkingInternet/Conceptual/StreamingMediaGuide/StreamingMediaGuide.pdf., 2014.
  2. Chang, C. and C.-J. Lin, "Libsvm : A Library for Support Vector Machines", ACM Transactions on Intelligent Systems and Technology( TIST), Vol.2, No.3, 2011, 27.
  3. De Cicco, L., S. Mascolo, and V. Palmisano, Feedback control for adaptive live video streaming, in : Proceedings of the second annual ACM conference on Multimedia systems, ACM, 2011, 145-156.
  4. ITU-T RECOMMENDATION, 264 advanced video coding for generic audio visual services, ISO/IEC 14496.
  5. Lohmar, T., T. Einarsson, P. Frojdh, F. Gabin, and M. Kampmann, Dynamic adaptive http streaming of live content, in : 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks(WoWMoM), IEEE, 2011, 1-8.
  6. Ohm, R., "Advances in scalable video coding", Proceedings of the IEEE, Vol.93, No.1, 2005, 42-56. https://doi.org/10.1109/JPROC.2004.839611
  7. Oyman, O. and S. Singh, "Quality of experience for http adaptive streaming services", IEEE Communications Magazine, Vol.50, No.4, 2012, 20-27. https://doi.org/10.1109/MCOM.2012.6178830
  8. Ozturk, Y. and M. Kulkarni, "Di Chirp : Direct Injection Bandwidth Estimation", International Journal of Network Management, Vol.18, No.5, 2008, 377-394. doi : 10.1002/nem.674. URL http://dx.doi.org/10.1002/nem.674.
  9. Schulzrinne, H., Real time streaming protocol (rtsp), Apr. 1998.
  10. Schwarz, H., D. Marpe, and T. Wiegand, "Overview of the scalable video coding extension of the h.264/avc standard", IEEE Transactions on Circuits and Systems for Video Technology, Vol.17, No.9, 2007, 1103-1120. https://doi.org/10.1109/TCSVT.2007.905532
  11. Unane, I., I. Urteaga, R. Husemann, J. Del Ser, V. Roseler, A. Rodriguez, and P. Sanchez, A tutorial on h.264/svc scalable video coding and its tradeoff between quality, coding, efficiency, and performance, in : J.D.S. Lorente (Ed.), Recent Advances on Video Coding, InTech, 2011, available from : http://www.intechopen.com/books/recent-advances-on-video-coding/.
  12. Wenger, S. and T. Stockhammer, RTP payload format for h. 264 video. Feb. 2005.
  13. Zambelli, A., IIs smooth streaming technical overview, Microsoft Corporation, Mar. 2009.