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Multimedia framework to support eHealth applications

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Abstract

Limited bandwidth resources lead to a number of challenges especially for eHealth applications, which are communicated over IP and wireless networks. These multimedia services include high-resolution videos and have very large file sizes that require a high level of compression to overcome this limitation. Therefore, there is an acute demand for the research community to provide an efficient multimedia framework to encode medical videos with high quality specifically under the conditions of an error-prone environment. Both an affordable delivery framework and effective coding techniques are extremely desirable for the delivery of high-quality eHealth video applications for transmission over heterogeneous networks and devices. In this paper, we propose and demonstrate a multimedia framework to support eHealth applications, which has an improved coding scheme that uses an SVC-scalable extension of MPEC-4 AVC/H.264. Simulation results show that the proposed scheme achieves a significant improvement in terms of the PSNR-Y gain and reduces the picture quality degradation caused by artifacts and distortions, compared to the existing scheme.

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References

  1. Amon P, Rathgen T, Singer D (2007) File format for scalable video coding. IEEE Trans Circ Syst Video Technol 17(9)

  2. Boyce JM, Gaglianello RD (1998) Packet loss effects on MPEG video sent over the public internet. In: Proc. of the ACM Multimedia 98. Bristol, England

  3. Chowdhury A, Chien H-C, Khire S, Fan S-H, Tang X, Jayant N, Chang G-K (2010) Next-Generation E-Health Communication Infrastructure using Converged Super-Broadband Optical and Wireless Access System. WoWMoM 2010, pp 1–5, Montreal, QC, Canada

  4. Cui Y, Cai A (2007) A novel mode selection algorithm for H.264 inter-frames. J Beijing Univ Posts Telecommun 30(4):55–59

    Google Scholar 

  5. DICOM Part 5: Data Structures and Encoding. [Online]. Available: http://medical.nema.org/Dicom/2011/11_05pu.pdf

  6. DICOM, Supplement 149: MPEC-4 AVC/H.264 Transfer Syntax, 2011. [Online]. Available: ftp://medical.nema.org/medical/dicom/final/sup149_ft.pdf

  7. Digital Imaging and Communications in Medicine (DICOM) (2008) NEMA Publications, “DICOM strategic document”, Ver. 8.0, [Online]. Available: http://medical.nema.org/dicom/geninfo/Strategy.pdf

  8. Head and neck, 3D CT scan [Online]. Available: http://www.sciencephoto.com/media/390385/view

  9. Huang Y-M, Hsieh M-Y, Chao H-C, Hung S-H, Park JH (2009) Pervasive, secure access to a hierarchical-based healthcare monitoring architecture in wireless heterogeneous sensor networks. IEEE J Sel Areas Commun JSAC 27(4):400–411

    Article  Google Scholar 

  10. Istepanian RSH, Lacal JC (2003) Emerging mobile communication technologies for health some imperative notes on m-health. Proceeding of the 25th Annual international Conference of the IEEE EMBS Cancun, Mexica

  11. ITU-T Technical watch report [Online]. Available: http://www.itu.int/ITU-T/techwatch

  12. JVT.H.264/SVC reference software (JSVM 9.8) and manual. CVS sever at garcon.ient.rwth-aachen.de

  13. Kim DK, Yaoo SK, Chao M, Bae KY, Kim YD, Heo JH (2009) A mobile telemedicine system for remote consultation system in cases of acute stroke. J Telemed Telecare 15:102–107

    Article  Google Scholar 

  14. Li H, Li ZG, Wen C (2006) Fast mode decision algorithm for inter frame coding in fully scalable video coding. IEEE Trans Circ Syst Video Technol 16(7):889–895

    Article  Google Scholar 

  15. MedPix®Radiology [Online]. Available: http://rad.usuhs.edu/medpix/medpix.html?mode=tf2&action=pre&acr_pre=4

  16. MRI of lung echo sequence, SpringerImages [Online]. Available: http://www.springerimages.com/Images/RSS/1-10.1007_s00330-010-1918-0-9

  17. Multi-slice CT scan [Online]. Available: http://www.springerimages.com/Images/MedicineAndPublicHealth/1-10.1007_s10554-006-9155-y-v1

  18. Nazir F (2012) H.264/SVC for medical videos: basics, concepts & simulations. Lambert Academic Publishing

  19. Nkosi MT, Mekuria E (2010) Cloud Computing for Enhanced Mobile Health Applications. IEEE International Conference on Cloud Computing Technology and Science, pp 629–633, USA

  20. Onguru O, Celasun B (2000) Intra-hospital use of telepathology system. Pathol Oncol Res 6(3)

  21. Pattichis CS, Kyriacou E, Voskarides S, Istepanian RSH (2002) Wireless telemedicine systems: an overview. IEEE Antennas Propag 44:143–153

    Article  Google Scholar 

  22. Perednia DA, Allen A (1995) Telemedicine technology and clinical applications. J Am Med Assoc 273:483–488

    Article  Google Scholar 

  23. Pereira ORE, Caldeira JMPL, Rodrigues JJPC (2011) Body sensor network mobile solutions for biofeedback monitoring. Mobile Networks and Applications (MONET), Springer 16(6):713–732. doi:10.1007/s11036-010-0278-y

  24. Picture Archive and Communication System [Online]. Available: http://www.fresno.ucsf.edu/housestaffportal/documents/synapse_pacs.pdf

