Multimedia Tools and Applications

, Volume 76, Issue 15, pp 16605–16623 | Cite as

Context-aware HDR video distribution for mobile devices

  • Miguel Melo
  • Luís Barbosa
  • Maximino Bessa
  • Kurt Debattista
  • Alan Chalmers


HDR video on mobile devices is in its infancy and there are no solutions yet that can achieve full HDR video reproduction due to computational power limitations. In this paper we present a novel and versatile solution that allows the delivery of HDR video on mobile devices by taking into account contextual information and retro-compatibility for devices that do not have the computational power to decode HDR video. The proposed solution also enables the remote transmission of HDR video to mobile devices in real-time. This context-aware HDR video distribution solution for mobile devices is evaluated and discussed by considering the impact of HDR videos over conventional low dynamic range videos on mobile devices as well as the challenge of playing HDR videos directly locally or remotely.


High dynamic range video Mobile devices Video delivery Tone-mapping Video streaming Context-aware 



This work is supported by the project “TEC4Growth - Pervasive Intelligence, Enhancers and Proofs of Concept with Industrial Impact/NORTE-01-0145-FEDER-000020” is financed by the North Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, and through the European Regional Development Fund (ERDF). This work is also supported by the project REC II/EEI-SII/0360/2012 entitled “MASSIVE - Multimodal Acknowledgeable multiSenSorial Immersive Virtual Environments” financed by the European Union (COMPETE, QREN and FEDER). Chalmers and Debattista are supported by Royal Society Industrial Fellowships.


  1. 1.
    AndroidPit (2014) Android 5.0 lollipop best features. Accessed: 30/04/2015
  2. 2.
    Banterle F, Artusi A, Debattista K, Ledda P, Bonnet G, Edwards G, Chalmers A (2011) Video data compression. US Patent App. 12/984,992
  3. 3.
    Castro TK, Chapiro A, Cicconet M, Velho L (2011) Towards mobile HDR video. In: Day A, Mantiuk R, Reinhard E, Scopigno R (eds) Eurographics 2011 - areas papers. doi: 10.2312/EG2011/areas/075-076. The Eurographics Association
  4. 4.
    Design B (2012) Ultrastudio mini recorder - technical specifications. Accessed: 13/05/2015
  5. 5.
    Eilertsen G, Wanat R, Mantiuk RK, Unger J (2013) Evaluation of tone mapping operators for hdr-video. In: Computer graphics forum, vol 32. Wiley Online Library, pp 275–284Google Scholar
  6. 6.
    Entner (2011) International comparisons: the handset replacement cycle. Accessed: 30/04/2015
  7. 7.
    goHDR (2014) Encoder. Accessed: 12/05/2015
  8. 8.
    goHDR (2014) gohdr. Accessed: 12/05/2015
  9. 9.
    IMDB (2013) Imdb interfaces.
  10. 10.
    Lantern M (2013) Magic lantern. Accessed: 13/05/2015
  11. 11.
    Mantiuk R, Daly S, Kerofsky L (2008) Display adaptive tone mapping. ACM Trans Graph 27(3):68,1–68,10. doi: 10.1145/1360612.1360667 CrossRefGoogle Scholar
  12. 12.
    Mantiuk R, Krawczyk G, Mantiuk R, Seidel HP (2007) High dynamic range imaging pipeline: Perception-motivated representation of visual content. In: Rogowitz BE, Pappas TN, Daly SJ (eds) Human vision and electronic imaging XII, proceedings of SPIE, vol 6492. SPIE, San JoseGoogle Scholar
  13. 13.
    Meira C, Melo M, Bessa M, Barbosa L, Chalmers A (2013) Performance of hdr video on mobile devices. In: Bessa M, Manituk R (eds) HDRi2013 - first international conference and SME workshop on HDR imagingGoogle Scholar
  14. 14.
    Melo M, Bessa M, Debattista K, Chalmers A (2014) Evaluation of HDR video tone mapping for mobile devices. Signal Process Image Commun 29(2):247–256. doi: 10.1016/j.image.2013.09.010. Special Issue on Advances in High Dynamic Range Video Research
  15. 15.
    Melo M, Bessa M, Debattista K, Chalmers A (2015) Evaluation of tone mapping operators for hdr video under different ambient luminance levels. Computer Graphics ForumGoogle Scholar
  16. 16.
    Ooyala (2014) Global video index q3 2014. Report, International Telecommunication Union, Silicon ValleyGoogle Scholar
  17. 17.
    Pattanaik SN, Tumblin J, Yee H, Greenberg DP (2000) Time-dependent visual adaptation for fast realistic image display. In: Proceedings of the 27th annual conference on computer graphics and interactive techniques, SIGGRAPH ’00. ACM Press/Addison-Wesley Publishing Co., New York, pp 47–54. doi: 10.1145/344779.344810.
  18. 18.
    Wanat R, Mantiuk RK (2014) Simulating and compensating changes in appearance between day and night vision. ACM Trans Graph 33(4):147,1–147,12. doi: 10.1145/2601097.2601150

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.INESC TEC, Campus da FEUPPortoPortugal
  2. 2.Universidade de Trás-os-Montes e Alto DouroVila RealPortugal
  3. 3.WMG, International Manufacturing CentreUniversity of WarwickCoventryUK

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