  25. Propsal for New Work Item for WG13 on MPEC-4 AVC/ H.264 Video Coding. [Online]. Available: ftp://medical.nema.org/medical/Dicom/

  26. PYUV: raw video sequence player. [Online]. Available: http://dsplab.diei.unipg.it/pyuv_raw_video_sequence_player_original_one

  27. Question 28/16 – Multimedia Framework for e-Health Applications. [Online]. Available: http://www.itu.int/ITUT/studygroups/com16/sg16-q28.html

  28. Reichel J (2006) Joint scalable video model JSVM-8. In: Proc. ISO/IEC JTC1/SC29/WG11/JVT-U202, Hangzhou, China

  29. Roadmap for telemedcine [Online]. Available: http://www.itu.int/publ/T-TUT-EHT-2006-RTM/en

  30. Schierl T, Gänger K, Stockhammer T, Wiegand T (2006) SVC-based multi source streaming for robust video transmission in mobile ad-hoc networks. IEEE Wirel Commun Mag 13(5):96–103

    Article  Google Scholar 

  31. Schierl T, Stockhammer T, Wiegand T (2007) Mobile video transmission using scalable video coding. IEEE Trans Circ Syst Video Technol 17(9)

  32. Schwarz H, Marpe D, Wiegand T (2007) Overview of the scalable video coding extension of H.264/AVC. IEEE Trans Circ Syst Video Technol 17(9):1103–1120

    Article  Google Scholar 

  33. Seshadrinathan K, Soundararajan R, Bovik AC, Cormack LK (2010) Study of subjective and objective quality assessment of video. IEEE Trans Image Process 19(6):1427–1441

    Article  MathSciNet  Google Scholar 

  34. Shoaib M, Cai A (2010) Improved MB Mode Prediction in Extended Spatial Scalability with Error Resilient Coding. International Conference on Wireless Communications Networking and Mobile Computing, pp 1–6, China

  35. Singh IP, Chand RD, Mishra CK (2008) Comparative technical evaluation of various communication media used for telemedical video-conference. HealthCom 1–2

  36. Soomro A, Schmitt R (2011) A framework for mobile healthcare applications over heterogeneous networks. IEEE International Conference on e-Health Networking Applications and Services, pp 70–73, USA

  37. Su MJ, Ma HM, Ko CL, Chiang WC, Yang CW, Chen SJ, Chen R, Chen HS (2008) Application of tele-ultrasound in emergency medical services. Telemed J E-Health 14:816–824

    Article  Google Scholar 

  38. TacbkaraS, Wang XH, Istepanian RS, Song YH (2003) Mobile E health; the unwired evolution of telemedicine. Telemed E-Health J 247–257

  39. Wang Y-K, Hannuksela MM, Pateux S, Eleftheriadis A, Wenger S (2007) System and transport interface of SVC. IEEE Trans Circ Syst Video Technol 17(9)

  40. Wang X, Ridge J (2006) Improvement of macroblock mode prediction in ESS. In: Proc. ISO/IEC JTC1/SC29/WG11/JVT-V108r1, Marrakech, Morocco

  41. Wang X, Ridge J (2007) CE2 report: Improvement of macroblock mode prediction in ESS. In: Proc. ISO/IEC JTC1/SC29/WG11/JVT-W030, San Jose, California, USA

  42. Wenger S (1999) Error patterns for Internet experiments. TU Berlin, Doc. VCEG-Q15-I-16r1, New Jersey

  43. Wien M, Cazoulat R, Graffunder A, Amon P (2007) Real-Time systems for adaptive video streaming based on SVC. IEEE Trans Circ Syst Video Technol 17(9)

  44. Wien M, Schwarz H, Oelbaum T (2007) Performance analysis of SVC. IEEE Trans Circ Syst Video Technol 17(9)

  45. Wu D, Pan F, Lim KP, Wu S, Li ZG, Lin X, Rahardja S, Ko CC (2005) Fast intermode decision in H.264/AVC video coding. IEEE Trans Circ Syst Video Technol 15(6):953–958

    Article  Google Scholar 

  46. Yao W, Istepanian RSH (2002) 3 G mobile communications for wireless tele-echography robotic system. Proceedings of the World Multiconference on Systemics, Cybernetics and Informatics, Orlando, Florida, USA, pp138–142

  47. Yu S et al (2008) A tele-opthalomology system based on secure video conferencing and white-board. HealthCom 51–52

  48. Zhou L, Wang X, Tu W, Mutean G, Geller B (2010) Distributed scheduling scheme for video streaming over multi-channel multi-radio multi-hop wireless networks. IEEE J Sel Areas Commun JSAC 28(3):409–419

    Article  Google Scholar 

  49. Ziviani A, Wolfinger BW, Rezende JF, Duarte O, Fdida S (2005) Joint adoption of QoS schemes for MPEG streams. Multimedia Tools Appl 26(1):59–80

    Article  Google Scholar 

Download references

Acknowledgments

The authors extend their appreciation to the Research Center in College of Computer and information Sciences at King Saud University for funding this work through Proposal No.: RC121233.

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Correspondence to Muhammad Shoaib.

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Shoaib, M., Ahmad, U. & Al-Amri, A. Multimedia framework to support eHealth applications. Multimed Tools Appl 73, 2081–2101 (2014). https://doi.org/10.1007/s11042-013-1631-5

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